Pipitone Arianna, Chella Antonio
Department of Engineering, University of Palermo, Viale delle Scienze, Palermo, Italy.
ICAR CNR, Via Ugo La Malfa, Palermo, Italy.
iScience. 2021 Apr 21;24(4):102371. doi: 10.1016/j.isci.2021.102371. eCollection 2021 Apr 23.
The inner speech is thoroughly studied in humans, and it represents an interdisciplinary research issue involving psychology, neuroscience, and pedagogy. A few papers only, mostly theoretical, analyze the role of inner speech in robots. The present study investigates the potential of the robot's inner speech while cooperating with human partners. A cognitive architecture is designed and integrated with standard robot routines into a complex framework. Two threads of interaction are discussed by setting the robot operations with and without inner speech. Thanks to the robotic self-dialog, the partner can easily trace the robot's processes. Moreover, the robot can better solve conflicts leading to successful goal achievements. The results show that functional and transparency requirements, according to the international standards ISO/TS:2016 and COMEST/Unesco for collaborative robots, are better met when inner speech accompanies human-robot interaction. The inner speech could be applied in many robotics contexts, such as learning, regulation, and attention.
内部言语在人类中得到了深入研究,它是一个涉及心理学、神经科学和教育学的跨学科研究问题。只有少数几篇论文,大多是理论性的,分析了内部言语在机器人中的作用。本研究探讨了机器人在与人类伙伴合作时内部言语的潜力。设计了一种认知架构,并将其与标准机器人程序集成到一个复杂的框架中。通过设置有内部言语和无内部言语的机器人操作,讨论了两条交互线索。由于机器人的自我对话,伙伴可以轻松追踪机器人的过程。此外,机器人能够更好地解决冲突,从而成功实现目标。结果表明,当内部言语伴随人机交互时,根据国际标准ISO/TS:2016和COMEST/联合国教科文组织对协作机器人的功能和透明度要求能够得到更好的满足。内部言语可应用于许多机器人场景,如学习、调节和注意力方面。