ORCID Profile
0000-0002-9406-2645
Current Organisation
Queensland University of Technology
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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.
Computer-Human Interaction | Design Practice and Management | Design Innovation | Artificial Intelligence and Image Processing | Design Innovation | Information Systems | Health Promotion | Computer Vision | Computer-Human Interaction
Expanding Knowledge in Technology | The aged | Child Health | Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in Built Environment and Design | Other |
Publisher: Springer International Publishing
Date: 2020
Publisher: Association for Computing Machinery (ACM)
Date: 08-10-2021
DOI: 10.1145/3472291
Abstract: Active learning (AL) attempts to maximize a model’s performance gain while annotating the fewest s les possible. Deep learning (DL) is greedy for data and requires a large amount of data supply to optimize a massive number of parameters if the model is to learn how to extract high-quality features. In recent years, due to the rapid development of internet technology, we have entered an era of information abundance characterized by massive amounts of available data. As a result, DL has attracted significant attention from researchers and has been rapidly developed. Compared with DL, however, researchers have a relatively low interest in AL. This is mainly because before the rise of DL, traditional machine learning requires relatively few labeled s les, meaning that early AL is rarely according the value it deserves. Although DL has made breakthroughs in various fields, most of this success is due to a large number of publicly available annotated datasets. However, the acquisition of a large number of high-quality annotated datasets consumes a lot of manpower, making it unfeasible in fields that require high levels of expertise (such as speech recognition, information extraction, medical images, etc.). Therefore, AL is gradually coming to receive the attention it is due. It is therefore natural to investigate whether AL can be used to reduce the cost of s le annotation while retaining the powerful learning capabilities of DL. As a result of such investigations, deep active learning (DeepAL) has emerged. Although research on this topic is quite abundant, there has not yet been a comprehensive survey of DeepAL-related works accordingly, this article aims to fill this gap. We provide a formal classification method for the existing work, along with a comprehensive and systematic overview. In addition, we also analyze and summarize the development of DeepAL from an application perspective. Finally, we discuss the confusion and problems associated with DeepAL and provide some possible development directions.
Publisher: Springer Nature Singapore
Date: 2022
Publisher: Springer International Publishing
Date: 2020
Publisher: Emerald
Date: 10-05-2019
Abstract: Assessing airport service performance requires understanding of all passenger processing and discretionary activities at airport passenger terminals – a need that has not yet been addressed in the research to date. This paper aims to address this shortcoming in evaluating overall airport service based on passenger experience from departure to arrival. Comparative analysis over 40 airport models, including their indicators and configuration of service measures, was undertaken in a previous work to identify key-design requirements in assessing airport service performance based on passenger experience (Wiredja et al., 2015). Based on these requirements, this paper constitutes the development of a passenger-centred model covering all service areas from departure to arrival terminals. The newly developed model is then examined using factor and regression analyses by involving 215 airline passengers from 22 world’s international airports. Overall service performance is understood as a function of combined sub-performances of two groups of airport domains: processing domains and non-processing domains. The overall result demonstrated that the two sets of service factors and their relevant attributes had significant impact on overall service performance at processing and non-processing domains. The proposed model applies a set of dynamic performance measures that provide flexibility. These measures are adjustable depending on the needs. Adding or replacing measures defines the specificity of the domains and performances assessed. The model components can be modified in respective service attributes when passenger needs or priorities change. The only constant component is user-centred indicators (in this research, Passenger-centred indicators). This research has generated new insights and knowledge that directly contribute to the assessment of airport service performance. The novelty of this research is the development of a passenger-centred approach in evaluating overall airport service based on passenger experience. This passenger-driven model provides a more integrated and robust approach in this field than previously available.
Publisher: ACM
Date: 22-11-2010
Publisher: JMIR Publications Inc.
