Abstract
The implicit communication of emotional states between persons is a key use case for novel assistive and augmentation technologies. It can serve to expand individuals' perceptual capabilities and assist neurodivergent individuals. Notably, vibrotactile rendering is a promising method for delivering emotional information with minimal interference with visual or auditory perception. To date, the subjective individual association between vibrotactile properties and emotional states remains unclear. Previous approaches relied on analogies or arbitrary variations, limiting generalization. To address this, we conducted a study with 40 participants, analyzing associations between attributes of self-generated vibrotactile patterns (amplitude, frequency, spatial location of stimulation) and four emotional states (Anger, Happiness, Neutral, Sadness). We fin a preference for symmetrically arranged patterns, as well as distinct amplitude and frequency profiles for different emotions.
Original language | English |
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Title of host publication | Proceedings of the 2023 International Symposium on Wearable Computers |
Editors | Zhongyi Zhou |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 50-54 |
Number of pages | 5 |
ISBN (Electronic) | 9798400701993 |
DOIs | |
Publication status | Published - 2023 |
Event | ACM International Symposium on Wearable Computing 2023 - Duration: 8 Oct 2023 → 12 Oct 2023 https://www.ubicomp.org/ubicomp-iswc-2023/ |
Conference
Conference | ACM International Symposium on Wearable Computing 2023 |
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Abbreviated title | ISWC 2023 |
Period | 8/10/23 → 12/10/23 |
Internet address |
Keywords
- Affective Haptics
- Haptic Rendering
- Haptics
- Vibrotactile Encoding