In this paper, I describe how the methods of Rapid Contextual Design [2] were used in an elective course given on User Centered Design in Computer Science at Reykjavik University. The students used contextual interviews, affinity diagrams, data walk, visioning, paper prototypes and paper prototype interviews in a software project where the aim was to co-operate with real users when analyzing, d...

This research compared ratings of task performance and contextual performance from three different sources: self, peer, and supervisor. Participants were service industry employees in the service industries in Yogyakarta, Indonesia. A Sample of 146 employees and 40 supervisors   from the service industries provided ratings of task performance and contextual performance. The results indicated th...

This paper presents the novel use of storyboards for composing, organizing and visualizing tactical agents designed to serve as computer generated forces. These tactical agents represent enemy forces that act and react to trainee actions and are specifically used here to populate military training scenarios. The tactical agents are based on the Context-based Reasoning human behavior representat...

• ABSTRACT The schedule and budget constraints of commercial product development make field research difficult to justify and integrate into the product lifecycle. As a result, commercial products do not always benefit from the unique and rich qualitative data obtained from field research methods. This paper describes guidelines for applying field research methods successfully in industry, incl...

At present, the most effective way to deal with the demographic shift of elders is encouraging them to live in nursing homes for more effective health care. However, such move dramatically increases their risk of social isolation. A contextual inquiry in a local nursing home revealed that most elderly people have few connections with the outside environment because of their decreased mobility a...

Contextual comparison of discovered patterns deals with the interpretation of outputs from data mining algorithms. The vehicle provided to perform such operations is that of contextual interestingness, which allows the allocation of importance and direction to each attribute in a result set. Applying these mechanisms it is not only possible to detect trends in results across time, but also to c...

0039-3681/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.shpsa.2012.09.003 E-mail address: [email protected] 1 In this paper, ‘‘contextual factors’’ refer to any facto epistemic values. For a discussion of epistemic values, This paper examines the state of the field of ‘‘science and values’’—particularly regarding the implications of the thesis of transient ...

This technical report presents the work of the University of Lugano at TREC 2015 Contextual Suggestion and Temporal Summarization tracks. The first track that we report on, is the Contextual Suggestion. The goal of the Contextual Suggestion track is to develop systems that could generate user-specific suggestions that a user might potentially like. Our proposed method attempts to model the user...

The traditional preference mining setting, referred to here as the batch setting, has been widely studied in the literature in recent years. However, the dynamic nature of the problem of mining preferences increasingly requires solutions that quickly adapt to change. The main reason for this is that frequently user's preferences are not static and can evolve over time. In this article, we addre...

Learning depends on attention. The processes that cue attention in the moment dynamically integrate learned regularities and immediate contextual cues. This paper reviews the extensive literature on cued attention and attentional learning in the adult literature and proposes that these fundamental processes are likely significant mechanisms of change in cognitive development. The value of this ...