ORCID Profile
0000-0002-1047-0503
Current Organisation
University of New South Wales
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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 | Adaptive Agents and Intelligent Robotics | Information Systems | Conceptual Modelling | Information Systems Management | Other Artificial Intelligence | Conceptual Modelling | Knowledge Representation And Machine Learning | Planning And Problem Solving | Urban and Regional Studies (excl. Planning) | Information Storage, Retrieval And Management | Software Engineering | Cognitive Science | Human Geography | Decision Support And Group Support Systems | Intelligent Robotics | Innovation And Technology Management
Expanding Knowledge in Psychology and Cognitive Sciences | Expanding Knowledge in the Information and Computing Sciences | Finance, property and business services | Information processing services | Technological and organisational innovation | Management of Water Consumption by Information and Communication Services | Expanding Knowledge in Commerce, Management, Tourism and Services | Urban and Industrial Water Management | Information services not elsewhere classified | Behavioural and cognitive sciences | Finance and investment services |
Publisher: Elsevier BV
Date: 10-2019
Publisher: IEEE
Date: 2005
DOI: 10.1109/ICMB.2005.94
Publisher: Springer Berlin Heidelberg
Date: 1996
Publisher: Springer Berlin Heidelberg
Date: 2002
Publisher: Springer US
Date: 2006
Publisher: Elsevier
Date: 1994
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2019
Publisher: IEEE Comput. Soc
Date: 1997
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 12-1999
DOI: 10.1097/00005110-199912000-00007
Abstract: To evaluate the effect of implementing a Caring Model on patient satisfaction. Patient satisfaction has become an important indicator of quality care and financial success of healthcare institutions. Acknowledging the importance of nurse caring behaviors and the impact on patient satisfaction has been relatively recent. Based on a synthesis of the literature, five caring behaviors have been formulated into a model no single study identified the five selected behaviors included in this study. In an acute care setting, eight patient satisfaction attributes were incorporated into a Caring Model. Implementation of the model among nursing staff members included an educational in-service, printing of the behaviors on the name badge, reminders in monthly staff meetings and nursing rounds, and inclusion of the caring behaviors in patient care documentation, job descriptions, and performance appraisals. The impact upon patient satisfaction was compared 6 months' preintervention to 6 months' postintervention. Postintervention, the patient satisfaction attributes of Nurses Anticipating Needs and Responds to Requests significantly increased. Attributes that began preintervention as immediate priorities for improvement became major strengths postintervention. Results of this study provide evidence that nurse caring behaviors can influence patient satisfaction. For a Caring Model to be effective, it must become an integral part of strategic planning and be implemented throughout the entire organization. To sustain the effects of the model, there must be frequent reminders among staff members. Nurse caring is an important predictor of patient satisfaction. The authors discuss the effect of implementing a caring model on patient satisfaction. In an acute care setting, eight patient satisfaction attributes incorporated into five nurse caring behaviors were evaluated pre- and postintervention. Results of the study indicated the patient satisfaction attributes of Nurses Anticipating Needs and Responds to Requests significantly increased. Attributes that began as immediate priorities for improvement before intervention became major strengths after intervention.
Publisher: Elsevier BV
Date: 10-2014
Publisher: Springer US
Date: 2003
Publisher: Elsevier BV
Date: 12-2008
Publisher: AI Access Foundation
Date: 16-09-2020
DOI: 10.1613/JAIR.1.11871
Abstract: The AGM paradigm for belief change, as originally introduced by Alchourron, Gärdenfors and Makinson, lacks any guidelines for the process of iterated revision. One of the most influential work addressing this problem is Darwiche and Pearl's approach (DP approach, for short), which, despite its well-documented shortcomings, remains to this date the most dominant. In this article, we make further observations on the DP approach. In particular, we prove that the DP postulates are, in a strong sense, inconsistent with Parikh's relevance-sensitive axiom (P), extending previous initial conflicts. Immediate consequences of this result are that an entire class of intuitive revision operators, which includes Dalal's operator, violates the DP postulates, as well as that the Independence postulate and Spohn's conditionalization are inconsistent with axiom (P). The whole study, essentially, indicates that two fundamental aspects of the revision process, namely, iteration and relevance, are in deep conflict, and opens the discussion for a potential reconciliation towards a comprehensive formal framework for knowledge dynamics.
