Cochet Hélène, Guidetti Michèle
CLLE, Université de Toulouse, CNRS, UT2J, Toulouse, France.
Front Psychol. 2018 Oct 19;9:1992. doi: 10.3389/fpsyg.2018.01992. eCollection 2018.
Children exchange information through multiple modalities, including verbal communication, gestures and social gaze and they gradually learn to plan their behavior and coordinate successfully with their partners. The development of joint attention and joint action, especially in the context of social play, provides rich opportunities for describing the characteristics of interactions that can lead to shared outcomes. In the present work, we argue that human-robot interactions (HRI) can benefit from these developmental studies, through influencing the human's perception and interpretation of the robot's behavior. We thus endeavor to describe some components that could be implemented in the robot to strengthen the feeling of dealing with a social agent, and therefore improve the success of collaborative tasks. Focusing in particular on motor precision, coordination, and anticipatory planning, we discuss the question of complexity in HRI. In the context of joint activities, we highlight the necessity of (1) considering multiple speech acts involving multimodal communication (both verbal and non-verbal signals), and (2) analyzing separately the forms and functions of communication. Finally, we examine some challenges related to robot competencies, such as the issue of language and symbol grounding, which might be tackled by bringing together expertise of researchers in developmental psychology and robotics.
儿童通过多种方式交流信息,包括言语沟通、手势和社交凝视,并且他们逐渐学会规划自己的行为并与伙伴成功协作。共同注意和共同行动的发展,尤其是在社交游戏的背景下,为描述能够带来共同成果的互动特征提供了丰富的机会。在当前的研究中,我们认为人机交互(HRI)可以从这些发展性研究中受益,通过影响人类对机器人行为的感知和解读。因此,我们努力描述一些可以在机器人中实现的组件,以增强与社交主体互动的感觉,从而提高协作任务的成功率。特别关注运动精度、协调性和预期规划,我们讨论了人机交互中的复杂性问题。在共同活动的背景下,我们强调了以下两点的必要性:(1)考虑涉及多模态沟通(包括言语和非言语信号)的多种言语行为;(2)分别分析沟通的形式和功能。最后,我们研究了与机器人能力相关的一些挑战,例如语言和符号基础的问题,这可能需要结合发展心理学和机器人学领域研究人员的专业知识来解决。