Enhancing decision-making based on social responses for Human-Robot Interactions (HRI) applications

Hafizalshah, Muhammad Hariz and Ghazali, Aimi Shazwani and Sidek, Shahrul Na'im and Md. Yusof, Hazlina (2024) Enhancing decision-making based on social responses for Human-Robot Interactions (HRI) applications. JOURNAL OF MECHATRONICS AND INTELLIGENT MANUFACTURING, 6 (1). pp. 7-18. E-ISSN 2637-0883

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Abstract

Making decisions, especially in uncertain situations, can be challenging. This study explores how a social robot, acting as an advisor, affects human decision-making in a specially designed game. The social robot facilitated the decision-making process using verbal cues in a study with a 2x2 between-subject (controlling language and social praise) design experiment. Drawing from the Technology Acceptance Model (TAM) and the Persuasive Robots Acceptance Model (PRAM), the study assess how human responses influence the acceptance of this technology. Sixty participants took part in the experiment, and as results, their anxiety levels decreased after interacting with the robot and playing the game. Also, the outcomes highlight positive social responses, suggesting that social robots have potential in supporting decision-making even though the specific impact of social cues on participant responses is somewhat limited. Also, significantly, the coefficient of determination, R2 for Intentions as modelled by TAM, experienced a 0.236 increase with the incorporation of social responses in the acceptance modelling via PRAM. In conclusion, incorporating social responses such as liking and beliefs enhances the ability to predict acceptance, emphasizing the importance of considering social aspects in the acceptance of robots. This research contributes to the understanding of Human-Robot interaction (HRI) and provides valuable insights for future developments in social robots for decision-making support.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Decision-making, Human-Robot Interaction (HRI), Social responses, Verbal Social Cues, Technology Acceptance
Subjects:	H Social Sciences > H Social Sciences (General) > H61 Theory. Method H Social Sciences > HA Statistics > HA154 Statistical data T Technology > TA Engineering (General). Civil engineering (General) > TA166 Human engineering T Technology > TA Engineering (General). Civil engineering (General) > TA174 Engineering design
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering Kulliyyah of Engineering
Depositing User:	Dr. Aimi Shazwani Ghazali
Date Deposited:	16 Jul 2024 16:28
Last Modified:	16 Jul 2024 16:28
URI:	http://irep.iium.edu.my/id/eprint/113218

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