An exploratory analysis of trust in socially assistive robot interactions with unpaid carers of older adults

Gul, Aisha ORCID: https://orcid.org/0000-0002-6278-8046, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289 and Fuentes, Carolina ORCID: https://orcid.org/0000-0002-0871-939X 2024. An exploratory analysis of trust in socially assistive robot interactions with unpaid carers of older adults. Presented at: IEEE RO-MAN 2024, Pasadena, CA, USA, 26-30 August 2024. Item availability restricted.

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Abstract

The global aging population is growing, leading to an increased need for unpaid carers to support older adults. Socially Assistive Robots (SARs) can play an important role in supporting unpaid carers. However, as with any socio- technical system, building and maintaining trust is critical for achieving full potential and adoption of a SAR. Despite the growing interest in robotics across various domains, there has been limited research on time-dependant patterns of trust during Human Robot Interactions (HRI) and how unpaid carers perceive SARs as a support tool for care. We present a study in which we a) investigate the level of trust that unpaid carers have in using SARs for taking care of older adults, b) qualitatively explore the factors that influence trust considering the dynamic and context dependant nature of care. To explore SARs as a support tool from the perspective of unpaid carers we recruited 15 caregivers, we conducted co-design sessions, interviews and carers interacted with a Pepper robot evaluating trust before and after interaction. We discuss how the level of trust of unpaid carers in SARs increases after interaction and how unpaid carers trust in SARs is impacted by socially and culturally intelligent robots. Our work contributes to identify factors influencing trust that are important for carer’s while interacting with SARs, offering insights for the development and implementation of future SAR-based as a support tool that can assist them in taking care of older adults.

Item Type:	Conference or Workshop Item (Paper)
Status:	In Press
Schools:	Computer Science & Informatics
Date of First Compliant Deposit:	19 June 2024
Date of Acceptance:	26 May 2024
Last Modified:	30 Jul 2024 15:51
URI:	https://orca.cardiff.ac.uk/id/eprint/169884

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