ORCID Profile
0000-0002-7363-1511
Current Organisation
Macquarie University
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Artificial Intelligence and Image Processing | Virtual Reality And Related Simulation | Expert Systems | Specialist Studies in Education | Adaptive Agents and Intelligent Robotics | Other Artificial Intelligence | Conceptual Modelling | Learning Sciences | Information Systems | Distributed Computing | Educational Technology and Computing | Web Technologies (excl. Web Search) | Computer-Human Interaction | Virtual Reality and Related Simulation | Text Processing | Software Engineering | Computer-Human Interaction | Science, Technology and Engineering Curriculum and Pedagogy | Educational Technology And Media | Studies in the Creative Arts and Writing not elsewhere classified | Curriculum Studies: Science Education |
Application tools and system utilities | Computer software and services not elsewhere classified | Computer Gaming Software | Marketing | Technological and organisational innovation | Technological and Organisational Innovation | Technological Ethics | Conserving the Historic Environment | The Creative Arts (incl. Graphics and Craft) | Conserving Aboriginal and Torres Strait Islander Heritage | Secondary education | Learner and Learning Achievement | Teaching and Instruction Technologies | Occupational training | Internet Broadcasting | Other
Publisher: Springer International Publishing
Date: 26-08-2019
Publisher: Australian Journal of Information Systems
Date: 26-06-2014
Publisher: IGI Global
Date: 2008
DOI: 10.4018/978-1-59904-916-8.CH012
Abstract: This chapter postulates that the problem solving process in many domains involves identifying the class of problem on hand, identifying an appropriate solution, and recognising opportunities for its reuse. A solution is suggested that builds up knowledge of a given domain by recording observations, diagnoses and actions in a ‘3Cs form’ of Cases, Classifications and Conclusions. This solution allows knowledge workers in any domain where heuristics are relied on to form classifications, and then apply generalised conclusions on the basis of the given classification, to collaboratively refine and expand a topic by consistently asking users to confirm, add to, or refine the presented knowledge in the context of the current case being classified. The solution is presented in the context of the Corporate Call Centre and is a significant extension of the Multiple Classification Ripple Down Rules algorithm. A 3Cs Logic Wiki is presented that takes the best features of current collaborative knowledge exchange mechanisms, and captures a logic structure on top of that which provides for rapid indexing of acquired knowledge.
Publisher: Springer International Publishing
Date: 2016
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: SCITEPRESS - Science and and Technology Publications
Date: 2015
Publisher: JMIR Publications Inc.
Date: 15-11-2022
DOI: 10.2196/38525
Abstract: Health care and well-being are 2 main interconnected application areas of conversational agents (CAs). There is a significant increase in research, development, and commercial implementations in this area. In parallel to the increasing interest, new challenges in designing and evaluating CAs have emerged. This study aims to identify key design, development, and evaluation challenges of CAs in health care and well-being research. The focus is on the very recent projects with their emerging challenges. A review study was conducted with 17 invited studies, most of which were presented at the ACM (Association for Computing Machinery) CHI 2020 conference workshop on CAs for health and well-being. Eligibility criteria required the studies to involve a CA applied to a health or well-being project (ongoing or recently finished). The participating studies were asked to report on their projects’ design and evaluation challenges. We used thematic analysis to review the studies. The findings include a range of topics from primary care to caring for older adults to health coaching. We identified 4 major themes: (1) Domain Information and Integration, (2) User-System Interaction and Partnership, (3) Evaluation, and (4) Conversational Competence. CAs proved their worth during the pandemic as health screening tools, and are expected to stay to further support various health care domains, especially personal health care. Growth in investment in CAs also shows the value as a personal assistant. Our study shows that while some challenges are shared with other CA application areas, safety and privacy remain the major challenges in the health care and well-being domains. An increased level of collaboration across different institutions and entities may be a promising direction to address some of the major challenges that otherwise would be too complex to be addressed by the projects with their limited scope and budget.
Publisher: Springer Berlin Heidelberg
Date: 1997
DOI: 10.1007/BFB0026789
Publisher: ACM
Date: 05-11-2018
Publisher: ACM
Date: 27-07-2021
Publisher: MDPI AG
Date: 22-08-2023
Abstract: Whilst the use of digital interventions to assist patients with self-management involving embodied conversational agents (ECA) is emerging, the use of such agents to support stroke rehabilitation and recovery is rare. This iTakeCharge project takes inspiration from the evidence-based narrative style self-management intervention for stroke recovery, the ‘Take Charge’ intervention, which has been shown to contribute to significant improvements in disability and quality of life after stroke. We worked with the developers and deliverers of the ‘Take Charge’ intervention tool, clinical stroke researchers and stroke survivors, to adapt the ‘Take Charge’ intervention tool to be delivered by an ECA (i.e., the Taking Charge Intelligent Agent (TaCIA)). TaCIA was co-designed using a three-phased approach: Stage 1: Phase I with the developers and Phase II with people who delivered the original Take Charge intervention to stroke survivors (i.e., facilitators) and Stage 2: Phase III with stroke survivors. This paper reports the results from each of these phases including an evaluation of the resulting ECA. Stage 1: Phase I, where TaCIA V.1 was evaluated by the Take Charge developers, did not build a good working alliance, provide adequate options, or deliver the intended Take Charge outcomes. In particular, the use of answer options and the coaching aspects of TaCIA V.1 were felt to conflict with the intention that Take Charge facilitators would not influence the responses of the patient. In response, in Stage 1: Phase II, TaCIA V.2 incorporated an experiment to determine the value of providing answer options versus free text responses. Take Charge facilitators agreed that allowing an open response concurrently with providing answer options was optimal and determined that working alliance and usability were satisfactory. Finally, in Stage 2: Phase III, TaCIA V.3 was evaluated with eight stroke survivors and was generally well accepted and considered useful. Increased user control, clarification of TaCIA’s role, and other improvements to improve accessibility were suggested. The article concludes with limitations and recommendations for future changes based on stroke survivor feedback.
Publisher: MDPI AG
Date: 18-08-2018
DOI: 10.3390/MTI2030048
Abstract: There is an increasing interest in the use of intelligent virtual agents (IVAs) to work in teams with humans. To achieve successful outcomes for these heterogeneous teams, many of the aspects found in successful human teams will need to be supported. These aspects include behavioural (i.e., multimodal communication), cognitive (i.e., a shared mental model (SMM)), and social (trust and commitment). Novelly, this paper aims to investigate the impact of IVA’s multimodal communication on the development of a SMM between humans and IVAs. Moreover, this paper aims to explore the impact of the developed SMM on a human’s trust in an IVA’s decisions and a human’s commitment to honour his/her promises to an IVA. The results from two studies involving a collaborative activity showed a significant positive correlation between team multimodal communication (i.e., behavioural aspect) and a SMM between teammates (i.e., cognitive aspect). Moreover, the result showed that there is a significant positive correlation between the developed SMM and a human’s trust in the IVA’s decision and the human’s commitment to honour his/her promises (the establishment of the social aspect of teamwork). Additionally, the results showed a cumulative effect of all of these aspects on human–agent team performance. These results can guide the design of human–agent teamwork multimodal communication models.
