Abstract
There are many mechanisms to sense arousal. Most of them are
either intrusive, prone to bias, costly, require skills to set-up or do
not provide additional context to the user’s measure of arousal. We
present arousal detection through the analysis of pupillary response
from eye trackers. Using eye-trackers, the user’s focal attention
can be detected with high fidelity during user interaction in an
unobtrusive manner. To evaluate this, we displayed twelve images
of varying arousal levels rated by the International Affective Picture
System (IAPS) to 41 participants while they reported their arousal
levels. We found a moderate correlation between the self-reported
arousal and the algorithm’s arousal rating, r (47) = .46,p ≤ .001.
The results show that eye trackers can serve as a multi-sensory
device for measuring arousal, and relate the level of arousal to
the user’s focal attention. We anticipate that in the future, high
fidelity web cameras can be used to detect arousal in relation to user
attention, to improve usability, UX and understand visual behaviour.
either intrusive, prone to bias, costly, require skills to set-up or do
not provide additional context to the user’s measure of arousal. We
present arousal detection through the analysis of pupillary response
from eye trackers. Using eye-trackers, the user’s focal attention
can be detected with high fidelity during user interaction in an
unobtrusive manner. To evaluate this, we displayed twelve images
of varying arousal levels rated by the International Affective Picture
System (IAPS) to 41 participants while they reported their arousal
levels. We found a moderate correlation between the self-reported
arousal and the algorithm’s arousal rating, r (47) = .46,p ≤ .001.
The results show that eye trackers can serve as a multi-sensory
device for measuring arousal, and relate the level of arousal to
the user’s focal attention. We anticipate that in the future, high
fidelity web cameras can be used to detect arousal in relation to user
attention, to improve usability, UX and understand visual behaviour.
| Original language | English |
|---|---|
| Title of host publication | ICMI 2018 - Proceedings of the 2018 International Conference on Multimodal Interaction |
| Publisher | Association for Computing Machinery |
| Pages | 263-267 |
| Number of pages | 5 |
| Edition | 20th |
| ISBN (Electronic) | 9781450356923 |
| ISBN (Print) | 978-1-4503-5692-3/18/10 |
| DOIs | |
| Publication status | Published - 1 Oct 2018 |
Publication series
| Name | ICMI 2018 - Proceedings of the 2018 International Conference on Multimodal Interaction |
|---|
Keywords
- Affective computing
- Arousal
- Eye-tracking
- Pupillary response
- Physiological response