Stress, Mental Workload, Task Difficulty

Continuous assessment of stress, mental workload and task difficulty is essential in improving the usability and accessibility of interactive systems. Physiological sensing capabilities have often been investigated to achieve this ability, with reports on the limited role of standard physiological metrics. In this project, we explore new approaches to the analysis of our physiological responses for automated estimation of such psychological states.

Some of our featured articles and editorial below:

[1] Cho, Youngjun. "Rethinking eye-blink: assessing task difficulty through physiological representation of spontaneous blinking." Proceedings of the 2021 CHI conference on human factors in computing systems. 2021. https://dl.acm.org/doi/abs/10.1145/3411764.3445577
Video 1: https://www.youtube.com/watch?v=O8LsUmQD4hM
Video 2: https://www.youtube.com/watch?v=67ZaHFL5B_c

[2] Cho, Y. et al. (2019). Instant stress: detection of perceived mental stress through smartphone photoplethysmography and thermal imaging. JMIR mental health, 6(4), e10140. https://mental.jmir.org/2019/4/e10140/

[3] Chen, S., Cho, Y., Yu, K., Ferrari, L. M., & Bremond, F. (2022). Recognizing the State of Emotion, Cognition and Action from Physiological and Behavioural Signals. Frontiers in Computer Science, 97.