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Publisher: ACM
Date: 05-11-2018
Publisher: SAGE Publications
Date: 15-11-2012
Abstract: While leadership has been considered in the higher education (HE) sector, including leadership in learning and teaching (L& T), there is an absence of studies that consider the viewpoint of perhaps the key stakeholder—the student. In this article, the student perspective is gained through an online survey containing questions based on the general leadership literature and the HE literature from the academic viewpoint. The survey seeks to explore how student attitudes compare to those of academics concerning what defines a leader for learning and what competencies and capabilities are considered relevant for L& T leaders by those being led to learn.
Publisher: Elsevier BV
Date: 04-2015
Publisher: IGI Global
Date: 2010
DOI: 10.4018/978-1-60960-080-8.CH011
Abstract: Authoring is a bottleneck in the widespread uptake of technology for training and education as the time and skill needed for domain experts such as trainers and teachers to develop learning modules is prohibitive. In this project the authors are particularly concerned with providing experiential knowledge transfer, where the trainer is able to create scenarios similar to those they have experienced and allow their trainees to consider appropriate responses to such situations. For this the authors need an environment which is immersive for both parties, in which knowledge is acquired, transferred and gained in the context of the scenario. The scenario itself becomes part of the knowledge to be experienced. To this end they have created a simple approach involving synthetic agents within a Virtual Environment who can be changed along with their dialog and behaviour to create and modify scenarios as deemed appropriate by the domain expert in order to improve the learning experiences of the trainee.
Publisher: MDPI AG
Date: 29-05-2023
DOI: 10.3390/MTI7060057
Abstract: There is growing awareness that effective emotion regulation is critical for health, adjustment and wellbeing. Emerging evidence suggests that interventions that promote flexible emotion regulation may have the potential to reduce the incidence and prevalence of mental health problems in specific at-risk populations. The challenge is how best to engage with at risk populations, who may not be actively seeking assistance, to deliver this early intervention approach. One possible solution is via digital technology and development, which has rapidly accelerated in this space. Such rapid growth has, however, occurred at the expense of developing a deep understanding of key elements of successful program design and specific mechanisms that influence health behavior change. This paper presents a detailed description of the design, development and evaluation of an emotion regulation intervention conversational agent (ERICA) who acts as a digital coach. ERICA uses interactive conversation to encourage self-reflection and to support and empower users to learn a range of cognitive emotion regulation strategies including Refocusing, Reappraisal, Planning and Putting into Perspective. A pilot evaluation of ERICA was conducted with 138 university students and confirmed that ERICA provided a feasible and highly usable method for delivering an emotion regulation intervention. The results also indicated that ERICA was able to develop a therapeutic relationship with participants and increase their intent to use a range of cognitive emotion regulation strategies. These findings suggest that ERICA holds potential to be an effective approach for delivering an early intervention to support mental health and wellbeing. ERICA’s dialogue, embedded with interactivity, therapeutic alliance and empathy cues, provide the basis for the development of other psychoeducation interventions.
Publisher: University of New England, Armidale
Date: 12-2021
DOI: 10.14742/ASCILITE2021.0118
Abstract: Curiosity is a significant educational component behind human learning and is vital for a learner to sustain motivation and engagement in both face-to-face and online learning environments. Positive feedback has the potential to support learning by enhancing competence, confidence, and curiosity. Informative feedback at the right time is the sought-after goal in traditional classrooms and is equally important for the learning design within a digital educational environment. In idual differences such as personality, gender, learning style, and curiosity trait can play a crucial role in how feedback is received and acquired knowledge is demonstrated in a different context by a learner. This paper proposes to exploit the benefits of positive feedback in a statistics game by establishing a connection between feedback and curiosity through the lens of the selfdetermination theory of motivation. It presents a work-in-progress psychological theory-based conceptual framework to foster curiosity by means of game-based learning and gamification approaches.
Publisher: ACM
Date: 12-11-2019
Publisher: Springer International Publishing
Date: 2015
Publisher: Elsevier BV
Date: 08-2015
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: MDPI AG
Date: 18-09-2021
DOI: 10.3390/MTI5090056
Abstract: Conversational agents offer promise to provide an alternative to costly and scarce access to human health providers. Particularly in the context of adherence to treatment advice and health behavior change, they can provide an ongoing coaching role to motivate and keep the health consumer on track. Due to the recognized importance of face-to-face communication and establishment of a therapist-patient working alliance as the biggest single predictor of adherence, our review focuses on embodied conversational agents (ECAs) and their use in health and well-being interventions. The article also introduces ECAs who provide explanations of their recommendations, known as explainable agents (XAs), as a way to build trust and enhance the working alliance towards improved behavior change. Of particular promise, is work in which XAs are able to engage in conversation to learn about their user and personalize their recommendations based on their knowledge of the user and then tailor their explanations to the beliefs and goals of the user to increase relevancy and motivation and address possible barriers to increase intention to perform the healthy behavior.
Publisher: Emerald
Date: 09-03-2010
DOI: 10.1108/09696471011019844
Abstract: This paper seeks to understand whether significant senior management and structural changes within an Australian university is the result of learning or other influences and how these explain the impact of change on the careers of two in iduals within the organisation. The organisation and the changes are introduced followed by a microcase study of two in iduals aspiring to the same position. The cause and effect of changes are considered from organisational learning, structural, political and emotional perspectives. Organisational learning was not found to be the primary cause of the changes. (Re)structure was used to increase horizontal power and authority. Decision‐making ranged from rational to emotional based on the strengths of one's political affiliations. Limitations exist by virtue of a restricted number of objects of interest being studied. This paper seeks to challenge the in idual to understand the dynamics within their organisation and to respond in a rational rather than emotional way to organisational change so that they can benefit from or at least learn from the changes at a personal level. The paper considers a range of organisational perspectives and offers a general model of the relationships between structure, power, rationality, emotions, and the unitary v. pluralist views.
Publisher: IGI Global
Date: 2010
DOI: 10.4018/978-1-60960-080-8.CH008
Abstract: Multi-User Virtual Environments (MUVEs) have been found to be engaging and provide an environment in which the elements of discovery, exploration and concept testing, fundamental to the field of science, can be experienced. Furthermore, MUVEs accommodate lifelike experiences with the benefit of the situated and distributed nature of cognition they also provide virtual worlds to simulate the conditions that are not doable or practicable under real world circumstances making them very relevant to many other fields of study such as history, geography and foreign language learning. However, constructing MUVEs can be expensive and time consuming depending on the platform considered. Therefore, providing the most appropriate platform that requires minimal effort, cost and time will make MUVE deployment in the classroom faster and more viable. In this chapter, the authors provide a comparative study of prominent existing platforms for MUVEs that can be used to identify the right balance of functionality, flexibility, effort and cost for a given educational and technical context. A number of metrics are identified, described and used to enable the comparison. Platform assessment was done in four main metric groups: communication and interaction, characters, features and education. Communication and interaction metrics are used to assess how the communication and interaction is done within the examined platform. Character metrics are employed to measure avatar and agent affordances. Features metrics are defined to compare what the platform offers in terms of technology. Lastly, education metrics are used to identify the value of the associated platform for educational purposes.
