Document Type

Pre-Print

Publication Date

2026

Abstract

Stiffness perception has previously been shown to be influenced by damping. This work addresses open questions about what damping conditions are best for enabling classification of virtual walls by their stiffness. Through a forced-choice classification experiment with 12 participants, we found that the highest mean classification performance (in terms of both information transfer and percent correct responses) occurred when freespace damping matched wall damping, rather than being higher or lower. However, statistically significant differences did not appear between the closest damping values employed, suggesting that the effects do not become pronounced until the damping is quite mismatched.

DOI

10.1109/HAPTICS66823.2026.11495487

Publication Information

2026 IEEE Haptics Symposium (HAPTICS)

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Engineering Commons

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