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Serious games aim to provide cognitive assessments that are more enjoyable and easier to self-administer, potentially leading to more frequent assessments. We carried out two studies examining the relationship between game-playing enjoyment, game difficulty, and cognitive (game) performance. In the first study, 16 participants played three serious games once a week over four weeks as part of an undergraduate course, but with relatively minor motivation in terms of course credits. In the second study, 14 participants played serious games over six sessions in a period of three weeks. Participants included graduate students receiving credit for the course project (a major component of the grade) and friends and family that they recruited. Performance in the more difficult tasks tended to improve over time in the second study, but not in the first. Participants from the first study showed an overall negative sentiment toward the games. However, participants from the second study enjoyed the majority of games except for the more difficult games that required players to temporarily hold and memorize information. Participants got significantly better in the more difficult working memory games, even though these games were less popular than the simpler games. Our interpretation of the results is that enjoyability is important in encouraging people to keep playing cognitive assessment games as time progresses, and that enjoyability helps in maintaining performance in easy games. Higher motivation on the other hand played a significant role in facilitating learning effects in difficult games as well as in maintaining enjoyability.

As a first step in the development of community trackers for large-scale online interaction, this paper shows how cohesive subgroup analysis using the Social Cohesion Analysis of Networks (SCAN; Chin and Chignell 2008) and Data-Intensive Socially Similar Evolving Community Tracker (DISSECT; Chin and Chignell 2010) methods can be applied to the problem of identifying cohesive subgroups and tracking them over time. Three case studies are reported, and the findings are used to evaluate how well the SCAN and DISSECT methods work for different types of data. In the largest of the case studies, variations in temporal cohesiveness are identified across a set of subgroups extracted from the inferred social network. Further modifications to the DISSECT methodology are suggested based on the results obtained. The paper concludes with recommendations concerning further research that would be beneficial in addressing the community tracking problem for online data.

The problem of identifying cohesive subgroups in social hypertext is reviewed. A computationally efficient three-step framework for identifying cohesive subgroups is proposed, referred to as the Social Cohesion Analysis of Networks (SCAN) method. In the first step of this method (Select), people within a social network are screened using a level of network centrality to select possible subgroup members. In the second step (Collect), the people selected in the first step are collected into subgroups identified at each point in time using hierarchical cluster analysis. In the third step (Choose), similarity modeling is used to choose cohesive subgroups based on the similarity of subgroups when compared across different points in time. The application of this SCAN method is then demonstrated in a case study where a subgroup is automatically extracted from a social network formed based on the online interactions of a group of about 150 people that occurred over a two-year period. In addition, this paper also demonstrates that similarity-based cohesion can provide a different, and in this case more compelling, subgroup representation than a method based on splitting a hierarchical clustering dendrogram using an optimality criterion.

Point of care access to electronic medical records may provide clinicians with the information they want when they need it and may in turn improve patient safety. Yet providing an electronic medical record on handheld devices presents many usability challenges, and it is unclear whether clinicians will use them.An iterative design process for the development and evaluation of a prototype of a mobile electronic medical record was performed. Usability sessions were conducted in which physicians were asked to 'think aloud' while working through clinical scenarios using the prototype. Verbal protocol analysis, which consists of coding utterances, was conducted on the transcripts from the sessions and common themes were extracted.Usability sessions were held with five family physicians and four internists with varying levels of computer expertise. Physicians were able to use the device to complete 52 of 54 required tasks. Users commented that it was intuitive (9/9), would increase accessibility (5/9) but for them to use it, it would need the system to be fast and time-saving (5/9). Users had difficulty entering information (5/9) and reading the screen (4/9). In terms of functionality, users had concerns about completeness of information (6/9), details of ordering (5/9) and desired billing functionality (5/9) and integration with other systems (4/9).While physicians can use mobile electronic medical records in realistic scenarios, certain requirements likely need to be met including a fast system with easy data selection, easy data entry and improved display before widespread adoption occurs.

This paper addresses the issue of how research methodology can be developed for the specific needs of research into information exploration behaviour, based on a four year program of research on individual strategies in information exploration. We propose a meta-experimental framework where research is carried out through a dynamic interaction between what and why questions, and between confirmatory and exploratory analyses. This approach preserves many of the advantages of formal experimentation, while permitting a more holistic examination of phenomena that is characteristic of ethnography. The application of the meta-theoretical framework is illustrated in three case studies that examined new information exploration functionalities and interfaces and their relationship to expertise and exploration strategy

Computers have become an important tool for participating in society for many people with disabilities. Recent efforts in rehabilitation engineering have focused on input techniques for the human-computer interface and on improving the visual presentation of information. However, as these visual presentations become more sophisticated, currently exemplified by Graphical User Interfaces (GUIs), access for people with visual or cognitive impairments often becomes more difncult. A model of feedback that is relatively independent of sensory modalities (i.e., visual, auditory and tactile) has been proposed by Fels, Shein, Chignell and Milner (1992) as a basis for designing user interfaces for people with a wide range of sensory abilities. One key component identified in this model is a standardised feedback vocabulary that describes screen elements. A study was conducted to determine whether target users could use the elements of this language to identify the elements within existing screens. Results indicate ...