Enhancing Decision-Making Based on Social Responses for Human-Robot Interactions (HRI) Applications


  • Muhammad Hariz Hafizalshah Department of Mechatronics Engineering, International Islamic University Malaysia, Jln. Gombak. 53100 Kuala Lumpur, Malaysia
  • Aimi Shazwani Ghazali Department of Mechatronics Engineering, International Islamic University Malaysia, Jln. Gombak. 53100 Kuala Lumpur, Malaysia
  • Shahrul Na'im Sidek Department of Mechatronics Engineering, International Islamic University Malaysia, Jln. Gombak. 53100 Kuala Lumpur, Malaysia
  • Hazlina Md. Yusof Department of Mechatronics Engineering, International Islamic University Malaysia, Jln. Gombak. 53100 Kuala Lumpur, Malaysia




Decision-making, Human-Robot Interaction (HRI), Social responses, Verbal Social Cues, Acceptance


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. 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 Interactions (HRI) and provides valuable insights for future developments in social robots for decision-making support.


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How to Cite

M. H. . Hafizalshah, A. S. Ghazali, S. N. . Sidek, and H. . Md. Yusof, “Enhancing Decision-Making Based on Social Responses for Human-Robot Interactions (HRI) Applications”, Mekatronika: J. Intell. Manuf. Mechatron., vol. 6, no. 1, pp. 7–18, Mar. 2024.



Original Article