Static weight perception through skin stretch and kinesthetic information: detection thresholds, JNDs, and PSEs

Femke E. Van Beek, Raymond J. King, Casey Brown, Massimiliano Di Luca, Sean Keller

Research output: Contribution to journalArticlepeer-review

Abstract

We examined the contributions of kinesthetic and skin stretch cues to static weight perception. In three psychophysical experiments, several aspects of static weight perception were assessed by asking participants either to detect on which hand a weight was presented or to compare between two weight cues. Two closed-loop controlled haptic devices were used to present cutaneous and kinesthetic weights, in isolation and together, with a precision of 0.05g. Our results show that combining skin stretch and kinesthetic information leads to better weight detection thresholds than presenting uni-sensory cues does. For supra-threshold stimuli, Weber fractions were 22-44%. Kinesthetic information was less reliable for lighter weights, while both sources of information were equally reliable for weights up to 300g. Weight was perceived as equally heavy regardless of whether skin stretch and kinesthetic cues were presented together or alone. Data for lighter weights complied with an Optimal Integration model, while for heavier weights, measurements were closer to predictions from a Sensory Capture model. The presence of correlated noise might explain this discrepancy, since that would shift predictions from the Optimal Integration model towards our measurements. Our experiments provide device-independent perceptual measures, and can be used to inform, for instance, skin stretch device design.

Original languageEnglish
Pages (from-to)20-31
Number of pages12
JournalIEEE Transactions on Haptics
Volume14
Issue number1
Early online date15 Jul 2020
DOIs
Publication statusPublished - Jan 2021

Keywords

  • Psychophysics
  • weight perception
  • skin stretch
  • tactile
  • kinesthetic
  • device design guidelines

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Science Applications

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