Publisher: Springer International Publishing
Date: 09-07-2016
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: Springer Science and Business Media LLC
Date: 25-07-2014
Publisher: Springer International Publishing
Date: 31-05-2019
Publisher: IEEE
Date: 09-2009
Publisher: Springer International Publishing
Date: 2013
Publisher: IEEE
Date: 11-2018
Publisher: ACM
Date: 06-03-2017
Publisher: ACM
Date: 06-03-2017
Publisher: IEEE
Date: 10-2011
Publisher: Springer Berlin Heidelberg
Date: 2004
Publisher: IEEE
Date: 08-2014
Publisher: Springer International Publishing
Date: 02-11-2018
Publisher: Springer International Publishing
Date: 2014
Publisher: Springer Science and Business Media LLC
Date: 12-2007
Publisher: IEEE
Date: 10-2011
Publisher: Informa UK Limited
Date: 09-2003
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Springer Berlin Heidelberg
Date: 1998
Publisher: Springer International Publishing
Date: 2014
Publisher: Springer International Publishing
Date: 2013
Publisher: Springer International Publishing
Date: 2017
Publisher: IEEE
Date: 2009
DOI: 10.1109/CSE.2009.478
Publisher: Elsevier BV
Date: 06-1997
Publisher: Elsevier BV
Date: 04-2011
Publisher: IEEE
Date: 12-2012
Publisher: Association for Computing Machinery (ACM)
Date: 31-12-2019
DOI: 10.1145/3404197
Abstract: Teaching by demonstrations and teaching by assigning rewards are two popular methods of knowledge transfer in humans. However, showing the right behaviour (by demonstration) may appear more natural to a human teacher than assessing the learner’s performance and assigning a reward or punishment to it. In the context of robot learning, the preference between these two approaches has not been studied extensively. In this article, we propose a method that replaces the traditional method of reward assignment with action assignment (which is similar to providing a demonstration) in interactive reinforcement learning. The main purpose of the suggested action is to compute a reward by seeing if the suggested action was followed by the self-acting agent or not. We compared action assignment with reward assignment via a user study conducted over the web using a two-dimensional maze game. The logs of interactions showed that action assignment significantly improved users’ ability to teach the right behaviour. The survey results showed that both action and reward assignment seemed highly natural and usable, reward assignment required more mental effort, repeatedly assigning rewards and seeing the agent disobey commands caused frustration in users, and many users desired to control the agent’s behaviour directly.
Publisher: IEEE
Date: 09-2009
Publisher: Wiley
Date: 02-2006
DOI: 10.1111/J.1745-7599.2006.00105.X
Abstract: The purposes or this study were to (a) describe the prevention practices of nurse practitioners (NPs) regarding childhood obesity, (b) compare the practices of NPs by specialty, practice setting, and awareness of childhood obesity prevention guidelines, (c) identify relationships between prevention practices and demographic variables of NPs, and (d) examine the resources for and barriers to implementing prevention practices. A convenience s le of 99 family NPs (FNPs) and pediatric NPs (PNPs) from the Intermountain area was used. Participants completed a questionnaire based on documented risk factors for childhood obesity as well as prevention guidelines developed by the American Academy of Pediatrics (AAP). NPs working in family practice or general pediatric practice settings were not consistently using the BMI-for-age index to screen for childhood obesity, as recommended by the AAP. However, they were teaching parents to promote healthy food choices and physical activity in their families. PNPs and FNPs working in a pediatric practice setting and NPs who were aware of prevention guidelines were more likely to perform several prevention strategies than FNPs working in a family practice setting and those who were unaware of guidelines. Major barriers to implementing childhood obesity prevention strategies included parental attitudes, the American lifestyle, and lack of resources for both the NP and the family. The main resources NPs used in preventing childhood obesity were a dietician, journal articles, and Web sites. Although the majority of the NPs in this study reported being aware of childhood obesity prevention guidelines (73.7%), most were not consistently using BMI for age or monitoring children at increased risk for obesity. Because childhood obesity is escalating at such a rapid rate, it is critical that NPs working in family practice and pediatric practice settings take the necessary steps to help curtail obesity in childhood, including calculating BMI for age, targeting children at risk, and helping families develop healthy nutrition and physical activity habits. In addition to proper health supervision of children, NPs also need to be advocates in their communities to overcome barriers to childhood obesity prevention.
