Hoekstra, M. (2016) An Interruption Management System based on Pupil Dilation tested in Air Trafic Control. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Interruptions become more and more predominant in daily life and lead to more errors and slower task completion. One way to minimize the disruptiveness of interruptions is to manage at which moment in the task they occur. Interruptions are less disruptive when they take place on low mental workload moments than on high mental workload moments. In the current study, we created a system for managing the timing of interruptions in order to make them less disruptive. This interruption management system (IMS) is based on pupil dilation, a well-known indicator for mental workload. The IMS was tested with a simple task that simulates air traffic control and was compared to random interruptions. However, after testing it with 6 participants, we discovered that there is probably a flaw in the software that prevented us from drawing any conclusions about the performance of the IMS.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Feb 2018 08:11 |
| Last Modified: | 15 Feb 2018 08:11 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/13724 |
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