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Journal Articles Proceedings of the ACM on Human-Computer Interaction Year : 2021

Multi-channel Tactile Feedback Based on User Finger Speed

Abstract

Alongside vision and sound, hardware systems can be readily designed to support various forms of tactile feedback; however, while a significant body of work has explored enriching visual and auditory communication with interactive systems, tactile information has not received the same level of attention. In this work, we explore increasing the expressivity of tactile feedback by allowing the user to dynamically select between several channels of tactile feedback using variations in finger speed. In a controlled experiment, we show that a user can learn the dynamics of eyes-free tactile channel selection among different channels, and can reliable discriminate between different tactile patterns during multi-channel selection with an accuracy up to 90% when using two finger speed levels. We discuss the implications of this work for richer, more interactive tactile interfaces.
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Dates and versions

hal-03383756 , version 1 (27-06-2024)

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Yosra Rekik, Edward Lank, Adnane Guettaf, Laurent Grisoni. Multi-channel Tactile Feedback Based on User Finger Speed. Proceedings of the ACM on Human-Computer Interaction , 2021, 5 (ISS), pp.1-17. ⟨10.1145/3488549⟩. ⟨hal-03383756⟩
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