Publisher: Springer International Publishing
Date: 2016
Publisher: IEEE
Date: 03-2016
Publisher: Springer International Publishing
Date: 2014
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2018
Publisher: Springer Berlin Heidelberg
Date: 1998
Publisher: IEEE
Date: 03-2013
Publisher: Springer Netherlands
Date: 2001
Publisher: Elsevier BV
Date: 03-2004
Publisher: IEEE
Date: 08-2017
Publisher: IEEE
Date: 10-2013
Publisher: Springer Science and Business Media LLC
Date: 18-02-2020
Publisher: IGI Global
Date: 2008
DOI: 10.4018/978-1-59904-510-8.CH001
Abstract: Ontology learning has been identified as an inherently transdisciplinary area. Personalized ontology learning for Web personalization involves Web technologies and therefore presents more challenges. This chapter presents a review of the main concepts of ontologies and the state of the art in the area of ontology learning from text. It provides an overview of Web personalization, and identifies issues and describes approaches for learning personalized ontologies. The goal of this survey is—through the study of the main concepts, existing methods, and practices of the area—to identify new connections with other areas for the future success of establishing principles for this new transdisciplinary area. As a result, the chapter is concluded by presenting a number of possible future research directions.
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: IEEE
Date: 09-2009
Publisher: Springer Berlin Heidelberg
Date: 1998
DOI: 10.1007/BFB0055503
Publisher: IEEE
Date: 07-2007
DOI: 10.1109/ICMB.2007.70
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Springer Netherlands
Date: 2001
Publisher: Springer Netherlands
Date: 2001
Publisher: Springer Science and Business Media LLC
Date: 12-03-2009
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: ACM
Date: 09-07-2018
Publisher: Elsevier BV
Date: 04-2016
Publisher: ACM
Date: 03-2018
Publisher: IEEE
Date: 08-2018
Publisher: Springer International Publishing
Date: 2016
Publisher: Association for Computing Machinery (ACM)
Date: 10-2012
Abstract: Multiple Belief Change extends the classical AGM framework for Belief Revision introduced by Alchourron, Gardenfors, and Makinson in the early ’80s. The extended framework includes epistemic input represented as a (possibly infinite) set of sentences , as opposed to a single sentence assumed in the original framework. The transition from single to multiple epistemic input worked out well for the operation of belief revision. The AGM postulates and the system-of-spheres model were adequately generalized and so was the representation result connecting the two. In the case of belief contraction however, the transition was not as smooth. The generalized postulates for contraction, which were shown to correspond precisely to the generalized partial meet model , failed to match up to the generalized epistemic entrenchment model . The mismatch was fixed with the addition of an extra postulate, called the limit postulate , that relates contraction by multiple epistemic input to a series of contractions by single epistemic input. The new postulate however creates problems on other fronts. First, the limit postulate needs to be mapped into appropriate constraints in the partial meet model. Second, via the Levi and Harper Identities, the new postulate translates into an extra postulate for multiple revision, which in turn needs to be characterized in terms of systems of spheres. Both these open problems are addressed in this article. In addition, the limit postulate is compared with a similar condition in the literature, called (K*F), and is shown to be strictly weaker than it. An interesting aspect of our results is that they reveal a profound connection between rationality in multiple belief change and the notion of an elementary set of possible worlds (closely related to the notion of an elementary class of models from classical logic).
