Evidence map›Paper›PMID 39677979›Full record

ArticleFrontiers in robotics and AI2024

Simulating the psychological and neural effects of affective touch with soft robotics: an experimental study.

Caroline Y Zheng, Ker-Jiun Wang, Maitreyee Wairagkar, Mariana von Mohr, Erik Lintunen, Aikaterini Fotopoulou

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Article in Frontiers in robotics and AI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Caroline Y ZhengSchool of Communication, Royal College of Art, London, United Kingdom.
Ker-Jiun WangDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
Maitreyee WairagkarDepartment of Mechanical Engineering, Imperial College London, London, United Kingdom.
Mariana von MohrDepartment of Psychology, Royal Holloway, University of London, London, United Kingdom.
Erik LintunenSchool of Communication, Royal College of Art, London, United Kingdom.
Aikaterini FotopoulouClinical, Educational and Health Psychology, University College London, London, United Kingdom.

Funding

European Research Council 818070
6 · The paper itself

Abstract

Human affective touch is known to be beneficial for social-emotional interactions and has a therapeutic effect. For touch initiated by robotic entities, richer affective affordance is a critical enabler to unlock its potential in social-emotional interactions and especially in care and therapeutic applications. Simulating the attributes of particular types of human affective touch to inform robotic touch design can be a beneficial step. Inspired by the scientific finding on CT-optimal affective touch - a gentle skin stroking at velocities of 1-10 cm/s evidenced to be pleasant and calming, we developed a proof-of-concept haptic rendering system - S-CAT, using pneumatic silicone soft robotic material to simulate the attributes (velocity, temperature and applied normal force) of CT-optimal affective touch. To investigate whether the affective touch performed by the S-CAT system elicits psychological effects comparable to CT-optimal, manual affective touch, we conducted an experimental study comparing the effects of CT-optimal versus non-CT-optimal stimulation velocities in each of three types of stimulation modes (S-CAT device, skin-to-skin manual stroking, hairbrush manual stroking), and across them. Our measures included subjective ratings of touch pleasantness and intensity, neurophysiological responses (EEG), and qualitative comments. Our results showed that velocity modulated subjective and neurophysiological responses in each and across these three stimulation modes, and that CT-optimal stimulations from S-CAT system and manual method received similar ratings and verbal comments on pleasantness, suggesting that the S-CAT touch can have comparable effects to manual stroking. We discuss the design insights learned and the design space that this study opens up to support well-being and healthcare.

Indexed as

affective hapticsaffective touchCT-optimal touchhaptic rendering designS-CAT systemsoft roboticsstroking touch

Identifiers

PMID39677979
PMCPMC11638054

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.