Perception-Intention-Action Cycle as a Human Acceptable Way for Improving Human-Robot Collaborative Tasks

IF 4.2 Q2 ROBOTICS

ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568294.3580149

J. E. Domínguez-Vidal, Nicolás Rodríguez, A. Sanfeliu

引用次数: 0

Abstract

In Human-Robot Collaboration (HRC) tasks, the classical Perception-Action cycle can not fully explain the collaborative behaviour of the human-robot pair until it is extended to Perception-Intention-Action (PIA) cycle, giving to the human's intention a key role at the same level of the robot's perception and not as a subblock of this. Although part of the human's intention can be perceived or inferred by the other agent, this is prone to misunderstandings so the true intention has to be explicitly informed in some cases to fulfill the task. Here, we explore both types of intention and we combine them with the robot's perception through the concept of Situation Awareness (SA). We validate the PIA cycle and its acceptance by the user with a preliminary experiment in an object transportation task showing that its usage can increase trust in the robot.

查看原文本刊更多论文

感知-意图-行动循环是改善人机协作任务的人类可接受方式

在人机协作(HRC)任务中，经典的感知-行动循环不能完全解释人机对的协作行为，直到将其扩展到感知-意图-行动(PIA)循环，使人的意图在机器人感知的同一层面上发挥关键作用，而不是作为其中的子块。尽管人类的部分意图可以被其他智能体感知或推断，但这很容易产生误解，因此在某些情况下，为了完成任务，必须明确告知真实意图。在这里，我们探讨了这两种类型的意图，并通过情境感知(SA)的概念将它们与机器人的感知结合起来。我们通过一个物体运输任务的初步实验验证了PIA周期及其被用户接受的程度，表明它的使用可以增加对机器人的信任。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence

CiteScore

7.70

自引率

5.90%

发文量

期刊介绍： ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.