Interrupted by Your Pupil: An Interruption Management System Based on Pupil DilationKatidioti, I., Borst, J. P., Bierens de Haan, D. J., Pepping, T., van Vugt, M. K. & Taatgen, N. A., 8-Jun-2016, In : International Journal of Human-Computer Interaction. 32, 10, p. 791-801 11 p.
Research output: Contribution to journal › Article › Academic › peer-review
Interruptions are prevalent in everyday life and can be very disruptive. An important factor that affects the level of disruptiveness is the timing of the interruption: Interruptions at low-workload moments are known to be less disruptive than interruptions at high-workload moments. In this study, we developed a task-independent interruption management system (IMS) that interrupts users at low-workload moments in order to minimize the disruptiveness of interruptions. The IMS identifies low-workload moments in real time by measuring users? pupil dilation, which is a well-known indicator of workload. Using an experimental setup we showed that the IMS succeeded in finding the optimal moments for interruptions and marginally improved performance. Because our IMS is task-independent?it does not require a task analysis?it can be broadly applied.
|Number of pages||11|
|Journal||International Journal of Human-Computer Interaction|
|Publication status||Published - 8-Jun-2016|
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