Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | CHI '17 |
Untertitel | Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems |
Herausgeber (Verlag) | Association for Computing Machinery (ACM) |
Seiten | 5318-5330 |
Seitenumfang | 13 |
ISBN (elektronisch) | 9781450346559 |
Publikationsstatus | Veröffentlicht - 2 Mai 2017 |
Veranstaltung | 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 - Denver, USA / Vereinigte Staaten Dauer: 6 Mai 2017 → 11 Mai 2017 |
Abstract
Current mobile devices commonly use vibration feedback to signal incoming notifications. However, vibration feedback exhibits strong attention capture, limiting its use to short periods and prominent notifications. Instead, we investigate the use of compression feedback for notifications, which scales from subtle stimuli to strong ones and can provide sustained stimuli over longer periods. Compression feedback utilizes inflatable straps around a user's limbs, a form factor allowing for easy integration into many common wearables. We explore technical aspects of compression feedback and investigate its psychophysical properties with several lab and in situ studies. Furthermore, we show how compression feedback enables reactive feedback. Here, deflation patterns are used to reveal further information on a user's query. We also compare compression and vibrotactile feedback and find that they have similar performance. Copyright is held by the owner/author(s). Publication rights licensed to ACM.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Informatik (insg.)
- Mensch-Maschine-Interaktion
- Informatik (insg.)
- Computergrafik und computergestütztes Design
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2017. S. 5318-5330.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Squeezeback
T2 - 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017
AU - Pohl, Henning
AU - Brandes, Peter
AU - Quang, Hung Ngo
AU - Rohs, Michael
N1 - Publisher Copyright: © 2017 ACM. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017/5/2
Y1 - 2017/5/2
N2 - Current mobile devices commonly use vibration feedback to signal incoming notifications. However, vibration feedback exhibits strong attention capture, limiting its use to short periods and prominent notifications. Instead, we investigate the use of compression feedback for notifications, which scales from subtle stimuli to strong ones and can provide sustained stimuli over longer periods. Compression feedback utilizes inflatable straps around a user's limbs, a form factor allowing for easy integration into many common wearables. We explore technical aspects of compression feedback and investigate its psychophysical properties with several lab and in situ studies. Furthermore, we show how compression feedback enables reactive feedback. Here, deflation patterns are used to reveal further information on a user's query. We also compare compression and vibrotactile feedback and find that they have similar performance. Copyright is held by the owner/author(s). Publication rights licensed to ACM.
AB - Current mobile devices commonly use vibration feedback to signal incoming notifications. However, vibration feedback exhibits strong attention capture, limiting its use to short periods and prominent notifications. Instead, we investigate the use of compression feedback for notifications, which scales from subtle stimuli to strong ones and can provide sustained stimuli over longer periods. Compression feedback utilizes inflatable straps around a user's limbs, a form factor allowing for easy integration into many common wearables. We explore technical aspects of compression feedback and investigate its psychophysical properties with several lab and in situ studies. Furthermore, we show how compression feedback enables reactive feedback. Here, deflation patterns are used to reveal further information on a user's query. We also compare compression and vibrotactile feedback and find that they have similar performance. Copyright is held by the owner/author(s). Publication rights licensed to ACM.
KW - Blood pressure
KW - Compression feedback
KW - Mobile haptics
KW - Notifications
KW - Pneumatics
KW - Pressure feedback
KW - Wearable
KW - blood pressure
KW - pneumatics
KW - wearable
KW - mobile haptics
KW - notifications
KW - compression feedback
UR - http://www.scopus.com/inward/record.url?scp=85019544781&partnerID=8YFLogxK
U2 - 10.1145/3025453.3025526
DO - 10.1145/3025453.3025526
M3 - Conference contribution
AN - SCOPUS:85019544781
SP - 5318
EP - 5330
BT - CHI '17
PB - Association for Computing Machinery (ACM)
Y2 - 6 May 2017 through 11 May 2017
ER -