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DOI: 10.4121/d9f05363-d7d3-411a-9f3a-d78e49b4d3c5

K Balasubramanian, Jagan; Pool, Daan; Vardar, Yasemin (2025): Data underlying the publication - Sliding Speed Influences Electrovibration-Induced Finger Friction Dynamics on Touchscreens. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d9f05363-d7d3-411a-9f3a-d78e49b4d3c5.v1

Categories

• Mechanical Engineering
• Electrical and Electronic Engineering
• Biomedical Engineering
• Interdisciplinary Engineering
• Engineering
• Technology
• Information and Computing Sciences

Keywords

Biotribology Electrovibration Finger-surface friction Skin mechanics surface haptics Texture rendering

Licence

CC BY-NC 4.0

Interoperability

• RO-Crate Metadata

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by Jagan K Balasubramanian , Daan Pool , Yasemin Vardar

This study investigates how exploration conditions affect electrovibration-induced finger friction on touchscreens and the role of skin mechanics. Ten participants slid their index fingers across an electrovibration-enabled touchscreen at five speeds ($20\sim100$~mm/s) and force levels ($0.2\sim0.6$~N). Contact forces and skin accelerations were measured while applying amplitude-modulated voltage signals spanning the tactile frequency range. The finger-display interaction was modeled as a first-order system and the skin mechanics as a mass-spring-damper system. Results showed that higher sliding speeds increased the cutoff frequency of the interaction response, likely due to higher finger stiffness. Inter-participant variability affected the model parameters of both responses. Based on these findings, a speed-dependent friction model was developed to deliver consistent electrovibration stimuli across varying exploratory conditions.

History

• 2025-08-17 first online, published, posted

Publisher

4TU.ResearchData

Format

.csv

References

• https://arxiv.org/abs/2505.11162

Funding

• From signal-based modeling to sensation-based modeling (grant code 19153 ) Dutch Research Council (NWO) and Huawei Technologies

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Cognitive Robotics;
TU Delft, Faculty of Aerospace Engineering, Department of Control Operations