Doing the right task: Context-Aware Notification for Mobile Police Teams

The main argument in this thesis is that mobile technology has to adapt information presentation to the mobile use context and Human Factors (attention, workload and individual characteristics). This will provide better support for work in these domains than non-adaptive systems. We expect such context-aware mobile support (CAMS) systems to...

Balancing benefits and costs of autmated task allocation in mobile surveillance

Motivation - Automated task allocation systems are prone to errors (e.g. incorrect advice) due to context events. Empirical assessment is needed of how the costs of incorrect task allocation advice relate to the benefits. Research approach - Claims regarding benefits and costs are tested in a team surveillance task in a synthetic task...

Context-aware team task allocation to support mobile police surveillance

To optimally distribute tasks within police teams during mobile surveillance, a context-aware task allocation system is designed and evaluated with end-users. This system selects and notifies appropriate team members of current incidents, based on context information (officer availability, officer proximity to the incident and incident priority)...

Designing personal attentive user interfaces in the mobile public safety domain

In the mobile computing environment, there is a need to adapt the information and service provision to the momentary attentive state of the user, operational requirements and usage context. This paper proposes to design personal attentive user interfaces (PAUI) for which the content and style of information presentation is based on models of...