Wang Xinxiang, Li Zihan, Wang Songyang, Yang Yiming, Peng Yibo, Fu Changzeng
HACI, Sydney Smart Technology College, Northeastern University, Shenyang, China.
Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao, China.
Front Robot AI. 2024 Jul 15;11:1399012. doi: 10.3389/frobt.2024.1399012. eCollection 2024.
In recent years, there has been a significant growth in research on emotion expression in the field of human-robot interaction. In the process of human-robot interaction, the effect of the robot's emotional expression determines the user's experience and acceptance. Gaze is widely accepted as an important media to express emotions in human-human interaction. But it has been found that users have difficulty in effectively recognizing emotions such as happiness and anger expressed by animaloid robots that use eye contact individually. In addition, in real interaction, effective nonverbal expression includes not only eye contact but also physical expression. However, current animaloid social robots consider human-like eyes as the main emotion expression pathway, which results in a dysfunctional robot appearance and behavioral approach, affecting the quality of emotional expression. Based on retaining the effectiveness of eyes for emotional communication, we added a mechanical tail as a physical expression to enhance the robot's emotional expression in concert with the eyes. The results show that the collaboration between the mechanical tail and the bionic eye enhances emotional expression in all four emotions. Further more, we found that the mechanical tail can enhance the expression of specific emotions with different parameters. The above study is conducive to enhancing the robot's emotional expression ability in human-robot interaction and improving the user's interaction experience.
近年来,人机交互领域中关于情感表达的研究有了显著增长。在人机交互过程中,机器人情感表达的效果决定了用户的体验和接受度。在人际互动中,目光被广泛认为是表达情感的重要媒介。但研究发现,用户难以有效识别单独使用眼神交流的类人机器人所表达的诸如高兴和愤怒等情绪。此外,在实际互动中,有效的非言语表达不仅包括眼神交流,还包括肢体表达。然而,当前的类人社交机器人将类人眼睛视为主要的情感表达途径,这导致机器人的外观和行为方式存在功能失调,影响了情感表达的质量。基于保留眼睛在情感交流中的有效性,我们增加了一条机械尾巴作为肢体表达,以与眼睛协同增强机器人的情感表达。结果表明,机械尾巴和仿生眼之间的协作增强了所有四种情绪的情感表达。此外,我们发现机械尾巴可以通过不同参数增强特定情绪的表达。上述研究有助于提高人机交互中机器人的情感表达能力,改善用户的交互体验。