College of Literature and Journalism, Sichuan University, Chengdu, China; Convergence Laboratory of Chinese Cultural Inheritance and Global Communication, Sichuan University, Chengdu, China; School of Design, The Hong Kong Polytechnic University, Hung Hom, Hong Kong Special Administrative Region of China.
Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China.
Appl Ergon. 2023 May;109:103967. doi: 10.1016/j.apergo.2023.103967. Epub 2023 Feb 1.
Following the evolution of technology and its application in various daily contexts, social robots work as an advanced artificial intelligence (AI) system to interact with humans. However, limited research has been done to discuss the role of emotional expressions and contextual cues in influencing anthropomorphic trustworthiness, especially from the design perspective. To address this research gap, the current study designed a specific robot prototype and conducted two lab experiments to explore the effect of emotional expressions and contextual cues on trustworthiness via a combination of subjective ratings and physiological measures. Results showed that: 1) positive (vs. negative) emotional expressions enjoyed a higher level of anthropomorphic trustworthiness and visual attention; 2) regulatory fit was expanded in parasocial interaction and worked as a prime to activate anthropomorphic trustworthiness for social robots. Theoretical contributions and design implications were also discussed in this study.
随着技术的发展及其在各种日常情境中的应用,社交机器人作为一种先进的人工智能(AI)系统与人类互动。然而,目前关于情感表达和语境线索如何影响类人可信性的研究还很有限,特别是从设计的角度来看。为了解决这一研究空白,本研究设计了一个特定的机器人原型,并通过主观评价和生理测量相结合的方法进行了两项实验室实验,以探讨情感表达和语境线索对可信性的影响。结果表明:1)积极(而非消极)的情感表达会获得更高水平的类人可信性和视觉关注;2)心理调节匹配在准社会互动中得到扩展,并作为一种启动因素激活社交机器人的类人可信性。本研究还讨论了理论贡献和设计启示。