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.)
doi: 10.1145/3384657.3384794
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Pescara, Erik ; Dreschner, Florian ; Marky, Karola ; Kunze, Kai ; Beigl, Michael |
| Art des Eintrags: | Bibliographie |
| Titel: | GenVibe: Exploration of Interactive Generation of Personal Vibrotactile Patterns |
| Sprache: | Englisch |
| Publikationsjahr: | 2020 |
| Veranstaltungstitel: | AHs ’20: Augmented Humans International Conference |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 16.-17.03. |
| DOI: | 10.1145/3384657.3384794 |
| URL / URN: | https://doi.org/10.1145/3384657.3384794 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | genetic algorithm, vibrotactile patterns, haptics, generative models |
| Zusätzliche Informationen: | Article No.: 8 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation |
| Hinterlegungsdatum: | 26 Jun 2020 08:02 |
| Letzte Änderung: | 26 Jun 2020 08:02 |
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