“I know how you feel”

Author:

Andriella Antonio1,Huertas-Garcia Ruben2,Forgas-Coll Santiago2,Torras Carme1,Alenyà Guillem1

Affiliation:

1. Institut de Robòtica i Informàtica Industrial

2. Universitat de Barcelona

Abstract

Abstract In this article, we aim to evaluate the role of robots’ personality-driven behavioural patterns on users’ intention to use in an entertainment scenario. Toward such a goal, we designed two personalities: one introverted with an empathic and self-comparative interaction style, and the other extroverted with a provocative and other-comparative interaction style. To evaluate the proposed technology acceptance model, we conducted an experiment (N = 209) at a public venue where users were requested to play a game with the support of the TIAGo robot. Our findings show that the robot personality affects the acceptance model and three relevant drivers: perceived enjoyment, perceived usefulness, and social influence. The extroverted robot was perceived as more useful than the introverted, and participants who interacted with it were faster at solving the game. On the other hand, the introverted robot was perceived as more enjoyable but less useful than the extroverted, and participants who interacted with it made fewer mistakes. Taken together, these findings support the importance of designing proper robot personalities in influencing users’ acceptance, featuring that a given style can elicit a different driver of acceptance.

Publisher

John Benjamins Publishing Company

Subject

Human-Computer Interaction,Linguistics and Language,Animal Science and Zoology,Language and Linguistics,Communication

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Personality- and Memory-Based Software Framework for Human-Robot Interaction;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Towards Explainable Proactive Robot Interactions for Groups of People in Unstructured Environments;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

3. Introducing Social Robots to Assess Frailty in Older Adults;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

4. Review of Meredith, Giles & Stommel (2022): Analysing Digital Interaction;Revista Española de Lingüística Aplicada/Spanish Journal of Applied Linguistics;2023-11-27

5. Impact of Artificial Intelligence on Marketing Research;Advances in Human and Social Aspects of Technology;2023-10-16

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