Investigating the Potential of Life-Like Haptic Cues for Socially Assistive Care Robots

Borgstedt, J. (2023) Investigating the Potential of Life-Like Haptic Cues for Socially Assistive Care Robots. In: 2023 ACM/IEEE International Conference on Human-Robot Interaction, Stockholm, Sweden, 13–16 Mar 2023, pp. 745-747. ISBN 9781450399708 (doi: 10.1145/3568294.3579972)

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Abstract

Physical touch (e.g., hugging, holding hands, petting an animal) plays a fundamental role in the provision of socio-emotional support. Touch-based interactions should thus be considered for socially assistive robots designed to provide similar support. However, the haptic properties of currently existing robots are limited. While research has shown possibilities of integrating life-like haptic cues (e.g., thermal, vibrotactile, pressure cues) into robotic interfaces, current understanding of user experiences with life-like haptic cues delivered by a robot, and their potential to regulate user affect, is insufficient. The current and proposed works investigate whether integrating life-like haptic cues into Human-Robot Interaction (HRI) can enhance the socio-emotional support provided by socially assistive robots and improve the relationships with, and perceptions of such robots. The findings of this work will provide insights into user experiences of touching a socially assistive robot and their perceptions of life-like haptic cues. The contributions will provide concrete design suggestions on how haptic cues can be integrated into interfaces of socially assistive robots to enhance users’ well-being during stress-inducing situations.

Item Type:Conference Proceedings
Additional Information:This work was supported by the UKRI Centre for Doctoral Training in Socially Intelligent Artificial Agents, Grant Number EP/S02266X/1.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Borgstedt, Jacqueline
Authors: Borgstedt, J.
College/School:College of Science and Engineering
ISBN:9781450399708

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
303764EPSRC CDT - Socially Intelligent Artificial AgentsAlessandro VinciarelliEngineering and Physical Sciences Research Council (EPSRC)EP/S02266X/1Computing Science