Mental workload as personal data: designing a cognitive activity tracker

Wilson, Max L., Sharon, Natalia, Maior, Horia A., Midha, Serena, Craven, Michael P. and Sharples, Sarah (2018) Mental workload as personal data: designing a cognitive activity tracker. In: 3rd Symposium on Computing and Mental Health.

Full content URL: https://doi.org/10.1145/3170427.3170665

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

Research continues to correlate physical signals with mental activity, as opposed to physical activity, with physiological sensors. Further, with the proliferation of wearable technology, it seems imminent that our smart watches can soon keep track of our mental activity as well as our physical activity. Our research is working towards accurately measuring Mental Workload 'in the wild' using physiological sensors. While we work towards that goal, however, we have begun to explore the design aspects of representing personal cognitive data to users; analogous to a step counter for physical activity. We present the results of diary studies, focus groups, and prototyping exercises to identify design considerations for future cognitive activity trackers.

Additional Information:The symposium is part of ACM CHI Conference on Human Factors in Computing Systems (CHI 2018), Montreal, Canada, 21-26 April 2018.
Keywords:Mental Workload, personal data, activity monitoring
Subjects:G Mathematical and Computer Sciences > G440 Human-computer Interaction
C Biological Sciences > C850 Cognitive Psychology
Divisions:College of Science > School of Computer Science
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ID Code:39593
Deposited On:20 Mar 2020 16:35

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