Abstract
Crowdsourcing can enable rapid data collection for haptics research, yet little is known about its validity in comparison to controlled lab experiments. Furthermore, no data exists on how different smartphone platforms impact the crowdsourcing results. To answer these questions, we conducted four vibrotactile (VT) similarity perception studies on iOS and Android smartphones in the lab and through Amazon Mechanical Turk (MTurk). Participants rated the pairwise similarities of 14 rhythmic VT patterns on their smartphones or a lab device. The similarity ratings from the lab and MTurk experiments suggested a very strong correlation for iOS devices (rs= 0.9 ) and a lower but still strong correlation for Android phones (rs= 0.68 ). In addition, we found a stronger correlation between the crowdsourced iOS and Android ratings (rs= 0.78 ) compared to the correlation between the iOS and Android data in the lab (rs= 0.65 ). We provide further insights into these correlations using the perceptual spaces obtained from the four datasets. Our results provide preliminary evidence for the validity of crowdsourced VT similarity studies, especially on iOS devices.
Original language | English |
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Title of host publication | Haptics : Science, Technology, Applications - 13th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2022, Proceedings |
Editors | Hasti Seifi, Astrid M. Kappers, Oliver Schneider, Knut Drewing, Claudio Pacchierotti, Alireza Abbasimoshaei, Gijs Huisman, Thorsten A. Kern |
Number of pages | 9 |
Publisher | Springer |
Publication date | 2022 |
Pages | 255-263 |
ISBN (Print) | 9783031062483 |
DOIs | |
Publication status | Published - 2022 |
Event | 13th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2022 - Hamburg, Germany Duration: 22 May 2022 → 25 May 2022 |
Conference
Conference | 13th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2022 |
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Country/Territory | Germany |
City | Hamburg |
Period | 22/05/2022 → 25/05/2022 |
Series | Lecture Notes in Computer Science |
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Volume | 13235 LNCS |
ISSN | 0302-9743 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s).
Keywords
- Crowdsourcing
- Haptics
- Similarity perception