心智能力理论预测机器人凝视对物体偏好的影响

IF 11.3 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Affective Computing Pub Date : 2026-04-01 Epub Date: 2025-01-20 DOI:10.1109/TAFFC.2025.3531945
Federico Manzi;Mitsuhiko Ishikawa;Cinzia Di Dio;Shoji Itakura;Takayuki Kanda;Hiroshi Ishiguro;Davide Massaro;Antonella Marchetti
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引用次数: 0

摘要

本研究探讨了人类和机器人注视对偏好形成的影响,并探讨了心理理论能力在这一过程中的作用。人眼注视是社会交往中最重要的信息来源之一,研究表明它在影响人们的偏好方面是有效的。随着科技的不断发展,我们将与能够表现出凝视行为并影响人们偏好的机器人进行交互。目前还不清楚人类和机器人在这个过程中是否有什么不同。本研究旨在分析机器人和人的注视对注视者偏好归属和参与者偏好的影响。此外,我们还研究了ToM能力在偏好形成中的作用。结果表明,注视对注视者偏好的影响大于被试对注视者偏好的影响。此外,即使涉及到不同的社会认知机制,ToM能力也只能预测机器人条件下的凝视者和个人偏好。这项研究表明,成年人在认知上能够像人类一样处理机器人的凝视,识别潜在的精神状态。然而,仅就机器人而言,凝视者(即视角获取)和参与者的偏好形成(即高级ToM)涉及不同的认知机制。
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Theory of Mind Abilities Predict Robot's Gaze Effects on Object Preference
This study investigated the differences between human and robot gaze in influencing preference formation, and examined the role of Theory of Mind (ToM) abilities in this process. Human eye gaze is one of the most important sources of information for social interaction and research has demonstrated its effectiveness in influencing people's preference. With increasing technological development, we will interact with robots that can exhibit gaze behavior and influence people's preference. It is unclear whether there are any differences between humans and robots in this process. The present study aimed to analyze the role of the gaze of a robot and a human in influencing the ascription of a preference to the gazer and the participants’ preference. Furthermore, we examined the role of ToM abilities in preference formation. The results showed that the gaze has a greater effect on the gazer preference compared to participants’ preference regardless of the agent (human or robot). In addition, ToM abilities predict both gazer and individual preferences in the robot's condition only even though different socio-cognitive mechanisms are involved. The study suggests that adults are cognitively able to process the gaze of a robot similar to a human, recognizing the underlying mental state. However, only for the robot, different cognitive mechanisms are involved in the gazer (i.e., perspective taking) and participants’ preference formation (i.e., advanced ToM).
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来源期刊
IEEE Transactions on Affective Computing
IEEE Transactions on Affective Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
15.00
自引率
6.20%
发文量
174
期刊介绍: The IEEE Transactions on Affective Computing is an international and interdisciplinary journal. Its primary goal is to share research findings on the development of systems capable of recognizing, interpreting, and simulating human emotions and related affective phenomena. The journal publishes original research on the underlying principles and theories that explain how and why affective factors shape human-technology interactions. It also focuses on how techniques for sensing and simulating affect can enhance our understanding of human emotions and processes. Additionally, the journal explores the design, implementation, and evaluation of systems that prioritize the consideration of affect in their usability. We also welcome surveys of existing work that provide new perspectives on the historical and future directions of this field.
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