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COGCAM: Contact-free Measurement of Cognitive Stress During Computer Tasks with a Digital Camera
Name
16.McDuff-et-al-CHI.pdf
Description
Accepted version
Size
726.28 KB
Format
Adobe PDF
Checksum (MD5)
70a87a592a6c67c6a3e368216f0c9714
Author(s) • • •
McDuff, Daniel J.
Hernandez, Javier
Gontarek, Sarah
Picard, Rosalind W.
Date Issued
May 7, 2016
Publisher
ACM
Citation
McDuff, Daniel J., Hernandez, Javier, Gontarek, Sarah and Picard, Rosalind W. 2016. "COGCAM: Contact-free Measurement of Cognitive Stress During Computer Tasks with a Digital Camera."
Version
Author's final manuscript
Abstract
Contact-free camera-based measurement of cognitive stress opens up new possibilities for human-computer interaction with applications in remote learning, stress monitoring, and optimization of workload for user experience. The autonomic nervous system controls the inter-beat intervals of the heart and breathing patterns, and these signals change under cognitive stress. We built a participant-independent cognitive stress recognition model based on photoplethysmographic signals measured remotely at a distance of 3 meters. We tested the model on naturalistic responses from 10 individuals completing randomizedorder computer-based tasks (ball control and card sorting). The system successfully detected increased stress during the tasks, which were consistent with self-report measures. Changes in heart rate variability were more discriminative indicators of cognitive stress than were heart rate and breathing rate.
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
10.1145/2858036.2858247