Publisher: AI Access Foundation
Date: 26-11-2019
DOI: 10.1613/JAIR.1.11838
Abstract: In this article, the epistemic-entrenchment and partial-meet characterizations of Parikh's relevance-sensitive axiom for belief revision, known as axiom (P), are provided. In short, axiom (P) states that, if a belief set $K$ can be ided into two disjoint compartments, and the new information $\\varphi$ relates only to the first compartment, then the revision of $K$ by $\\varphi$ should not affect the second compartment. Accordingly, we identify the subclass of epistemic-entrenchment and that of selection-function preorders, inducing AGM revision functions that satisfy axiom (P). Hence, together with the faithful-preorders characterization of (P) that has already been provided, Parikh's axiom is fully characterized in terms of all popular constructive models of Belief Revision. Since the notions of relevance and local change are inherent in almost all intellectual activity, the completion of the constructive view of (P) has a significant impact on many theoretical, as well as applied, domains of Artificial Intelligence.
Publisher: IEEE
Date: 03-2016
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11780519_47
Publisher: Springer International Publishing
Date: 2016
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: ACM
Date: 06-03-2017
Publisher: Elsevier BV
Date: 12-2015
Publisher: Springer International Publishing
Date: 2014
Publisher: ACM
Date: 26-02-2018
Publisher: ACM Press
Date: 2006
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: ACM Press
Date: 2006
Publisher: Springer International Publishing
Date: 20-10-2018
Publisher: IEEE
Date: 12-2012
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Duke University Press
Date: 1995
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: IEEE
Date: 08-2018
Publisher: ACM
Date: 26-02-2018
Publisher: Springer Berlin Heidelberg
Date: 1999
Publisher: Springer Berlin Heidelberg
Date: 1999
Publisher: International Joint Conferences on Artificial Intelligence Organization
Date: 08-2017
Abstract: In this article, we provide the epistemic-entrenchment characterization of the weak version of Parikh’s relevance-sensitive axiom for belief revision — known as axiom (P) — for the general case of incomplete theories. Loosely speaking, axiom (P) states that, if a belief set K can be ided into two disjoint compartments, and the new information φ relates only to the first compartment, then the second compartment should not be affected by the revision of K by φ. The above-mentioned characterization, essentially, constitutes additional constraints on epistemic-entrenchment preorders, that induce AGM revision functions, satisfying the weak version of Parikh’s axiom (P).
Publisher: Springer Science and Business Media LLC
Date: 26-12-2017
Publisher: Springer International Publishing
Date: 2017
Publisher: Springer Berlin Heidelberg
Date: 2003
Publisher: IEEE
Date: 11-2015
Publisher: Elsevier BV
Date: 03-2001
DOI: 10.1111/J.1552-6909.2001.TB01541.X
Abstract: To examine factors affecting cervical cancer screening behaviors. Qualitative, descriptive. Interviews were conducted in participants' homes. Purposive s le of 20 Hispanic women 18 to 65 years of age. Participants accessed the health care system primarily during times of illness or in association with impending marriage, obtaining birth control, or childbearing. Barriers to screening participation included personal/cultural and provider/ system factors. Motivators included personal experience with others having cervical cancer, perceived importance of the Pap smear in maintaining health, reduction of financial barriers, and access to culturally appropriate health care. Factors affecting cervical cancer screening behavior among Hispanic women are identifiable and describable. Knowledge of barriers and motivators can be utilized to design effective nursing interventions and community-based programs.
