Thomas Kosch
Mariam Hassib
Daniel Buschek
Albrecht Schmidt
ABSTRACT
Cognition-aware systems acquire physiological data to derive implications about physical and mental states. Pupil dilation has recently attracted attention in the HCI community as an indicator for mental workload. The impact of mental workload on pupillary behavior has been extensively examined. However, systems making use of these measurements to alleviate mental workload have been scarcely evaluated. Our work investigates the expediency of task complexity adaption based on pupillary data in real-time. By conducting math tasks with different complexities, we calibrate a complexity adjustment system. In a pilot study (N=6), we evaluate the feasibility of changing task complexity using two different complexities. Our findings show less perceived mental workload during task complexity adaptation compared to presenting high task complexities only. We show the potential of pupil dilation as a valid metric for assessing mental workload as a modality for cognition-aware user interfaces.
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Index Terms
- Look into my Eyes: Using Pupil Dilation to Estimate Mental Workload for Task Complexity Adaptation
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