Abstract
Previous research has demonstrated the feasibility of conveying vibrotactile encoded information efficiently using wearable devices. Users can understand vibrotactile encoded symbols and complex messages combining such symbols. Such wearable devices can find applicability in many multitasking use cases. Nevertheless, for mul-titasking, it would be necessary for the perception and comprehension of vibrotactile information to be less attention demanding and not interfere with other parallel tasks. We present a user study which investigates whether high speed vibrotactile encoded messages can be perceived in the background while performing other concurrent attention-demanding primary tasks. The vibrotactile messages used in the study were limited to symbols representing letters of English Alphabet. We observed that users could very accurately comprehend vibrotactile such encoded messages in the background and other parallel tasks did not affect users performance. Additionally, the comprehension of such messages did also not affect the performance of the concurrent primary task as well. Our results promote the use of vibrotactile information transmission to facilitate multitasking.
| Original language | English |
|---|---|
| Title of host publication | 24rd International Conference on Intelligent User Interfaces (IUI’19). |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 57-64 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 1 Jan 2019 |
Keywords
- Skin reading
Fingerprint
Dive into the research topics of 'Background perception and comprehension of symbols conveyed through vibrotactile wearable displays'. Together they form a unique fingerprint.-
Optimising the Encoding for Vibrotactile Skin Reading
Luzhnica, G. & Veas, E., 9 May 2019, ACM CHI Conference on Human Factors in Computing Systems (CHI'19). Association for Computing Machinery (ACM)Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Investigating Interactions for Text Recognition using a Vibrotactile Wearable Display
Luzhnica, G. & Veas, E., 2018, 23rd International Conference on Intelligent User Interfaces, ACM IUI. p. 453-465 13 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Passive haptic learning for vibrotactile skin reading
Luzhnica, G., Veas, E. & Seim, C., 2018, Proceedings of the 2018 ACM International Symposium on Wearable Computers, ISWC. p. 40-43 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS