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GenVibe: Exploration of Interactive Generation of Personal Vibrotactile Patterns

Pescara, Erik ; Dreschner, Florian ; Marky, Karola ; Kunze, Kai ; Beigl, Michael (2020):
GenVibe: Exploration of Interactive Generation of Personal Vibrotactile Patterns.
AHs ’20: Augmented Humans International Conference, virtual Conference, 16.-17.03., ISBN 9781450376037,
DOI: 10.1145/3384657.3384794,
[Conference or Workshop Item]

Abstract

Research about vibrotactile patterns is traditionally conducted with patterns handcrafted by experts which are then subsequently evaluated in general user studies. The current empirical approach to designing vibrotactile patterns mostly utilizes expert decisions and is notably not adapted to individual differences in the perception of vibration. This work describes GenVibe: a novel approach to designing vibrotactile patterns by examining the automatic generation of personal patterns. GenVibe adjusts patterns to the perception of an individual through the utilization of interactive generative models. An algorithm is described and tested with a dummy smartphone made from off-the-shelf electronic components. Afterward, a user study with 11 participants evaluates the outcome of GenVibe. Results show a significant increase in accuracy from 73.6% to 84.0% and a higher confidence ratings by the users.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Pescara, Erik ; Dreschner, Florian ; Marky, Karola ; Kunze, Kai ; Beigl, Michael
Title: GenVibe: Exploration of Interactive Generation of Personal Vibrotactile Patterns
Language: English
Abstract:

Research about vibrotactile patterns is traditionally conducted with patterns handcrafted by experts which are then subsequently evaluated in general user studies. The current empirical approach to designing vibrotactile patterns mostly utilizes expert decisions and is notably not adapted to individual differences in the perception of vibration. This work describes GenVibe: a novel approach to designing vibrotactile patterns by examining the automatic generation of personal patterns. GenVibe adjusts patterns to the perception of an individual through the utilization of interactive generative models. An algorithm is described and tested with a dummy smartphone made from off-the-shelf electronic components. Afterward, a user study with 11 participants evaluates the outcome of GenVibe. Results show a significant increase in accuracy from 73.6% to 84.0% and a higher confidence ratings by the users.

ISBN: 9781450376037
Uncontrolled Keywords: genetic algorithm, vibrotactile patterns, haptics, generative models
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Event Title: AHs ’20: Augmented Humans International Conference
Event Location: virtual Conference
Event Dates: 16.-17.03.
Date Deposited: 26 Jun 2020 08:02
DOI: 10.1145/3384657.3384794
Official URL: https://doi.org/10.1145/3384657.3384794
Additional Information:

Article No.: 8

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