Interrupted by Your Pupil: An Interruption Management System Based on Pupil Dilation

Katidioti, 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 journalArticleAcademicpeer-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.
Original languageEnglish
Pages (from-to)791-801
Number of pages11
JournalInternational Journal of Human-Computer Interaction
Issue number10
Publication statusPublished - 8-Jun-2016

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