Abstract
Stiffness of many materials follows Hooke's Law, but the mechanism underlying the haptic perception of stiffness is not as simple as it seems in the physical definition. The present experiments support a model by which stiffness perception is adaptively updated during dynamic interaction. Participants actively explored virtual springs and estimated their stiffness relative to a reference. The stimuli were simulations of linear springs or nonlinear springs created by modulating a linear counterpart with low-amplitude, half-cycle (Experiment 1) or full-cycle (Experiment 2) sinusoidal force. Experiment 1 showed that subjective stiffness increased (decreased) as a linear spring was positively (negatively) modulated by a half-sinewave force. In Experiment 2, an opposite pattern was observed for full-sinewave modulations. Modeling showed that the results were best described by an adaptive process that sequentially and recursively updated an estimate of stiffness using the force and displacement information sampled over trajectory and time.
Original language | English (US) |
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Pages (from-to) | 941-952 |
Number of pages | 12 |
Journal | Journal of Experimental Psychology: Human Perception and Performance |
Volume | 44 |
Issue number | 6 |
DOIs | |
State | Published - Jun 2018 |
Keywords
- Bayesian updating
- Haptic perception
- Magnitude estimation
- Recursive estimation
- Stiffness
ASJC Scopus subject areas
- Experimental and Cognitive Psychology
- Arts and Humanities (miscellaneous)
- Behavioral Neuroscience