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Investigation of Pupil Dilation as a Parameter for Mental Workload in Diverse Ambient Noise Conditions

Location:  Zoom link (Please ask Steven Schmidt for access)  

Date/Time: 07.06.2021, 14:00-15:30 

SPEAKER: Pablo Prietz (TU-Berlin)

Abstract: Noise-cancelling technology has the potential to reduce mental workload (MWL)in a variety of listening-related tasks and noise conditions. To verify the former claim,I process eye-tracking data from subjects (N=26) performing mental arithmetic tasks under three different noise conditions.The data was recorded outside of the context of this thesis, as part of the Cognitive Load project at the Quality and Usability Lab1, Technische Universität Berlin, Germany. Specifically, I analyze the subjects’ pupil-size changes which are associated with increased levels of MWL in the literature. The found pupil responses are in line with prior mental arithmetic experiments but my investigation shows no significant MWL differences between the noise conditions. I discuss this result with regard to the Cognitive Load’s experiment design not being specifically tuned to the recording and analysis of eye-tracking data and propose concrete improvements to align the design and setup with pupillometry best practices.

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