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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Proceedings of the A...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
DBLP
Article . 2020
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Experiencing Electrical Muscle Stimulation

Authors: Jarrod Knibbe; A. Alsmith; Kasper Hornbæk;

Experiencing Electrical Muscle Stimulation

Abstract

Electrical Muscle Stimulation (EMS) offers rich opportunities for interaction. By varying stimulation parameters (amplitudes, pulse widths and frequencies), EMS can be used to either trigger muscle contractions, and so convey object affordances or guide user movements, or provide rich haptic feedback. However, the way users' experience changes with these parameters, and EMS in general, is poorly understood. Using a phenomenologically inspired interview technique, the explicitation interview, we study fifteen users' experience of EMS across 48 combinations of stimulation parameters. We synthesize the descriptions of EMS and relate stimulation parameters to categories of experience, such as 'temperature', 'motion', and 'sensitivity'. From the interviews, we explore more general topics in body-based interfaces, including the experience of control, metaphors for having your body actuated, and the relation between EMS parameters and perceived depth and location of sensations. These findings provide a vocabulary of EMS experience, and an insight into the relationship between specific parameters and associated sensations. In turn, this can help designers consider the user experience of EMS when developing interfaces.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
41
Top 10%
Top 10%
Top 10%
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