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11426714_11
Publisher: Springer International Publishing
Date: 2016
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 10-2000
DOI: 10.1097/00001786-200010000-00003
Abstract: This article reports the findings of 1996, 1997, and 1998 patient satisfaction surveys administered to managed care enrollees in Utah. More than 14,000 managed care enrollees (both Medicaid and commercial) were selected randomly and contacted by telephone. The 38-question survey was based on Health Plan Employer Data and Information Set (HEDIS) and the National Committee for Quality Assurance (NCQA) measures. Demographic differences between the commercial and Medicaid population were identified. Medicaid enrollees were found to be higher users of health care services. In iduals reporting the greatest health plan satisfaction tended to be healthier. However, Medicaid enrollees reported greater overall health plan satisfaction than commercial enrollees.
Publisher: Springer Science and Business Media LLC
Date: 26-03-2019
Publisher: Public Library of Science (PLoS)
Date: 04-08-2021
DOI: 10.1371/JOURNAL.PONE.0254722
Abstract: Job security can never be taken for granted, especially in times of rapid, widespread and unexpected social and economic change. These changes can force workers to transition to new jobs. This may be because new technologies emerge or production is moved abroad. Perhaps it is a global crisis, such as COVID-19, which shutters industries and displaces labor en masse . Regardless of the impetus, people are faced with the challenge of moving between jobs to find new work. Successful transitions typically occur when workers leverage their existing skills in the new occupation. Here, we propose a novel method to measure the similarity between occupations using their underlying skills. We then build a recommender system for identifying optimal transition pathways between occupations using job advertisements (ads) data and a longitudinal household survey. Our results show that not only can we accurately predict occupational transitions (Accuracy = 76%), but we account for the asymmetric difficulties of moving between jobs (it is easier to move in one direction than the other). We also build an early warning indicator for new technology adoption (showcasing Artificial Intelligence), a major driver of rising job transitions. By using real-time data, our systems can respond to labor demand shifts as they occur (such as those caused by COVID-19). They can be leveraged by policy-makers, educators, and job seekers who are forced to confront the often distressing challenges of finding new jobs.
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Atlantis Press
Date: 2009
DOI: 10.2991/AGI.2009.12
Publisher: Elsevier BV
Date: 2016
DOI: 10.2139/SSRN.2747491
Publisher: IEEE
Date: 07-2017
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Elsevier BV
Date: 02-2010
Publisher: Springer International Publishing
Date: 31-05-2018
Publisher: Springer Science and Business Media LLC
Date: 17-06-2009
Publisher: Springer International Publishing
Date: 2017
Publisher: IEEE
Date: 2005
DOI: 10.1109/ICMB.2005.18
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2016
End Date: 2018
Funder: Australian Research Council
View Funded ActivityStart Date: 2011
End Date: 2014
Funder: Australian Research Council
View Funded ActivityStart Date: 2014
End Date: 2018
Funder: European Commission
View Funded ActivityStart Date: 2012
End Date: 2014
Funder: Australian Research Council
View Funded ActivityStart Date: 2002
End Date: 2004
Funder: Australian Research Council
View Funded ActivityStart Date: 2008
End Date: 2010
Funder: Australian Research Council
View Funded ActivityStart Date: 2007
End Date: 2010
Funder: Australian Research Council
View Funded ActivityStart Date: 2004
End Date: 2006
Funder: Australian Research Council
View Funded ActivityStart Date: 2012
End Date: 2014
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2007
End Date: 12-2011
Amount: $347,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2012
End Date: 12-2015
Amount: $320,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2016
End Date: 12-2019
Amount: $380,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2004
End Date: 03-2009
Amount: $150,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2008
End Date: 12-2013
Amount: $270,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 01-2002
End Date: 12-2006
Amount: $196,500.00
Funder: Australian Research Council
View Funded ActivityStart Date: 11-2012
End Date: 12-2016
Amount: $220,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2012
End Date: 11-2015
Amount: $181,000.00
Funder: Australian Research Council
View Funded Activity