Time-dependent Cues Encode the Minimum Exploration Time in Discriminating Naturalistic Compliances

Our perception of compliance is informed by multi-dimensional tactile cues. Compared with stationary cues at terminal contact, time-dependent cues may afford optimal efficiency, speed, and fidelity. In this work, we investigate strategies by which temporal cues may encode compliances by modulating o...

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Bibliographic Details
Published inIEEE Haptics Symposium Vol. 2020; pp. 22 - 27
Main Authors Xu, Chang, Gerling, Gregory J.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.03.2020
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ISSN2324-7347
2324-7355
DOI10.1109/HAPTICS45997.2020.ras.HAP20.7.ec43f6a7

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Summary:Our perception of compliance is informed by multi-dimensional tactile cues. Compared with stationary cues at terminal contact, time-dependent cues may afford optimal efficiency, speed, and fidelity. In this work, we investigate strategies by which temporal cues may encode compliances by modulating our exploration time. Two potential perceptual strategies are considered, inspired by memory representations within and between explorations. For either strategy, we introduce a unique computational approach. First, a curve similarity analysis, of accumulating touch force between sequentially explored compliances, generates a minimum time for discrimination. Second, a Kalman filtering approach derives a recognition time from progressive integration of stiffness estimates over time within a single exploration. Human-subjects experiments are conducted for both single finger touch and pinch grasp. The results indicate that for either strategy, by employing a more natural pinch grasp, time-dependent cues afford greater efficiency by reducing the exploration time, especially for harder objects. Moreover, compared to single finger touch, pinch grasp improves discrimination rates in judging plum ripeness. The time-dependent strategies as defined here appear promising, and may tie with the time-scales over which we make perceptual judgments.
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ISSN:2324-7347
2324-7355
DOI:10.1109/HAPTICS45997.2020.ras.HAP20.7.ec43f6a7