Date: 22-09-2020
DOI: 10.2196/15307
Abstract: Interest in mobile health (mHealth) has increased recently, and research suggests that mHealth devices can enhance end-user engagement, especially when used in conjunction with brief message content. This research aims to explore the stages of engagement framework for mHealth devices and develop a method to generate brief message content to promote sustained user engagement. This study uses the framework by O’Brien and Toms as a point of departure, where engagement is defined as the uptake or the use of an mHealth device. The framework is a linear repeatable process, including point of engagement, period of engagement, disengagement, and re-engagement. Each stage is characterized by attributes related to a person’s technology experience. Although the literature has identified stages of engagement for health-related technology, few studies explore mHealth engagement. Furthermore, little research has determined a method for creating brief message content at each stage in this engagement journey. Interviews and observations from 19 participants who used mHealth technologies (apps, devices, or wellness websites) in a solo capacity were recruited for s le group 1. In s le group 2, interviews, and observations from 25 participants using mHealth technologies in a group capacity through the Global Corporate Challenge were used. These s les were investigated at 3 time points in both research contexts. The results underwent deductive-inductive thematic analysis for the engagement stages’ framework and attributes. In addition to the 4 stages identified by O’Brien and Toms, 2 additional stages, self-management and limited engagement, were identified. Self-management captures where users had disengaged from their technology but were still engaged with their health activity. Limited engagement captures where group mHealth users had minimal interaction with their mHealth technology but continued to engage in a group fitness activity. The results revealed that mHealth engagement stages were nonlinear and embedded in a wider engagement context and that each stage was characterized by a combination of 49 attributes that could be organized into 8 themes. Themes documented the total user experience and included technology usability, technology features, technology aesthetics, use motivations, health awareness, goal setting, social support, and interruptions. Different themes were found to have more relevance at different engagement stages. Knowing themes and attributes at all engagement stages allows technology developers and health care professionals to generate relevant brief message content informed by a person-centered approach. This research extends an existing engagement stages framework and identifies attributes and themes relevant to mHealth technology users’ total user experience and incorporates concepts derived from health, business studies, and information systems literature. In addition, we offer a practical 5-step process based on a person-centered approach to develop mHealth technology brief message content for sustained engagement.
Publisher: Elsevier BV
Date: 07-2019
Publisher: ACM
Date: 19-10-2014
Publisher: ACM
Date: 30-11-2021
Publisher: Elsevier BV
Date: 06-2023
Publisher: ACM
Date: 29-11-2022
Publisher: ACM
Date: 22-11-2010
Publisher: Elsevier BV
Date: 10-2021
Publisher: Elsevier BV
Date: 05-2020
Publisher: Oxford University Press (OUP)
Date: 20-06-2023
DOI: 10.1093/NOP/NPAD032
Abstract: Inadequate knowledge and skills and a lack of confidence to provide care have been identified as major unmet needs for carers of people with brain cancer. An online intervention was developed to address the unmet needs of carers of people with high-grade glioma. Ten carers evaluated the intervention through multiple methods. Acceptability and usability were measured through online data analytics (unique page views, time on page), surveys, and interviews. Questionnaires measured potential impacts on distress (Distress Thermometer), depression, anxiety (Hospital Anxiety and Depression Scale), carer competence (Carer Competence Scale), carer preparedness (Caregiving Preparedness Scale), unmet needs (Supportive Care Needs Scale – Brain Tumor Specific for carers), usability and acceptability (USE). Results suggested the intervention had high levels of usability (usability scales’ means range = 5.1 to 6.7 out of 7) and acceptability (M = 76.3/100). Correlations indicated the potential to impact depression. Qualitative findings highlighted benefits of the intervention as a comprehensive reliable resource that could validate and normalize carer experiences. Interview findings guided further improvements (eg, additional carer videos, content organization). The study indicated high acceptability and usability of an online intervention for carers of people with high-grade glioma. This exploratory study also provided preliminary indications of a potential to decrease depression. However, a more robust, potentially longitudinal, investigation is needed with a larger and broader s le. Informed by this study, the intervention has been amended and a randomized controlled trial will further evaluate the enhanced intervention.