Publisher: Springer International Publishing
Date: 2018
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: IEEE
Date: 06-2020
Publisher: Springer Science and Business Media LLC
Date: 11-2003
Publisher: IGI Global
Date: 2011
DOI: 10.4018/978-1-60960-080-8.CH007
Abstract: The potential value of Multi-User Virtual Environments (MUVEs) is increasing amongst educationalists. A key issue with MUVE for education is the need to provide system intelligence and believable characters so that the learning goals may be monitored and achieved. Agent-technology offers solutions towards achieving these needs. In this chapter, the authors explore numerous existing educational MUVE and the use of agents for pedagogy in general, as they pave the way forward for delivering intelligent educational MUVE.
Publisher: MDPI AG
Date: 17-04-2019
DOI: 10.3390/A12040079
Abstract: Effective communication in task-oriented situations requires high-level interactions. For human–agent collaboration, tasks need to be coordinated in a way that ensures mutual understanding. Speech Act Theory (SAT) aims to understand how utterances can be used to achieve actions. SAT consists of three components: locutionary act, illocutionary act, and perlocutionary act. This paper evaluates the agent’s verbal communication while collaborating with humans. SAT was used to anatomize the structure of the agent’s speech acts (locutionary acts), the agent’s intention behind the speech acts (illocutionary acts), and the effects on the human’s mental state (perlocutionary acts). Moreover, this paper studies the impact of human perceptions of the agent’s speech acts on the perception of collaborative performance with the agent.
Publisher: Informa UK Limited
Date: 2002
Publisher: Springer US
Date: 2004
Publisher: Emerald
Date: 11-04-2023
DOI: 10.1108/AJIM-03-2022-0161
Abstract: The rising volume of open government data (OGD) contrasts with the limited acceptance and utilization of OGD among citizens. This study investigates the reasons for citizens’ not using available OGD by comparing citizens’ attitudes towards OGD with the development of OGD portals. The comparison includes four OGD utilization processes derived from the literature, namely OGD awareness, needs, access and consumption. A case study in China has been carried out. A sociological questionnaire was designed to collect data from Chinese citizens (demand), and personal visits were carried out to collect data from OGD portals (supply). Results show that Chinese citizens have low awareness of OGD and OGD portals. Significant differences were recognized between citizens’ expectations and OGD portals development in OGD categories and features, data access services and support functions. Correlations were found between citizens’ OGD awareness, needs, access and consumption. By linking the supply of OGD from the governments with each process of citizens’ OGD utilization, this paper proposes a framework for citizens’ OGD utilization lifecycle and provides a new tool to investigate reasons for citizens’ not making use of OGD.
Publisher: Springer Science and Business Media LLC
Date: 02-06-2015
Publisher: Informa UK Limited
Date: 14-05-2023
Publisher: IGI Global
Date: 2008
DOI: 10.4018/978-1-59904-901-4.CH021
Abstract: Innovation is seen by many organizations as the next frontier to be managed in order to gain a competitive advantage and remain sustainable. Innovation management shares much in common with knowledge management, both being recognized as involving a resource, which resides in in iduals, can be valueadded and transferred via (teams of) people, is difficult to capture, is highly contextual, and continually evolving. We believe that innovation is even harder to define, represent, and transfer due to its intrinsic relationship with creativity and novelty generation. Nevertheless, we seek to determine if patterns of behavior do exist which can be used to predict likely future innovative behavior. Current psychometric tests used to test for innovation or creativity often do little more than identify various personality traits or characteristics which can be used to suggest an in idual who might be suitable to fill a recognized gap in the organization. We offer an approach, building on our work along psychological lines with tacit knowledge measurement in the ICT domain that seeks to capture responses to real scenarios experienced by recognized innovators and entrepreneurs. These scenarios and responses are used to evaluate the degree to which the respondent can be considered an innovator so that areas of personal or professional development may be identified.
Publisher: IEEE
Date: 12-2013
Publisher: IEEE Comput. Soc
Date: 2003
Publisher: Springer Science and Business Media LLC
Date: 25-01-2018
Publisher: Springer Science and Business Media LLC
Date: 12-03-2015
Publisher: Springer International Publishing
Date: 2014
Publisher: ACM
Date: 08-05-2006
Publisher: IEEE
Date: 04-2007
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: IGI Global
Date: 2010
Publisher: Springer International Publishing
Date: 03-11-2018
Publisher: Informa UK Limited
Date: 13-10-2017
Publisher: Springer International Publishing
Date: 2016
Publisher: Springer International Publishing
Date: 2016
Publisher: ACM
Date: 05-12-2022
Publisher: Association for Computing Machinery (ACM)
Date: 03-2009
Abstract: The value and the pitfalls of project and group work are well recognized. The principles and elements which apply to projects in general, apply to project-based courses. Thoughtful and detailed planning, understanding of the stakeholders and their needs, a good design, appropriate testing, monitoring and quality control and continual management can maximize the benefits and minimize the negatives. In this article we draw together the literature to consider key design choices of project-based courses considering: type, length, size, management, participants, and content with a particular focus on the composition of groups and the issues surrounding assessment.
