Vibrotactile Similarity Perception in Crowdsourced and Lab Studies

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  • Ramzi Abou Chahine
  • Dongjae Kwon
  • Chungman Lim
  • Gunhyuk Park
  • Seifi, Hasti

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 languageEnglish
Title of host publicationHaptics : Science, Technology, Applications - 13th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2022, Proceedings
EditorsHasti Seifi, Astrid M. Kappers, Oliver Schneider, Knut Drewing, Claudio Pacchierotti, Alireza Abbasimoshaei, Gijs Huisman, Thorsten A. Kern
Number of pages9
PublisherSpringer
Publication date2022
Pages255-263
ISBN (Print)9783031062483
DOIs
Publication statusPublished - 2022
Event13th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2022 - Hamburg, Germany
Duration: 22 May 202225 May 2022

Conference

Conference13th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2022
LandGermany
ByHamburg
Periode22/05/202225/05/2022
SeriesLecture Notes in Computer Science
Volume13235 LNCS
ISSN0302-9743

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

    Research areas

  • Crowdsourcing, Haptics, Similarity perception

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