Details
| Original language | English |
|---|---|
| Title of host publication | CHI EA '16 |
| Subtitle of host publication | Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 2526-2532 |
| Number of pages | 7 |
| ISBN (electronic) | 9781450340823 |
| Publication status | Published - 7 May 2016 |
| Event | 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States Duration: 7 May 2016 → 12 May 2016 |
Abstract
In mobile contexts guidance towards objects is usually done through the visual channel. Sometimes this channel is overloaded or not appropriate. A practicable form of haptic feedback is challenging. Electrical muscle stimulation (EMS) can generate mobile force feedback but has a number of drawbacks. For complex movements several muscles need to be actuated in concert and a feedback loop is necessary to control movements. We present an approach that only requires the actuation of six muscles with four pairs of electrodes to guide the index finger to a 2D point and let the user perform mid-air disambiguation gestures. In our user study participants found invisible, static target positions on top of a physical box with a mean 2D deviation of 1.44 cm from the intended target.
Keywords
- Electrical muscle stimulation, Guidance, Haptic feedback
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
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CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2016. p. 2526-2532.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Follow the Force
T2 - 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
AU - Kaul, Oliver Beren
AU - Rohs, Michael
AU - Pfeiffer, Max
N1 - Publisher Copyright: © 2016 Authors. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/5/7
Y1 - 2016/5/7
N2 - In mobile contexts guidance towards objects is usually done through the visual channel. Sometimes this channel is overloaded or not appropriate. A practicable form of haptic feedback is challenging. Electrical muscle stimulation (EMS) can generate mobile force feedback but has a number of drawbacks. For complex movements several muscles need to be actuated in concert and a feedback loop is necessary to control movements. We present an approach that only requires the actuation of six muscles with four pairs of electrodes to guide the index finger to a 2D point and let the user perform mid-air disambiguation gestures. In our user study participants found invisible, static target positions on top of a physical box with a mean 2D deviation of 1.44 cm from the intended target.
AB - In mobile contexts guidance towards objects is usually done through the visual channel. Sometimes this channel is overloaded or not appropriate. A practicable form of haptic feedback is challenging. Electrical muscle stimulation (EMS) can generate mobile force feedback but has a number of drawbacks. For complex movements several muscles need to be actuated in concert and a feedback loop is necessary to control movements. We present an approach that only requires the actuation of six muscles with four pairs of electrodes to guide the index finger to a 2D point and let the user perform mid-air disambiguation gestures. In our user study participants found invisible, static target positions on top of a physical box with a mean 2D deviation of 1.44 cm from the intended target.
KW - Electrical muscle stimulation
KW - Guidance
KW - Haptic feedback
UR - http://www.scopus.com/inward/record.url?scp=85014656600&partnerID=8YFLogxK
U2 - 10.1145/2851581.2892352
DO - 10.1145/2851581.2892352
M3 - Conference contribution
AN - SCOPUS:85014656600
SP - 2526
EP - 2532
BT - CHI EA '16
PB - Association for Computing Machinery (ACM)
Y2 - 7 May 2016 through 12 May 2016
ER -