Publisher: Springer Berlin Heidelberg
Date: 2006
Publisher: Wiley
Date: 20-12-2022
DOI: 10.1111/BJET.13174
Abstract: Stress has become one of the major reasons for many mental health related issues among students of all age groups, which has resulted in devastating personal losses including suicide. Societal and familial pressure to succeed is high, particularly in developing countries where education is highly valued as a key enabler. As part of stress management during the COVID‐19 pandemic, demand for online intelligent virtual advisors has risen and, consequently, the need for personalised explanation that is culturally sensitive to the user's context is essential to improve the user's understanding of and trust in the recommendations provided by the virtual advisor. This paper presents the mAnaging stRess at University embodied conversational agent (ECA) that has been adapted for Indian university students from an explainable agent that was found to help Western students reduce their stress by providing study tips with explanations based on the student's beliefs and/or goals. We conducted a research study with sixty students which measured the impact of providing three different patterns of tailored explanations (belief‐based, goal‐based, and belief and goal‐based explanation) on the students' intentions to change the recommended behaviours and the relationship built with the ECA. The experimental results indicate that there was stress reduction across all student groups provided with different types of explanations. Further, the students showed trust and a good working alliance with the conversational agent, along with an intention to change behaviour across all types of explanations. However, it was observed that the user context played an important role in behaviour change intention and hence explanations could be tailored further, making them culturally more relevant to Indian students. What is already known about this topic Embodied conversational agents (ECAs) have been mostly developed, applied and shown to be effective in developed countries. Hence, their design and development are mostly guided by the intended user's needs and preferences. In a Western context, ECAs have been found to be beneficial for reducing study stress in university students. There is a pertinent need for use of low cost, effective technology that can aid academic stress reduction in higher educational institutions in developing countries owing to their high youth populations, lack of adequate mental healthcare facilities and associated social stigma. What this paper adds The adaptation and use of ECAs to reduce study stress in higher education students in a developing country is evaluated. The ECA technology is adapted for an Indian context in terms of its physical appearance, colour, speech dialect and dialog content so that it is culturally more aligned to the target population. The ECA engages in an empathic conversation tailored for the Indian students and their COVID‐19 context providing them with explanation‐backed behaviour recommendations that take their beliefs and goals into account. The ECA provides three types of explanation: belief‐only goal‐only and both belief and goal. Results of a study carried out in an Indian university with 61 students, randomly assigned to one of the explanation types, to capture their demographics, study stress statistics, behaviour change intentions and trust/working alliance with the conversational agent. The major findings include stress reduction across all explanation groups, development of a positive relationship between the ECA and the students regardless of its explanation pattern, and changes in behaviour intentions across all types of explanations for all recommended behaviours. However, differences in change intentions for certain behaviours indicate further tailoring of explanations is required based on the user context. Implications for practice and/or policy The ECA technology has shown promise in terms of stress reduction amongst Indian students. Higher Education Institutions in developing countries could utilise low‐cost and widely accessible ECAs to overcome lack of access to human‐based support and reluctance to use available services due to stigmatized attitudes to mental health issues. This technology can be further improved and deployed into a larger number of Indian educational institutions leading to a widespread impact on overall student health and wellbeing. Digital technologies to support mental health have become more prominent during the COVID‐19 pandemic, at least in Western countries. The ECA technology evaluated in our study demonstrates its viability and potential value for use in developing countries, with appropriate tailoring.
Publisher: IEEE
Date: 05-2019
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11961239_2
Publisher: ACM
Date: 27-03-2023
Publisher: Springer International Publishing
Date: 2015
Publisher: Springer International Publishing
Date: 2018
Publisher: Elsevier BV
Date: 04-2001
Publisher: SciTePress - Science and and Technology Publications
Date: 2010
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11961239_10
Publisher: Informa UK Limited
Date: 03-2003
DOI: 10.1080/713827119
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: ACM
Date: 30-09-2013
Publisher: ACM
Date: 30-09-2013
Publisher: IEEE
Date: 03-2008
DOI: 10.1109/ICAS.2008.19
Publisher: Springer Berlin Heidelberg
Date: 2001
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Elsevier BV
Date: 2012
Publisher: JMIR Publications Inc.
Date: 06-04-2022
Abstract: ealthcare and wellbeing are two main interconnected application areas of conversational agents (CAs). There is a significant increase in research, development, and commercial implementations in this area. In parallel to the increasing interest, new challenges in designing and evaluating CAs have emerged. his study aims to identify key design, development, and evaluation challenges of CAs in healthcare and wellbeing research. The focus is on the very recent projects with their emerging challenges. review study was conducted with 17 invited studies, most of which were presented at the ACM CHI2020 conference workshop on CAs for health and wellbeing. Eligibility criteria required the studies to involve a CA applied to a health or wellbeing project in an ongoing or recently finished project. The participating studies were asked to report on their projects' design and evaluation challenges. We used thematic analysis to review the studies. he findings include a range of topics from primary care to caring for older adults to health coaching. We identified four major themes: i) domain information and integration, ii) user-system interaction and partnership, iii) evaluation, and iv) conversational competence. hile some challenges are shared with other CA application areas, safety and privacy remain the major challenges in the healthcare and wellbeing domains. An increased level of collaboration across different institutions and entities may be a promising direction to address some of the major challenges which otherwise would be too complex to be addressed by the projects with their limited scope and budget.
Publisher: Springer International Publishing
Date: 2015
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Wiley
Date: 2008
DOI: 10.1002/KPM.298
Publisher: Elsevier BV
Date: 07-2009
Publisher: World Scientific Pub Co Pte Lt
Date: 06-2003
DOI: 10.1142/S0219649203000073
Abstract: The acquisition and application of knowledge, in particular tacit knowledge (TK), are seen as decisive competitive factors in the knowledge society of the twenty-first century. Despite much talk about the importance of knowledge transfer, little research shows how to identify and measure TK, less research addresses how to transfer TK between in iduals and even fewer of these approaches offer any technology that can assist with transfer. This paper does not address the issues of identification and measurement of TK. The purpose of this paper is two-fold: describe a knowledge acquisition and representation technique, known as Ripple Down Rules (RDR), which can be used to capture knowledge, explicit and tacit, in context from those already identified as experts and to describe a set-theoretical technique, known as formal concept analysis (FCA) to assist transfer of the RDR knowledge to another human. Unlike most knowledge acquisition approaches, the RDR knowledge acquisition technique does not rely on the expert to specify what they know. Instead, knowledge becomes codified by the RDR system while the domain expert exercises his or her expertise. The approach does not capture all organisational knowledge, but the knowledge that is captured will be a mixture of different types of knowledge, including formal and codified knowledge that can be learnt from a book and practice-based knowledge that is passed on while on the job. The knowledge captured using RDR may be transferred to another in idual through the use of FCA to retrospectively and automatically develop knowledge models that the user can explore. This work offers a possible solution to three knowledge management challenges: capture, utilisation and preservation of knowledge within an organisation.
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11961239
Publisher: Springer Science and Business Media LLC
Date: 18-01-2021
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: IEEE
Date: 2009
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer Science and Business Media LLC
Date: 04-2022
DOI: 10.1007/S10458-022-09553-X
Abstract: Virtual advisors (VAs) are being utilised almost in every service nowadays from entertainment to healthcare. To increase the user’s trust in these VAs and encourage the users to follow their advice, they should have the capability of explaining their decisions, particularly, when the decision is vital such as health advice. However, the role of an explainable VA in health behaviour change is understudied. There is evidence that people tend to change their intentions towards health behaviour when the persuasion message is linked to their mental state. Thus, this study explores this link by introducing an explainable VA that provides explanation according to the user’s mental state (beliefs and goals) rather than the agent’s mental state as commonly utilised in explainable agents. It further explores the influence of different explanation patterns that refer to beliefs, goals, or beliefs& goals on the user’s behaviour change. An explainable VA was designed to advise undergraduate students how to manage their study-related stress by motivating them to change certain behaviours. With 91 participants, the VA was evaluated and the results revealed that user-specific explanation could significantly encourage behaviour change intentions and build good user-agent relationship. Small differences were found between the three types of explanation patterns.