Publisher: Design Research Society
Date: 10-09-2020
Publisher: ACM
Date: 21-07-2012
Publisher: ACM
Date: 29-11-2022
Publisher: Elsevier BV
Date: 11-2003
Publisher: Springer Nature Singapore
Date: 2022
Publisher: Oxford University Press (OUP)
Date: 13-04-2015
DOI: 10.1093/IWC/IWV011
Publisher: JMIR Publications Inc.
Date: 07-07-2019
Abstract: nterest in mobile health (mHealth) has increased recently, and research suggests that mHealth devices can enhance end-user engagement, especially when used in conjunction with brief message content. his research aims to explore the i stages of engagement /i framework for mHealth devices and develop a method to generate brief message content to promote sustained user engagement. This study uses the framework by O’Brien and Toms as a point of departure, where engagement is defined as the uptake or the use of an mHealth device. The framework is a linear repeatable process, including i oint of engagement /i , i eriod of engagement /i , i disengagement /i , and i re-engagement /i . Each stage is characterized by attributes related to a person’s technology experience. Although the literature has identified stages of engagement for health-related technology, few studies explore mHealth engagement. Furthermore, little research has determined a method for creating brief message content at each stage in this engagement journey. nterviews and observations from 19 participants who used mHealth technologies (apps, devices, or wellness websites) in a solo capacity were recruited for s le group 1. In s le group 2, interviews, and observations from 25 participants using mHealth technologies in a group capacity through the Global Corporate Challenge were used. These s les were investigated at 3 time points in both research contexts. The results underwent deductive-inductive thematic analysis for the engagement stages’ framework and attributes. n addition to the 4 stages identified by O’Brien and Toms, 2 additional stages, self-management and limited engagement, were identified. i Self-management /i captures where users had disengaged from their technology but were still engaged with their health activity. i Limited engagement /i captures where group mHealth users had minimal interaction with their mHealth technology but continued to engage in a group fitness activity. The results revealed that mHealth engagement stages were nonlinear and embedded in a wider engagement context and that each stage was characterized by a combination of 49 attributes that could be organized into 8 themes. Themes documented the total user experience and included technology usability, technology features, technology aesthetics, use motivations, health awareness, goal setting, social support, and interruptions. Different themes were found to have more relevance at different engagement stages. Knowing themes and attributes at all engagement stages allows technology developers and health care professionals to generate relevant brief message content informed by a person-centered approach. his research extends an existing engagement stages framework and identifies attributes and themes relevant to mHealth technology users’ total user experience and incorporates concepts derived from health, business studies, and information systems literature. In addition, we offer a practical 5-step process based on a person-centered approach to develop mHealth technology brief message content for sustained engagement.
Publisher: Elsevier BV
Date: 2019
DOI: 10.1016/J.APERGO.2018.08.016
Abstract: Research has shown that older adults interact with products less intuitively than younger adults, and that familiarity is an essential element of intuitive interaction. This paper reports on the findings of two empirical studies that examined familiarity in younger and older adults. Each study comprised 32 participants over four age groups. The first study required participants to use their own contemporary products in their homes in order to investigate older adults' familiarity with them, and how this familiarity differed from that of younger adults. Older people were less familiar with their own contemporary products that younger people. The second study aimed to investigate differences in familiarity between younger and older adults while using products that they did not own and were likely to be less familiar with. When using products not already familiar to them, both middle aged and older adults showed significantly lower familiarity than younger people. The significance of this research is in its empirical findings about familiarity differences between age groups. It has been recognised that the identification and understanding of differences in familiarity will enable designers to design more intuitive interfaces and systems for both younger and older cohorts. The implications of the findings from the two studies reported here are discussed in light of this recognition.
