Design of Hesitation Gestures for Nonverbal Human-Robot Negotiation of Conflicts

Author:

Moon Ajung1,Hashmi Maneezhay2,Loos H. F. Machiel Van Der2,Croft Elizabeth A.3,Billard Aude4

Affiliation:

1. McGill University, Montreal, QC, Canada

2. University of British Columbia, Vancouver BC, Canada

3. Monash University, Australia

4. Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

Abstract

When the question of who should get access to a communal resource first is uncertain, people often negotiate via nonverbal communication to resolve the conflict. What should a robot be programmed to do when such conflicts arise in Human-Robot Interaction? The answer to this question varies depending on the context of the situation. Learning from how humans use hesitation gestures to negotiate a solution in such conflict situations, we present a human-inspired design of nonverbal hesitation gestures that can be used for Human-Robot Negotiation. We extracted characteristic features of such negotiative hesitations humans use, and subsequently designed a trajectory generator (Negotiative Hesitation Generator) that can re-create the features in robot responses to conflicts. Our human-subjects experiment demonstrates the efficacy of the designed robot behaviour against non-negotiative stopping behaviour of a robot. With positive results from our human-robot interaction experiment, we provide a validated trajectory generator with which one can explore the dynamics of human-robot nonverbal negotiation of resource conflicts.

Funder

Natural Sciences and Engineering Council, Canada

EU project AlterEgo

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Human-Computer Interaction

Reference39 articles.

1. Deliberate delays during robot-to-human handovers improve compliance with gaze communication

2. Amazon.com. 2016. Amazon Mechanical Turk: Artificial Artificial Intelligence. Retrieved from https://www.mturk.com/mturk/welcome. Amazon.com. 2016. Amazon Mechanical Turk: Artificial Artificial Intelligence. Retrieved from https://www.mturk.com/mturk/welcome.

3. Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A drop of light: an interactive new media art investigation of human-technology symbiosis;Humanities and Social Sciences Communications;2024-06-03

2. Robot-Assisted Decision-Making: Unveiling the Role of Uncertainty Visualisation and Embodiment;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. Power in Human-Robot Interaction;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

4. Exploring Preferences in Human-Robot Navigation Plan Proposal Representation;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

5. Learning to generate pointing gestures in situated embodied conversational agents;Frontiers in Robotics and AI;2023-03-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3