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
Unknown
Checksum (MD5)
70a87a592a6c67c6a3e368216f0c9714
Author(s)
McDuff, Daniel Jonathan
Hernandez Rivera, 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.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2858036.2858247