Publisher: Design Research Society
Date: 25-06-2016
Publisher: Elsevier BV
Date: 03-2019
Publisher: Oxford University Press (OUP)
Date: 11-03-2021
DOI: 10.1093/JEE/TOAB023
Abstract: Hive design and apicultural processes have not been fundamentally changed since the design and commercialization of the Langstroth moveable frame hive in 1854. Colonies of Apis mellifera Linnaeus (Hymentoptera: Apidae) (the honey bee) maintain a brood nest temperature within the narrow range of 34.5–35.5°C, critical for brood development. Apis mellifera invest considerable energy to maintain hive homeostasis through behavioral modification of the hive environment. Human honey-harvesting processes and removal of the honey-filled comb (a source of thermal mass) have a detrimental impact on hive temperature that requires an increased investment of energy to rectify. This additional energy demand on the bees is a form of stress to the colony and erts workers away from other essential tasks to that of environmental management. We investigated the thermal energy loss resulting from the removal and extraction of honey, the rate of thermal loss of an Australian standard Langstroth 10 frame hive, and the effect of honey and wax as a thermal mass in unoccupied bee hive. The results demonstrate that considerable energy expenditure would be required to rectify the hive thermal environment after honey harvesting or honeycomb frame addition. Honey provides thermal mass in the beehive, acting as a thermal buffer to external temperature change, which may mediate part of the thermal losses from the simplistic design of the Langstroth hive. Identification of these impacts in current apicultural practice and hive design allows for the improvement in the design of beehives and associated practices. These improvements may reduce stress to the bee colony, increasing colony efficiency for pollination and nectar foraging.
Publisher: Oxford University Press (OUP)
Date: 06-05-2022
DOI: 10.1093/JEE/TOAC034
Abstract: Strength auditing of European honey bee (Apis mellifera Linnaeus, 1758 [Hymenoptera: Apidae]) colonies is critical for apiarists to manage colony health and meet pollination contracts conditions. Colony strength assessments used during pollination servicing in Australia typically use a frame-top cluster-count (Number of Frames) inspection. Sensing technology has potential to improve auditing processes, and commercial temperature sensors are widely available. We evaluate the use and placement of temperature sensing technology in colony strength assessment and identify key parameters linking temperature to colony strength. Custom-built temperature sensors measured hive temperature across the top of hive brood boxes. A linear mixed-effect model including harmonic sine and cosine curves representing diurnal temperature fluctuations in hives was used to compare Number of Frames with temperature sensor data. There was a significant effect of presence of bees on hive temperature and range: hives without bees recorded a 5.5°C lower mean temperature and greater temperature ranges than hives containing live bees. Hives without bees reach peak temperature earlier than hives with bees, regardless of colony strength. Sensor placement across the width of the hive was identified as an important factor when linking sensor data with colony strength. Data from sensors nearest to the hive geometric center were found to be more closely linked to colony strength. Furthermore, a one unit increase in Number of Frames was significantly associated with a mean temperature increase of 0.36°C. This demonstrates that statistical models that account for diurnal temperature patterns could be used to predict colony strength from temperature sensor data.
Publisher: SAGE Publications
Date: 26-09-2020
Abstract: This research investigates security screeners' knowledge and the effect that differences in knowledge have on the performance of problem-solving activities. We argue that the development of problem-solving knowledge enables security screeners to perform effective problem-solving activity, which assists search and decision-making processes. Airport security screening research has investigated the many variables that affect security screeners' search and decision making during simulated threat-detection tasks. Although search and decision making are essential aspects of security screening, few studies have investigated the problem-solving knowledge and activities that support security screening task performance. Sixteen more-experienced and 24 less-experienced security screeners were observed as they performed x-ray screening in the field at an Australian international airport's departure security checkpoint. Participants wore eye-tracking glasses and delivered concurrent verbal protocol. When interacting with other security screeners, more-experienced screeners demonstrated situational knowledge more than less-experienced screeners, whereas less-experienced screeners experienced more insufficient knowledge. Lag-sequential analysis using combined data from both screener groups showed that situational knowledge facilitated effective problem-solving activity to support search and decision making. Insufficient knowledge led screeners to seek assistance and defer decision making. This study expands current understandings of airport security screening. It demonstrates that security screeners develop knowledge that is specific to problem solving. This knowledge assists effective problem-solving activity to support search and decision making, and to mitigate uncertainty during the x-ray screening task. Findings can inform future security screening processes, screener training, and technology support tools. Furthermore, findings are potentially transferable to other domains.