Publisher: Elsevier BV
Date: 03-2000
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
Publisher: Elsevier BV
Date: 04-2023
Publisher: Springer Science and Business Media LLC
Date: 02-02-2022
DOI: 10.1007/S10796-021-10223-8
Abstract: Using artificial intelligence (AI) to make decisions in human resource management (HRM) raises questions of how fair employees perceive these decisions to be and whether they experience respectful treatment (i.e., interactional justice). In this experimental survey study with open-ended qualitative questions, we examine decision making in six HRM functions and manipulate the decision maker (AI or human) and decision valence (positive or negative) to determine their impact on in iduals’ experiences of interactional justice, trust, dehumanization, and perceptions of decision-maker role appropriateness. In terms of decision makers, the use of human decision makers over AIs generally resulted in better perceptions of respectful treatment. In terms of decision valence, people experiencing positive over negative decisions generally resulted in better perceptions of respectful treatment. In instances where these cases conflict, on some indicators people preferred positive AI decisions over negative human decisions. Qualitative responses show how people identify justice concerns with both AI and human decision making. We outline implications for theory, practice, and future research.
Publisher: Springer International Publishing
Date: 2020
Publisher: Emerald
Date: 06-04-2012
Publisher: IGI Global
Date: 2006
Abstract: In this paper, we postulate that the problem solving process in many domains involves identifying the class of problem on hand, identifying an appropriate solution, and recognising opportunities for its reuse. We suggest a solution that builds up knowledge of a given domain by recording observations, diagnoses and actions in a “3Cs form” of Cases, Classifications, and Conclusions. Our solution allows knowledge workers in any domain where heuristics are relied on to form classifications, and then apply generalised conclusions on the basis of the given classification, to collaboratively refine and expand a topic by consistently asking users to confirm, add to, or refine the presented knowledge in the context of the current case being classified. Our solution is presented in the context of the corporate call centre and is a significant extension of the Multiple Classification Ripple Down Rules algorithm. We present a 3Cs Logic Wiki that takes the best features of current collaborative knowledge exchange mechanisms, and captures a logic structure on top of that which provides for rapid indexing of acquired knowledge.
Publisher: Springer International Publishing
Date: 2019
Publisher: ACM
Date: 13-11-2017
Publisher: Public Library of Science (PLoS)
Date: 29-11-2022
DOI: 10.1371/JOURNAL.PONE.0272517
Abstract: Behaviour change interventions represent key means for supporting healthy ageing and reducing dementia risk yet brief, scalable behaviour change interventions targeting dementia risk reduction in older adults is currently lacking. Here we describe the aims and design of the three-month Brain Bootc initiative that seeks to target multiple dementia risk and protective factors (healthy eating, physical, social and cognitive inactivity), through the use of multiple behaviour change techniques, including goal-setting for behaviour, information about health consequences and physical prompts to change behaviours that reduce dementia risk among older adults. Our secondary aim is to understand participants’ views of dementia prevention and explore the acceptability and integration of this c aign into daily life. Brain Bootc is a pre-post feasibility trial conducted in Sydney, Australia beginning in January 2021 until late August. Participants aged ≥65 years living independently in the community (n = 252), recruited through social media and flyers, will provide information about their demographics, medical history, alcohol consumption, smoking habits, mental health, physical activity, cognitive activity, and diet to generate a dementia risk profile at baseline and assess change therein at three-month follow-up. During the intervention, participants will receive a resource pack containing their in idual risk profile, educational booklet on dementia risk factors and four physical items designed to prompt physical, social and mental activity, and better nutrition. Outcome measures include change in dementia risk scores, dementia awareness and motivation. A qualitative process evaluation will interview a s le of participants on the acceptability and feasibility of the intervention. This will be the first short-term multi-domain intervention targeting dementia risk reduction in older adults. Findings will generate a new evidence base on how to best support efforts targeting lifestyle changes and to identify ways to optimise acceptability and effectiveness towards brain health for older adults. ACTRN 381046 (registered 17/02/2021) Pre-results.
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Emerald
Date: 09-08-2013
DOI: 10.1108/VINE-10-2011-0031
Abstract: A problem for many organisations today is what is referred to as the “knowing‐doing gap” or the difference between possessing the knowledge and the actual application of it. This paper aims to explore the perception that differences exist with regard to soft or tacit knowledge‐knowing and utilisation in the IT workplace, but at the level of gender and ethnic‐culture specifically. Through a statistical examination of electronic survey results from two ICT organisations in Australia, the study explores the validity of such claims. Continuing from previous grounded theory research, a series of workplace scenarios testing for such knowledge utilisation were created. After trialling the initial scenarios on a pilot population, they were further refined and made part of an online survey questionnaire. Some 119 employees of two Australian ICT organisations rated how they would deal with soft knowledge situations both in principle and in practice. The s le was not selected along gender or cultural lines beforehand however statistical analysis was conducted to determine if differences to situation‐handling existed. The paper provides empirical insights into how genders and cultures deal with soft knowledge situations in different ways. The findings do tend to support certain stereotypes such as females generally appearing more passive, relationship and high context oriented and less in idualistic. Whilst males appeared more achievement‐oriented and in idualistic, Anglo‐males were closer to females for relationship and high context ideals. Due to the limited s le size the research results may lack generalisability. Furthermore criticism of Likert scales also exists, as does the use of language other than English as a representation of ethnic culture. The study adopts a novel use of soft knowledge inventories when applied to the parameters of gender and culture.
Publisher: IGI Global
Date: 2016
DOI: 10.4018/978-1-4666-9522-1.CH004
Abstract: This chapter looks at how gamification of existing technology can be used to incorporate the factors that have been found to improve patient adherence. Lack of adherence to medical advice is a major problem because it reduces the likelihood of improved health outcomes and is a waste of costly and scarce resources. To provide intrinsically motivating game mechanics we discuss the use of an embodied virtual character to build an ongoing therapeutic alliance with the patient. Extrinsically motivating game mechanics are added via a game based on the token economy. The intention is to empower, engage and encourage the patient to adhere with the medical advice. A case study is provided for the condition of paediatric incontinence.
Publisher: ACM
Date: 02-12-2014
Publisher: ACM
Date: 02-12-2014
Publisher: Elsevier BV
Date: 10-2018
Publisher: ACM
Date: 02-12-2014
Publisher: Elsevier
Date: 2021
Publisher: Frontiers Media SA
Date: 03-11-2022
DOI: 10.3389/FPSYG.2022.1039431
Abstract: Despite the challenges associated with virtually mediated communication, remote collaboration is a defining characteristic of online multiplayer gaming communities. Inspired by the teamwork exhibited by players in first-person shooter games, this study investigated the verbal and behavioral coordination of four-player teams playing a cooperative online video game. The game, Desert Herding , involved teams consisting of three ground players and one drone operator tasked to locate, corral, and contain evasive robot agents scattered across a large desert environment. Ground players could move throughout the environment, while the drone operator’s role was akin to that of a “spectator” with a bird’s-eye view, with access to veridical information of the locations of teammates and the to-be-corralled agents. Categorical recurrence quantification analysis (catRQA) was used to measure the communication dynamics of teams as they completed the task. Demands on coordination were manipulated by varying the ground players’ ability to observe the environment with the use of game “fog.” Results show that catRQA was sensitive to changes to task visibility, with reductions in task visibility reorganizing how participants conversed during the game to maintain team situation awareness. The results are discussed in the context of future work that can address how team coordination can be augmented with the inclusion of artificial agents, as synthetic teammates.
