The Eye is the Window to Working Memory: How to Improve Multitasking Decisions Using Eye Data
Technical Report,15 Jul 2017,14 Jul 2018
Rijksuniversiteit Groningen Groningen Netherlands
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Interruption management systems have as a goal to defer interruptions to a moment of low workload for the user, minimizing the costs of interruptions, and reducing risks. In this research we have explored whether eye-data can serve as a basis for such a decision. Exploring multiple datasets and paradigms we found that such a system is feasible, assuming alterations in workload are not too rapid. The most successful classifier is based on the boosted tree algorithm, leading to a classification accuracy of 74 percent.
- Human Factors Engineering and Man Machine Systems