1. Data-Driven Sparse Skin Stimulation Can Convey Social Touch Information to Humans
- Author
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Keith Klumb, Frances Lau, Cara M. Nunez, Sophia R. Williams, Ali Israr, Freddy Abnousi, Mike Salvato, Xin Zhu, Allison M. Okamura, and Heather Culbertson
- Subjects
FOS: Computer and information sciences ,Pressure sensor array ,Computer science ,Emotions ,Computer Science - Human-Computer Interaction ,Wearable computer ,Sparse approximation ,Human-Computer Interaction (cs.HC) ,Computer Science Applications ,Data-driven ,Skin stimulation ,Human-Computer Interaction ,Touch Perception ,Touch ,Human–computer interaction ,Physical Stimulation ,Humans ,Social touch ,Cues ,Meaning (linguistics) ,Haptic technology - Abstract
During social interactions, people use auditory, visual, and haptic cues to convey their thoughts, emotions, and intentions. Due to weight, energy, and other hardware constraints, it is difficult to create devices that completely capture the complexity of human touch. Here we explore whether a sparse representation of human touch is sufficient to convey social touch signals. To test this we collected a dataset of social touch interactions using a soft wearable pressure sensor array, developed an algorithm to map recorded data to an array of actuators, then applied our algorithm to create signals that drive an array of normal indentation actuators placed on the arm. Using this wearable, low-resolution, low-force device, we find that users are able to distinguish the intended social meaning, and compare performance to results based on direct human touch. As online communication becomes more prevalent, such systems to convey haptic signals could allow for improved distant socializing and empathetic remote human-human interaction., Comment: Copyright 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
- Published
- 2022