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Evaluation of vibrotactile pattern design using vibrotactile score

Authors: Jaebong Lee; Seungmoon Choi;

Evaluation of vibrotactile pattern design using vibrotactile score

Abstract

Despite the plethora of vibrotactile applications that have impacted our everyday life, how to design vibrotactile patterns efficiently continues to be a challenge. Previously, we proposed a vibrotactile score as an intuitive and effective approach for vibrotactile pattern design. The vibrotactile score is adapted from common musical scores and preserves the metaphor of musical scores for easy learning. In this paper, we investigate the usability of the vibrotactile score, focusing on its learnability, efficiency, and user preference. Experiment I was to compare the vibrotactile score and the current dominant practice of vibrotactile pattern design using programming or scripting. The results gained from programming experts validated the substantially superior performance of the vibrotactile score. Experiment II compared the vibrotactile score with waveform-based design implemented in a few recent graphical authoring tools. Regular users without programming backgrounds participated in this experiment, and the results substantiated the improved performance of the vibrotactile score.

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Found an issue? Give us feedback
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!
19
Top 10%
Top 10%
Top 10%
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