Publisher: Elsevier BV
Date: 12-2017
Publisher: ACM
Date: 23-10-2021
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Association for Information Systems
Date: 2020
DOI: 10.17705/1CAIS.04619
Publisher: Australian Journal of Information Systems
Date: 11-2002
Publisher: ACM
Date: 08-11-2022
Publisher: ACM
Date: 18-02-2017
Publisher: ACM
Date: 18-02-2017
Publisher: International Association for Statistical Education
Date: 04-07-2022
Abstract: Work integrated learning (WIL) has been the norm in disciplines such as medicine, teacher education and engineering , however it has not been implemented until recently in statistics and not for every student in computer science education. With the changed focus of universities, making graduates ‘job ready’ the collaboration of university-industry widened to encompass learning and teaching. Undoubtedly authentic problems coming from industry created opportunities for students to practice their future profession before graduation. However, this shift in the curriculum brought its challenges both for the students and their lecturers. In this paper, we will present assessment structures and case studies from statistics and computer science. Our approaches can be adopted or adapted by teachers of statistics and data science.
Publisher: ACM
Date: 18-02-2017
Publisher: IGI Global
Date: 2010
DOI: 10.4018/978-1-61520-597-4.CH009
Abstract: As the importance of creativity and in turn innovation for in iduals, organizations, nations and the global community as a whole becomes recognized, so too does the value of identifying those in iduals with the potential to become entrepreneurs. The nature of creative knowledge is such that it draws typically upon both codified and tacit forms of knowledge, to which end an instrument is presented based on workplace scenarios combined with a number of psychometric tests. With opportunities for innovation afforded by the internet, the identification and development of a new breed of in iduals known as e-entrepreneurs seems particularly worthwhile. Thus in this study we have focused on scenarios within the field of information and communication technology. Results indicate innovators may present multiple personality styles which offer strengths to entrepreneurial activities. Finally through identification of creative personnel our approach offers a way for organizations to cultivate promising entrepreneurs.
Publisher: MDPI AG
Date: 27-06-2022
DOI: 10.3390/MTI6070051
Abstract: The use of intelligent virtual agents (IVA) to support humans in social contexts will depend on their social acceptability. Acceptance will be related to the human’s perception of the IVAs as well as the IVAs’ ability to respond and adapt their conversation appropriately to the human. Adaptation implies computer-generated speech (synthetic speech), such as text-to-speech (TTS). In this paper, we present the results of a study to investigate the effect of voice type (human voice vs. synthetic voice) on two aspects: (1) the IVA’s likeability and voice impression in the light of co-presence, and (2) the interaction outcome, including human–agent trust and behavior change intention. The experiment included 118 participants who interacted with either the virtual advisor with TTS or the virtual advisor with human voice to gain tips for reducing their study stress. Participants in this study found the voice of the virtual advisor with TTS to be more eerie, but they rated both agents, with recorded voice and with TTS, similarly in terms of likeability. They further showed a similar attitude towards both agents in terms of co-presence and building trust. These results challenge previous studies that favor human voice over TTS, and suggest that even if human voice is preferred, TTS can deliver equivalent benefits.
Publisher: WORLD SCIENTIFIC
Date: 12-2004
Publisher: ACM
Date: 07-2019
Publisher: ACM
Date: 17-12-2009
Publisher: IEEE Comput. Soc
Date: 2002
Publisher: Springer Science and Business Media LLC
Date: 31-10-2015
Publisher: MDPI AG
Date: 02-10-2023
DOI: 10.3390/MTI7100093
Publisher: IEEE
Date: 10-2016
DOI: 10.1109/DSAA.2016.82
Publisher: SAGE Publications
Date: 22-08-2017
Abstract: As a strategy for the identification and treatment of in iduals with anorexia nervosa (AN), we sought to reduce stigmatising attitudes concerning AN among members of their potential social network. Three forms of stigma were focused upon: traditional, positive volitional and negative volitional. Stigmatising attitudes were captured at baseline, and after the first and second interventions. Male and female undergraduates at a university in Australia. In all, 122 undergraduate students were randomly allocated into two groups where via videos one group received information about AN from a medical professional (education) followed by a person who has recovered from AN presenting her experiences (contact). The second group received a contact then education intervention. Repeated measures ANOVA showed that participants’ volitional stigma was lesser than at baseline following the presentation of the first intervention for both education and contact. However, levels of traditional stigma did not significantly differ. Contact was more effective in reducing positive volitional stigma than education for men, but both were equally effective for women. Study findings provides support for the value of using video-based interventions to change attitudes to stigmatised conditions and demonstrated that education and contact intervention strategies were effective in reducing stigmatising attitudes towards AN in university students.
Publisher: Wiley
Date: 22-07-2019
DOI: 10.1111/BJET.12863
Publisher: European Alliance for Innovation n.o.
Date: 18-06-2018
Publisher: Springer International Publishing
Date: 2014
Publisher: Emerald
Date: 20-10-2022
Abstract: To protect information and communication technology (ICT) infrastructure and resources against poor cyber hygiene behaviours, organisations commonly require internal users to confirm they will abide by an ICT Code of Conduct. Before commencing enrolment, university students sign ICT policies, however, in iduals can ignore or act contrary to these policies. This study aims to evaluate whether students can apply ICT Codes of Conduct and explores viable approaches for ensuring that students understand how to act ethically and in accordance with such codes. The authors designed a between-subjects experiment involving 260 students’ responses to five scenario-pairs that involve breach/non-breach of a university’s ICT policy following a priming intervention to heighten awareness of ICT policy or relevant ethical principles, with a control group receiving no priming. This study found a significant difference in students’ responses to the breach versus non-breach cases, indicating their ability to apply the ICT Code of Conduct. Qualitative comments revealed the priming materials influenced their reasoning. The authors’ priming interventions were inadequate for improving breach recognition compared to the control group. More nuanced and targeted priming interventions are suggested for future studies. Appropriate application of ICT Code of Conduct can be measured by collecting student/employee responses to breach/non-breach scenario pairs based on the Code and embedded with ethical principles. Shared awareness and protection of ICT resources. Compliance with ICT Codes of Conduct by students is under-investigated. This study shows that code-based scenarios can measure understanding and suggest that targeted priming might offer a non-resource intensive training approach.
