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We describe an approach to building integrated performance support systems by using model-based task tracking to link performance support tools to video-based organizational memory systems, enabling contextually appropriate help and advice as well as proactive critiquing.

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The growing number of security breaches has become a major concern in organisations. Most often, such security breaches are related to internal employees due to their indirect or direct actions leading to information security policy (ISP) violations. Therefore, understanding employees’ security behaviour and intrinsic motivation towards ISP compliance with respect to autonomy is critical. This study aims to find out whether the autonomy intrinsic motivator can be influenced by the Decisions and Disruptions (D-D) table-top game to enhance security awareness and, in turn, reinforce behavioural intention towards ISP compliance. We developed pre- and post-assessment tests on intrinsic motivation to find out whether there is a significant improvement in test scores after participants experience D-D gameplay. Thirty postgraduate students participated in the study. Overall results confirmed that the autonomy intrinsic motivator is positively influenced by the game and has a positive effect on the behavioural intention to comply with ISPs.

We present the first example of 'minimally cognitive' sensorimotor behaviour arising from a body as physical reservoir. By revisiting an experiment introduced by Beer (1996) and replacing the continuous-time recurrent neural network (CTRNN) therein with networks of mass-spring-dampers we demonstrate that bodies may be exploited for more than control and pattern generation and take over some tasks which were previously thought to require a central nervous system.

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Producing high-quality, comprehensible user intetices is a difficult, labor-intensive process that requires experience and judgment.In this paper, we describe an approach to assisting this process by using explicit models of the user's task to drive the interface design process. The task model helps to ensure that the resulting interf%ce directly and transparently supports the user in performing his task. By crafting a library of standardized, reusable tasks and interface constructs, we believe it is possible to capture some of the design expertise and to amortize much of the labor required for building effective user interfaces. Keywords

Abstract. Case-based retrieval and other decision support systems typically exist separately from the tools and tasks they support. Users are required to initiate searches and identify target case features manually, and as a result the systems are not used to their full extent. We describe an approach to integrating an ASK system-a type of video case library-with a performance support tool. This approach uses model-based task tracking to retrieve cases relevant to how a user is performing a task, not just to the artifacts that are created during the process.