Investigating the Integration of Human-Like and Machine-Like Robot Behaviors in a Shared Elevator Scenario

IF 4.2 Q2 ROBOTICS

ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568162.3576974

Danilo Gallo, P. Bioche, J. Willamowski, T. Colombino, Shreepriya Gonzalez-Jimenez, Herve Poirier, Cécile Boulard

引用次数: 0

Abstract

This paper examines the advantages and disadvantages of combining Human-Like and Machine-Like behaviors for a robot taking a shared elevator with a bystander as part of an office delivery service scenario. We present findings of an in-person wizard-of-oz experiment that builds on and implements behavior policies developed in a previous study. In this experiment, we found that the combination of Machine-Like and Human-Like behaviors was perceived as better than Human-Like behaviors alone. We discuss possible reasons and point to key capabilities that a socially competent robot should have to achieve better Human-Like behaviors in order to seamlessly negotiate a social encounter with bystanders in a shared elevator or similar scenario. We found that establishing and maintaining a shared transactional space is one of these key requirements.

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研究共享电梯场景中类人与类机器机器人行为的集成

本文研究了在办公递送服务场景中，机器人与旁观者乘坐共享电梯时，将类人行为与类机器行为相结合的优缺点。我们提出了一项基于并实施先前研究中制定的行为政策的现场巫师实验的发现。在这个实验中，我们发现类机器行为和类人行为的结合被认为比单独的类人行为更好。我们讨论了可能的原因，并指出了具有社交能力的机器人应该具备的关键能力，以实现更好的类人行为，以便在共享电梯或类似场景中无缝地与旁观者进行社交接触。我们发现，建立和维护共享事务空间是这些关键需求之一。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.