Publisher: Springer International Publishing
Date: 2014
Publisher: Springer Berlin Heidelberg
Date: 2004
DOI: 10.1007/B103295
Publisher: IEEE
Date: 05-2015
Publisher: IEEE
Date: 10-2017
Publisher: IEEE
Date: 10-2018
Publisher: Elsevier BV
Date: 08-2017
Publisher: IEEE
Date: 2011
Publisher: Springer Science and Business Media LLC
Date: 07-2004
Publisher: Cambridge University Press (CUP)
Date: 06-2010
DOI: 10.1017/S0269888910000044
Abstract: Applying intelligent agent technologies to support human learning activities has been the subject of recent work that reaches across computer science and education disciplines. This article discusses agent-based approaches that have been designed to address a range of pedagogical and/or curricular tasks. Three types of agents are identified in the literature: pedagogical agents , peer-learning agents , and demonstrating agents . Features of each type are considered, as well as the systems in which these agents are incorporated, examining common and ergent goals, system and agent architectures, and evaluation methodologies. Open issues are highlighted, and future directions for this burgeoning interdisciplinary field are suggested.
Publisher: Informa UK Limited
Date: 09-2016
Publisher: IEEE Comput. Soc
Date: 2002
Publisher: Springer International Publishing
Date: 2018
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Springer International Publishing
Date: 2018
Publisher: Elsevier BV
Date: 04-1999
Publisher: SCITEPRESS - Science and and Technology Publications
Date: 2015
Publisher: Emerald
Date: 11-05-2021
Abstract: To address the key problem of lack of use in the advancement of open government data (OGD) portals from the aspect of good usability, which is an essential prerequisite to the acceptance and usage of a portal, this paper aims to develop a usability framework including design principles and criteria for OGD portals and to discover problems in the present usability design. This study builds the usability framework by extending usability principles for general websites to address the specific needs of OGD portals. Criteria for each principle are developed accordingly based on the literature. A comparative heuristic evaluation involving five expert evaluators and 13 Chinese province-level OGD portals has been carried out to test the capability of the usability framework. A usability framework with 24 principles and 63 criteria has been built. The heuristic evaluation shows OGD portals performed better in meeting general principles than the OGD portals specific ones. Insufficient help functions weakened OGD portals' usability. Similarities and differences were found of Chinese OGD portals compared with similar studies in the United States. This paper proposed a usability framework for OGD portals and proved its capability in recognizing usability problems and its causes by carrying out a comparative heuristic evaluation in China. By comparing the evaluation results with other studies in the United States, the findings and lessons learnt in this study can thus be shared across international borders.
Publisher: ACM
Date: 19-10-2020
Publisher: ACM
Date: 21-07-2012
Publisher: IGI Global
Date: 2013
DOI: 10.4018/978-1-4666-4078-8.CH009
Abstract: Attention to the legal and ethical principles of governance of seaport authorities (PAs) can enhance the future possibility of sustainable development of a port. This chapter presents a customised dataset and accompanying descriptions compiled from multiple sources and repositories that can be mined to provide adequate understanding over key decisional variables to assist the implementation of three Port State Control (PSC) mechanisms. Considerable care is given to the selection and combination of variables which may identify potentially serious accidents and the port’s legal and ethical liabilities. The authors seek to clarify the relationship between the Corporate Social Responsibility (CSR) of PAs and, what is possibly the most important issue facing PAs nowadays, the issue of security. In order to validate the relationship between PSC and CSR, the authors suggest the use of the Regression Approach in Time Series Analysis (RATS) method that offers an assessment of mutual impacts of the PSC variables and a forecast of future values of CSR. RATS would enable PAs to be aware of the CSR challenges occurring among partner ports at least one time-step ahead. This may represent an important advance in using decision support systems to assist managers in performing complex analyses and making strategic choices.
Publisher: ACM
Date: 21-07-2012
Publisher: Springer International Publishing
Date: 2014
Publisher: ACM
Date: 05-01-2020
Publisher: Springer International Publishing
Date: 2014
Publisher: Springer International Publishing
Date: 2019
Publisher: Springer Berlin Heidelberg
Date: 2003
Publisher: Elsevier BV
Date: 05-2014
Publisher: Emerald Publishing Limited
Date: 15-07-2022
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: IEEE
Date: 05-2021
Publisher: ACM
Date: 21-07-2012
Publisher: Elsevier BV
Date: 10-2020
Publisher: ACM
Date: 21-07-2012
Publisher: Australian Journal of Information Systems
Date: 22-11-2015
Abstract: In line with a patient-centred model of healthcare, Mobile Health applications (mhealth apps) provide convenient and equitable access to health and well-being resources and programs that can enable consumers to monitor their health related problems, understand specific medical conditions and attain personal fitness goals. This increase in access and control comes with an increase in risk and responsibility to identify and manage the associated risks, such as the privacy and security of consumers’ personal and health information. Based on a review of the literature, this paper identifies a set of risk and safety features for evaluating mHealth apps and uses those features to conduct a comparative analysis of the 20 most popular mHealth apps. The comparative analysis reveals that current mHealth apps do pose a risk to consumers. To address the safety and privacy concerns, recommendations to consumers and app developers are offered together with consideration of mHealth app future trends.
Publisher: Cambridge University Press (CUP)
Date: 06-2009
DOI: 10.1017/S0269888909000241
Abstract: Ripple Down Rules (RDR) were developed in answer to the problem of maintaining medium to large rule-based knowledge systems. Traditional approaches to knowledge-based systems gave little thought to maintenance as it was expected that extensive upfront domain analysis involving a highly trained specialist, the knowledge engineer, and the time-poor domain expert would produce a complete model capturing what was in the expert’s head. The ever-changing, contextual and embrained nature of knowledge were not a part of the philosophy upon which they were based. RDR was a paradigm shift, which made knowledge acquisition and maintenance one and the same thing by incrementally acquiring knowledge as domain experts directly interacted with naturally occurring cases in their domain. Cases played an integral part of the acquisition process by motivating the capture of new knowledge, framing the context in which new knowledge would apply and ensuring that previously correctly classified cases remained so by requiring that the classification of the new case distinguish it from the system’s classification and be justified by features of the new case. RDR has moved beyond its first representation which handled single classification tasks within the domain of pathology to support multiple conclusions across a wide range of domains such as help-desk support, email classification and RoboCup and problem types including configuration, simulation, planning and natural language processing. This paper reviews the history of RDR research over the past two decades with a view to its future.
Publisher: Emerald
Date: 24-05-2023
Abstract: Cybersecurity vulnerabilities are often due to human users acting according to their own ethical priorities. With the goal of providing tailored training to cybersecurity professionals, the authors conducted a study to uncover profiles of human factors that influence which ethical principles are valued highest following exposure to ethical dilemmas presented in a cybersecurity game. The authors’ game first sensitises players (cybersecurity trainees) to five cybersecurity ethical principles (beneficence, non-maleficence, justice, autonomy and explicability) and then allows the player to explore their application in multiple cybersecurity scenarios. After playing the game, players rank the five ethical principles in terms of importance. A total of 250 first-year cybersecurity students played the game. To develop profiles, the authors collected players' demographics, knowledge about ethics, personality, moral stance and values. The authors built models to predict the importance of each of the five ethical principles. The analyses show that, generally, the main driver influencing the priority given to specific ethical principles is cultural background, followed by the personality traits of extraversion and conscientiousness. The importance of the ingroup was also a prominent factor. Cybersecurity professionals need to understand the impact of users' ethical choices. To provide ethics training, the profiles uncovered will be used to build artificially intelligent (AI) non-player characters (NPCs) to expose the player to multiple viewpoints. The NPCs will adapt their training according to the predicted players’ viewpoint.