Publisher: Oxford University Press (OUP)
Date: 28-07-2014
DOI: 10.1093/IWC/IWU023
Publisher: Oxford University Press (OUP)
Date: 12-09-2018
DOI: 10.1093/IWC/IWY021
Publisher: ACM
Date: 02-11-2020
Publisher: Springer International Publishing
Date: 2021
Publisher: Design Research Society
Date: 16-06-2022
Publisher: Elsevier BV
Date: 2010
DOI: 10.1016/J.APERGO.2009.04.010
Abstract: This paper examines the role of intuition in the way that people operate unfamiliar devices. Intuition is a type of cognitive processing that is often non-conscious and utilises stored experiential knowledge. Intuitive interaction involves the use of knowledge gained from other products and/or experiences. Two initial experimental studies revealed that prior exposure to products employing similar features helped participants to complete set tasks more quickly and intuitively, and that familiar features were intuitively used more often than unfamiliar ones. A third experiment confirmed that performance is affected by a person's level of familiarity with similar technologies, and also revealed that appearance (shape, size and labelling of features) seems to be the variable that most affects time spent on a task and intuitive uses during that time. Age also seems to have an effect. These results and their implications are discussed.
Publisher: CRC Press
Date: 25-02-2021
Publisher: ACM
Date: 29-11-2022
Publisher: Informa UK Limited
Date: 12-03-0044
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Elsevier BV
Date: 2021
Publisher: Elsevier BV
Date: 09-2019
Publisher: Springer International Publishing
Date: 2018
Publisher: SAGE Publications
Date: 2018
Abstract: This research was intended to provide a greater understanding of the context and needs of aged care seating, specifically: To conduct an audit of typical chairs used in aged care facilities To collect data about resident and staff experiences and behaviour around chairs in order to gain a deeper understanding of the exact issues that residents and staff have with the chairs they use at aged care facilities To identify positive and negative issues influencing use of chairs in aged care facilities To deliver evidence-based recommendations for the design of chairs for aged care facilities. Methods included a chair dimension audit, interviews with residents, experts and carers and observations of aged care residents getting into chairs, sitting in them and getting out. Results showed that residents, experts and carers all prefer chairs which are above the recommended height for older people so that they will be able to get out of them more easily. Armrests were essential for ease of entry and egress. However, many residents struggled with chairs which were also too deep in the seat pan so that they could not easily touch the floor or sit comfortably and were forced to slump. Most residents used cushions and pillows to relieve discomfort where possible. The implications of these issues for chair design and selection are discussed. Variable height chairs, a range of chairs of different heights in each space and footrests could all address the height problem. Chair designers need to address the seat depth problem by reducing depth in most aged care specific chairs, even when they are higher. Armrests must be provided but could be made easier to grip. Addressing these issues would increase access to comfortable yet easy-to-use chairs for a wider range of the aged care population.
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2016
End Date: 2020
Funder: European Commission
View Funded ActivityStart Date: 2020
End Date: 2023
Funder: Australian Research Council
View Funded ActivityStart Date: 2008
End Date: 12-2014
Amount: $280,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2015
End Date: 06-2020
Amount: $420,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 01-2021
End Date: 12-2024
Amount: $630,000.00
Funder: Australian Research Council
View Funded Activity