User satisfaction with allied health services delivered to residential facilities via videoconferencing

We have investigated the role of videoconferencing in allied health service provision to high-care clients in rural residential facilities. Videoconferencing equipment was set up at a rural aged-care facility and a metropolitan allied health centre; ISDN transmission at 384 kbit/s was used to link the equipment. Twelve residents were assessed by both videoconference and face to face across five allied health disciplines (a total of 120 assessments). User satisfaction was measured using questionnaires and focus groups. Face-to-face assessment took significantly longer than videoconferencing assessment. However, the mean satisfaction ratings for face-to-face assessments were higher than for videoconferencing and the majority of the staff preferred the face-to-face format. Videoconferencing was particularly useful for consultations and the initial stages of the assessment process. A number of issues relating to the videoconferencing equipment, to the environment in which assessments were performed and to the clients themselves need to be addressed in order for this form of service delivery to be effective.

Effective affective user interface design in games

It is proposed that games, which are designed to generate positive affect, are most successful when they facilitate flow (Csikszentmihalyi 1992). Flow is a state of concentration, deep enjoyment, and total absorption in an activity. The study of games, and a resulting understanding of flow in games can inform the design of non-leisure software for positive affect. The paper considers the ways in which computer games contravene Nielsen's guidelines for heuristic evaluation ( Nielsen and Molich 1990) and how these contraventions impact on flow. The paper also explores the implications for research that stem from the differences between games played on a personal computer and games played on a dedicated console. This research takes important initial steps towards de. ning how flow in computer games can inform affective design.

Ex ante evaluations of alternate data structures for end user queries: Theory and experimental test

The data structure of an information system can significantly impact the ability of end users to efficiently and effectively retrieve the information they need. This research develops a methodology for evaluating, ex ante, the relative desirability of alternative data structures for end user queries. This research theorizes that the data structure that yields the lowest weighted average complexity for a representative sample of information requests is the most desirable data structure for end user queries. The theory was tested in an experiment that compared queries from two different relational database schemas. As theorized, end users querying the data structure associated with the less complex queries performed better Complexity was measured using three different Halstead metrics. Each of the three metrics provided excellent predictions of end user performance. This research supplies strong evidence that organizations can use complexity metrics to evaluate, ex ante, the desirability of alternate data structures. Organizations can use these evaluations to enhance the efficient and effective retrieval of information by creating data structures that minimize end user query complexity.

Family centred care: a review of qualitative studies

Aim. To review systematically qualitative studies, which were found during a literature search for a Cochrane systematic review of the use of family centred care in children's hospitals. Background. Family centred care has become a cornerstone of paediatric practice, however, its effectiveness is not known. No single definition exists, rather a list of elements that constitute family centred care. However, it is recognized to involve the parents in care planning for a child in health services. A new definition is presented here. Methods. The papers were found in wide range of databases, by hand searching and by contacting the authors where necessary, using terms given in detail in the protocol in the Cochrane Library, in 2004. Qualitative studies could not be used for statistical analysis, but are still important to the review and so are described separately in this paper. Results. Negotiation between staff and families, perceptions held by both parents and staff roles influenced the delivery of family centred care. A sub-theme of cost of family centred care to families and staffs was discovered and this included both financial and emotional costs. Conclusion. Further research is needed to generate evidence about family centred care in situations arising from modern models of care in which family centred care is thought to be an inherent part, but which leave families with the care of sick children with little or no support. Relevance to clinical practice. Family centred care is said to be used widely in practice. More research is needed to ensure that is it being implemented correctly.

Towards user profiling for web recommendation

Collaborative recommendation is one of widely used recommendation systems, which recommend items to visitor on a basis of referring other's preference that is similar to current user. User profiling technique upon Web transaction data is able to capture such informative knowledge of user task or interest. With the discovered usage pattern information, it is likely to recommend Web users more preferred content or customize the Web presentation to visitors via collaborative recommendation. In addition, it is helpful to identify the underlying relationships among Web users, items as well as latent tasks during Web mining period. In this paper, we propose a Web recommendation framework based on user profiling technique. In this approach, we employ Probabilistic Latent Semantic Analysis (PLSA) to model the co-occurrence activities and develop a modified k-means clustering algorithm to build user profiles as the representatives of usage patterns. Moreover, the hidden task model is derived by characterizing the meaningful latent factor space. With the discovered user profiles, we then choose the most matched profile, which possesses the closely similar preference to current user and make collaborative recommendation based on the corresponding page weights appeared in the selected user profile. The preliminary experimental results performed on real world data sets show that the proposed approach is capable of making recommendation accurately and efficiently.