Customisation’s impact on strengthening affective bonds and decision-making with socially assistive robots

• Published in: Frontiers in robotics and AI Vol. 11; p. 1384610
• Main Authors: Ahmed, Mohammed Shabaj, Giuliani, Manuel, Leonards, Ute, Bremner, Paul
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 14.10.2024
• Subjects: affective bonds in HRI; customisation in robotics; decision-making in HRI; personalised robots; Robotics and AI; socially assistive robots (SAR); trust in robotics; personalised robots; human-robot interaction (HRI); trust in robotics; affective bonds in HRI; persuasive robots; customisation in robotics; decision-making in HRI; socially assistive robots (SAR)
• ISSN: 2296-9144; 2296-9144
• DOI: 10.3389/frobt.2024.1384610

This study aims to fill a gap in understanding how customising robots can affect how humans interact with them, specifically regarding human decision-making and robot perception. The study focused on the robot’s ability to persuade participants to follow its suggestions within the Balloon Analogue Risk Task (BART), where participants were challenged to balance the risk of bursting a virtual balloon against the potential reward of inflating it further. A between-subjects design was used, involving 62 participants divided evenly between customised or non-customised robot conditions. Compliance, risk-taking, reaction time, and perceptions of the robot’s likability, intelligence, trustworthiness, and ownership were measured using quantitative and qualitative methods. The results showed that there were no significant differences in compliance or risk-taking behaviours between customised and non-customised robots. However, participants in the customised condition reported a significant increase in perceived ownership. Additionally, reaction times were longer in the customised condition, particularly for the “collect” suggestion. These results indicate that although customisation may not directly affect compliance or risk-taking, it enhances cognitive engagement and personal connection with robots. Regardless of customisation, the presence of a robot significantly influenced risk-taking behaviours, supporting theories of over-trust in robots and the automation bias. These findings highlight the importance of carefully considering ethical design and effective communication strategies when developing socially assistive robots to manage user trust and expectations, particularly in applications where behavioural influence is involved.