Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | MUM 2020 |
| Untertitel | 19th International Conference on Mobile and Ubiquitous Multimedia, Proceedings |
| Herausgeber/-innen | Jessica Cauchard, Markus Lochtefeld |
| Herausgeber (Verlag) | Association for Computing Machinery (ACM) |
| Seiten | 229-239 |
| Seitenumfang | 11 |
| ISBN (elektronisch) | 9781450388702 |
| Publikationsstatus | Veröffentlicht - Nov. 2020 |
| Veranstaltung | 19th International Conference on Mobile and Ubiquitous Multimedia, MUM 2020 - Virtual, Online, Deutschland Dauer: 22 Nov. 2020 → 25 Nov. 2020 |
Publikationsreihe
| Name | ACM International Conference Proceeding Series |
|---|
Abstract
We propose around-the-head spatial vibrotactile patterns for representing different kinds of notifications. The patterns are defined in terms of stimulus location, intensity profile, rhythm, and roughness modulation. A first study evaluates recall and distinguishability of 30 patterns, as well as agreement on meaning without a predetermined context: Agreement is low, yet the recognition rate is surprisingly high. We identify which kinds of patterns users recognize well and which ones they prefer. Static stimulus location patterns have a higher recognition rate than dynamic patterns, which move across the head as they play. Participants preferred dynamic patterns for comfort. A second study shows that participants are able to distinguish substantially more around-the-head spatial patterns than smartphone-based patterns. Spatial location has the highest positive impact on accuracy among the examined features, so this parameter allows for a large number of levels.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Mensch-Maschine-Interaktion
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Maschinelles Sehen und Mustererkennung
- Informatik (insg.)
- Software
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- BibTex
- RIS
MUM 2020: 19th International Conference on Mobile and Ubiquitous Multimedia, Proceedings. Hrsg. / Jessica Cauchard; Markus Lochtefeld. Association for Computing Machinery (ACM), 2020. S. 229-239 (ACM International Conference Proceeding Series).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Design and Evaluation of On-the-Head Spatial Tactile Patterns
AU - Kaul, Oliver Beren
AU - Rohs, Michael
AU - Mogalle, Marc
PY - 2020/11
Y1 - 2020/11
N2 - We propose around-the-head spatial vibrotactile patterns for representing different kinds of notifications. The patterns are defined in terms of stimulus location, intensity profile, rhythm, and roughness modulation. A first study evaluates recall and distinguishability of 30 patterns, as well as agreement on meaning without a predetermined context: Agreement is low, yet the recognition rate is surprisingly high. We identify which kinds of patterns users recognize well and which ones they prefer. Static stimulus location patterns have a higher recognition rate than dynamic patterns, which move across the head as they play. Participants preferred dynamic patterns for comfort. A second study shows that participants are able to distinguish substantially more around-the-head spatial patterns than smartphone-based patterns. Spatial location has the highest positive impact on accuracy among the examined features, so this parameter allows for a large number of levels.
AB - We propose around-the-head spatial vibrotactile patterns for representing different kinds of notifications. The patterns are defined in terms of stimulus location, intensity profile, rhythm, and roughness modulation. A first study evaluates recall and distinguishability of 30 patterns, as well as agreement on meaning without a predetermined context: Agreement is low, yet the recognition rate is surprisingly high. We identify which kinds of patterns users recognize well and which ones they prefer. Static stimulus location patterns have a higher recognition rate than dynamic patterns, which move across the head as they play. Participants preferred dynamic patterns for comfort. A second study shows that participants are able to distinguish substantially more around-the-head spatial patterns than smartphone-based patterns. Spatial location has the highest positive impact on accuracy among the examined features, so this parameter allows for a large number of levels.
KW - Augmented Reality
KW - Tactile Patterns
KW - Vibrotactile Feedback
UR - http://www.scopus.com/inward/record.url?scp=85097282369&partnerID=8YFLogxK
U2 - 10.1145/3428361.3428407
DO - 10.1145/3428361.3428407
M3 - Conference contribution
AN - SCOPUS:85097282369
T3 - ACM International Conference Proceeding Series
SP - 229
EP - 239
BT - MUM 2020
A2 - Cauchard, Jessica
A2 - Lochtefeld, Markus
PB - Association for Computing Machinery (ACM)
T2 - 19th International Conference on Mobile and Ubiquitous Multimedia, MUM 2020
Y2 - 22 November 2020 through 25 November 2020
ER -