Publisher: IGI Global
Date: 2015
DOI: 10.4018/978-1-4666-6433-3.CH113
Abstract: Attention to the legal and ethical principles of governance of seaport authorities (PAs) can enhance the future possibility of sustainable development of a port. This chapter presents a customised dataset and accompanying descriptions compiled from multiple sources and repositories that can be mined to provide adequate understanding over key decisional variables to assist the implementation of three Port State Control (PSC) mechanisms. Considerable care is given to the selection and combination of variables which may identify potentially serious accidents and the port's legal and ethical liabilities. The authors seek to clarify the relationship between the Corporate Social Responsibility (CSR) of PAs and, what is possibly the most important issue facing PAs nowadays, the issue of security. In order to validate the relationship between PSC and CSR, the authors suggest the use of the Regression Approach in Time Series Analysis (RATS) method that offers an assessment of mutual impacts of the PSC variables and a forecast of future values of CSR. RATS would enable PAs to be aware of the CSR challenges occurring among partner ports at least one time-step ahead. This may represent an important advance in using decision support systems to assist managers in performing complex analyses and making strategic choices.
Publisher: Informa UK Limited
Date: 09-2008
Publisher: Elsevier BV
Date: 10-2021
Publisher: Springer International Publishing
Date: 2018
Publisher: IEEE
Date: 2004
Publisher: ACM
Date: 07-2019
Publisher: IEEE Comput. Soc
Date: 2003
Publisher: IEEE
Date: 10-2016
Publisher: ACM
Date: 21-07-2012
Publisher: ACM
Date: 30-01-2023
Publisher: IEEE
Date: 05-2019
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: Springer International Publishing
Date: 2018
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: SAGE Publications
Date: 03-02-2023
DOI: 10.1177/01655515221151140
Abstract: Insufficient support services are one of the barriers for citizen’s open government data (OGD) utilisation. Considering the strengths and effectiveness of virtual assistants (VAs) in providing instant and user-friendly support services, this study focuses primarily on its implementation for OGD portals. A conversational VA prototype is specifically developed. A between-subjects experiment with one factor (VA/text-based support services) was carried out. Results show citizens’ positive attitudes towards VAs providing support services on OGD portals. No significant difference was found for citizens’ acceptance, trustworthiness and rapport for OGD portals with and without a VA. Accuracy rate of completing tasks with VAs is slightly higher. A correlation lies between trustworthiness and rapport with OGD portals. This study benefits the improvement of OGD portals’ online services to enhance citizens’ experiences and provides a research model both for investigating VAs’ effects and for comparing different designs of a same kind of service for an interface.
Publisher: Elsevier BV
Date: 08-2022
Publisher: ACM
Date: 25-07-2005
Publisher: ACM
Date: 05-11-2018
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: Informa UK Limited
Date: 11-11-2016
Publisher: Elsevier BV
Date: 03-2021
Publisher: Informa UK Limited
Date: 08-2007
Publisher: MDPI AG
Date: 17-08-2020
DOI: 10.3390/MTI4030055
Abstract: Virtual agents that improve the lives of humans need to be more than user-aware and adaptive to the user’s current state and behavior. Additionally, they need to apply expertise gained from experience that drives their adaptive behavior based on deep understanding of the user’s features (such as gender, culture, personality, and psychological state). Our work has involved extension of FAtiMA (Fearnot AffecTive Mind Architecture) with the addition of an Adaptive Engine to the FAtiMA cognitive agent architecture. We use machine learning to acquire the agent’s expertise by capturing a collection of user profiles into a user model and development of agent expertise based on the user model. In this paper, we describe a study to evaluate the Adaptive Engine, which compares the benefit (i.e., reduced stress, increased rapport) of tailoring dialogue to the specific user (Adaptive group) with dialogues that are either empathic (Empathic group) or neutral (Neutral group). Results showed a significant reduction in stress in the empathic and neutral groups, but not the adaptive group. Analyses of rule accuracy, participants’ dialogue preferences, and in idual differences reveal that the three groups had different needs for empathic dialogue and highlight the importance and challenges of getting the tailoring right.
Publisher: IGI Global
Date: 2010
DOI: 10.4018/978-1-60566-687-7.CH005
Abstract: Collaboration is fundamental to the goals and success of knowledge management (KM) initiatives aimed at supporting decision making and problem solving. Yet many KM approaches and systems do not provide explicit mechanisms which allow knowledge to be collaboratively built up, validated and reconciled so that the more general goals of knowledge sharing and reuse can be achieved. In domains such as the call center, problems and solutions need to be created, retrieved, reworked and reused by multiple in iduals and typically involves the use of multiple knowledge management tools, knowledge scattered across disparate sources and implicit “know-how”. Acquiring, accessing, maintaining, sharing, reconciling and reusing knowledge in its various forms are particular challenges in the call center domain where the knowledge needed is complex and constantly changing made worse by short-term knowledge workers. The approach suggested allows knowledge, in the form of rules, to be incrementally acquired as the problem arises, in the form of cases, as part of the daily routine. Using the approach, knowledge workers are able to collaboratively and incrementally capture and maintain the heuristics they use daily for trouble-shooting. Further the system is designed to integrate to a wide variety of information and knowledge sources including legacy systems, recognizing the investment and value of such sources and minimizing the need to duplicate existing resources. This paper reports experiences and issues with knowledge management systems in the call center environment. A case study conducted during 2003-2006 is presented which describes how users found the incumbent systems and a prototype knowledge management system embodying the above approach.
Publisher: Informa UK Limited
Date: 12-12-2021
Publisher: Wiley
Date: 26-11-2015
DOI: 10.1111/JPC.13023
Abstract: This paper reviews the literature on the impact of social media on the health of children and young people. Relevant papers were identified from Medline, Embase and PsycINFO databases. The studies identified that the health impact of social media on children and young people was greatest on mental health and specifically in the areas of self-esteem and well-being, with related issues around cyberbullying and 'Facebook Depression', with an association between the use of social media and self-esteem and body image. However, it is difficult to determine the cause and effect, which is likely to be related to the nature of the young person. There is little work on the impact of social media on younger children. More research is needed to identify those most at risk of harm from social media and risk mitigation strategies to assist health-care professionals to provide essential education for parents and young people.
Start Date: 2002
End Date: 06-2004
Amount: $50,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2012
End Date: 12-2014
Amount: $90,338.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2005
End Date: 03-2010
Amount: $363,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2003
End Date: 07-2005
Amount: $51,066.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2020
End Date: 12-2024
Amount: $375,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 01-2010
End Date: 09-2014
Amount: $350,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 01-2015
End Date: 06-2021
Amount: $666,000.00
Funder: Australian Research Council
View Funded Activity