ElectroCaresses: Contactless Apparent Motion on the Forearm using Electrostatic Piloerection

Devices capable of stroking the user's forearm are being explored for digitally mediated touch but are mainly contact-based. We propose ElectroCaresses, the use of electrostatic piloerection to convey contactless gentle strokes by generating dynamic patterns of hair erection along the forearm. We investigated if a discrete set of electrodes can convey apparent motion (n=12), and evaluated effects of distance, duration and direction on continuity perception. We show that participants can discriminate stimuli direction with a high accuracy (93%) and perceive a continuous stroking stimulus using discrete signals. We finally propose guidelines for designing haptic illusions of motion using electrostatics-based haptics.

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Publication Details

Journal
IEEE Transactions on Haptics
Published
2025-01-01
DOI
https://doi.org/10.1109/toh.2025.3579134
Citations
1
Primary Topic
Electrohydrodynamics and Fluid Dynamics
Type
article
Field-Weighted Citation Impact
0.73
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ElectroCaresses: Contactless Apparent Motion on the Forearm using Electrostatic Piloerection

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article

ElectroCaresses: Contactless Apparent Motion on the Forearm using Electrostatic Piloerection

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article en
1 citations

Abstract

Devices capable of stroking the user's forearm are being explored for digitally mediated touch but are mainly contact-based. We propose ElectroCaresses, the use of electrostatic piloerection to convey contactless gentle strokes by generating dynamic patterns of hair erection along the forearm. We investigated if a discrete set of electrodes can convey apparent motion (n=12), and evaluated effects of distance, duration and direction on continuity perception. We show that participants can discriminate stimuli direction with a high accuracy (93%) and perceive a continuous stroking stimulus using discrete signals. We finally propose guidelines for designing haptic illusions of motion using electrostatics-based haptics.

IEEE Transactions on HapticsVol. PP
Universidad de Navarra (ES)
Openalex Percentile: Top 27%
Electrohydrodynamics and Fluid Dynamics
0.73
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