Details
| Original language | English |
|---|---|
| Title of host publication | MUM '23 |
| Subtitle of host publication | Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia |
| Editors | Florian Michahelles, Pascal Knierim, Jonna Hakkila |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 166-178 |
| Number of pages | 13 |
| ISBN (electronic) | 9798400709210 |
| Publication status | Published - 3 Dec 2023 |
| Event | 2nd International Conference on Mobile and Ubiquitous Multimedia, MUM 2023 - Vienna, Austria Duration: 3 Dec 2023 → 6 Dec 2023 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Abstract
Providing rich feedback on small devices, like smartwatches, can be difficult. We propose colorful electrotactile feedback on the back of a smartwatch. Colorful electrotactile feedback provides private notifications, is energy efficient, and can express various sensations in different qualities. In a first study, 13 participants explored 49 different combinations of frequency and pulse width regarding the perceived "colorfulness"of electrotactile feedback. We investigated what sensations can be expressed with electrotactile feedback and which qualities of these sensations are conveyed. To describe the sensations, participants chose the best fitting terms from a list of 21 terms. The three most frequently selected terms were prickling (177), vibrating (163), and irritating (112). The three least frequently selected ones were twitching (31), tickling (29), and itching (28). In a second study with 17 participants we evaluated a reduced set of 9 sensations that we selected and refined based on the results of study 1. We evaluated these sensations regarding recognition rates and achieved recognition rates of up to 84% without prior learning. Furthermore, we investigated the acceptance of colorful electrotactile feedback and present a method for an easier and faster calibration of electrotactile feedback.
Keywords
- colorful electrotactile feedback, electrotactile feedback, notification, sensation, smartwatch
ASJC Scopus subject areas
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Software
Cite this
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MUM '23: Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia. ed. / Florian Michahelles; Pascal Knierim; Jonna Hakkila. Association for Computing Machinery (ACM), 2023. p. 166-178 (ACM International Conference Proceeding Series).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Colorful Electrotactile Feedback on the Wrist
AU - Duente, Tim
AU - Schulte, Justin
AU - Lucius, Malte
AU - Rohs, Michael
PY - 2023/12/3
Y1 - 2023/12/3
N2 - Providing rich feedback on small devices, like smartwatches, can be difficult. We propose colorful electrotactile feedback on the back of a smartwatch. Colorful electrotactile feedback provides private notifications, is energy efficient, and can express various sensations in different qualities. In a first study, 13 participants explored 49 different combinations of frequency and pulse width regarding the perceived "colorfulness"of electrotactile feedback. We investigated what sensations can be expressed with electrotactile feedback and which qualities of these sensations are conveyed. To describe the sensations, participants chose the best fitting terms from a list of 21 terms. The three most frequently selected terms were prickling (177), vibrating (163), and irritating (112). The three least frequently selected ones were twitching (31), tickling (29), and itching (28). In a second study with 17 participants we evaluated a reduced set of 9 sensations that we selected and refined based on the results of study 1. We evaluated these sensations regarding recognition rates and achieved recognition rates of up to 84% without prior learning. Furthermore, we investigated the acceptance of colorful electrotactile feedback and present a method for an easier and faster calibration of electrotactile feedback.
AB - Providing rich feedback on small devices, like smartwatches, can be difficult. We propose colorful electrotactile feedback on the back of a smartwatch. Colorful electrotactile feedback provides private notifications, is energy efficient, and can express various sensations in different qualities. In a first study, 13 participants explored 49 different combinations of frequency and pulse width regarding the perceived "colorfulness"of electrotactile feedback. We investigated what sensations can be expressed with electrotactile feedback and which qualities of these sensations are conveyed. To describe the sensations, participants chose the best fitting terms from a list of 21 terms. The three most frequently selected terms were prickling (177), vibrating (163), and irritating (112). The three least frequently selected ones were twitching (31), tickling (29), and itching (28). In a second study with 17 participants we evaluated a reduced set of 9 sensations that we selected and refined based on the results of study 1. We evaluated these sensations regarding recognition rates and achieved recognition rates of up to 84% without prior learning. Furthermore, we investigated the acceptance of colorful electrotactile feedback and present a method for an easier and faster calibration of electrotactile feedback.
KW - colorful electrotactile feedback
KW - electrotactile feedback
KW - notification
KW - sensation
KW - smartwatch
UR - http://www.scopus.com/inward/record.url?scp=85180130543&partnerID=8YFLogxK
U2 - 10.1145/3626705.3627800
DO - 10.1145/3626705.3627800
M3 - Conference contribution
AN - SCOPUS:85180130543
T3 - ACM International Conference Proceeding Series
SP - 166
EP - 178
BT - MUM '23
A2 - Michahelles, Florian
A2 - Knierim, Pascal
A2 - Hakkila, Jonna
PB - Association for Computing Machinery (ACM)
T2 - 2nd International Conference on Mobile and Ubiquitous Multimedia, MUM 2023
Y2 - 3 December 2023 through 6 December 2023
ER -