Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2018
Abstract
Previous research demonstrated the ability for users to accurately recognize Spatiotemporal Vibrotactile Patterns (SVP): sequences of vibrations on different motors occurring either sequentially or simultaneously. However, the experiments were only run in a lab setting and the ability for users to recognize SVP in a real-world environment remains unclear. In this paper, we investigate how several factors may affect recognition: (1) physical activity (running), (2) cognitive task (i.e. primary task, typing), (3) distribution of the vibration motors across body parts and (4) temporality of the patterns. Our results suggest that physical activity has very little impact, specifically compared to cognitive task, location of the vibrations or temporality. We discuss these results and propose a set of guidelines for the design of SVPs.
Keywords
Tactile feedback, spatiotemporal vibrotactile pattern, wearable computing, physical activity, cognitive load
Discipline
Graphics and Human Computer Interfaces
Publication
AVI '18: Proceedings of the 2018 International Conference on Advanced Visual Interfaces, Castiglione della Pescaia Grosseto, Italy, May 29 - June 1
First Page
1
Last Page
9
ISBN
9781450356169
Identifier
10.1145/3206505.3206511
Publisher
ACM
City or Country
New York
Citation
CHEN, Qin; PERRAULT, Simon T.; ROY, Quentin Xavier Louis; and WYSE, Lonce.
Effect of temporality, physical activity, and cognitive load on spatiotemporal vibrotactile pattern recognition. (2018). AVI '18: Proceedings of the 2018 International Conference on Advanced Visual Interfaces, Castiglione della Pescaia Grosseto, Italy, May 29 - June 1. 1-9.
Available at: https://ink.library.smu.edu.sg/sis_research/10180
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3206505.3206511