The Role of Frustration in Human–Robot Interaction – What Is Needed for a Successful Collaboration?

Author:

Weidemann Alexandra,Rußwinkel Nele

Abstract

To realize a successful and collaborative interaction between human and robots remains a big challenge. Emotional reactions of the user provide crucial information for a successful interaction. These reactions carry key factors to prevent errors and fatal bidirectional misunderstanding. In cases where human–machine interaction does not proceed as expected, negative emotions, like frustration, can arise. Therefore, it is important to identify frustration in a human–machine interaction and to investigate its impact on other influencing factors such as dominance, sense of control and task performance. This paper presents a study that investigates a close cooperative work situation between human and robot, and explore the influence frustration has on the interaction. The task for the participants was to hand over colored balls to two different robot systems (an anthropomorphic robot and a robotic arm). The robot systems had to throw the balls into appropriate baskets. The coordination between human and robot was controlled by various gestures and words by means of trial and error. Participants were divided into two groups, a frustration- (FRUST) and a no frustration- (NOFRUST) group. Frustration was induced by the behavior of the robotic systems which made errors during the ball handover. Subjective and objective methods were used. The sample size of participants was N = 30 and the study was conducted in a between-subject design. Results show clear differences in perceived frustration in the two condition groups and different behavioral interactions were shown by the participants. Furthermore, frustration has a negative influence on interaction factors such as dominance and sense of control. The study provides important information concerning the influence of frustration on human–robot interaction (HRI) for the requirements of a successful, natural, and social HRI. The results (qualitative and quantitative) are discussed in favor of how a successful und effortless interaction between human and robot can be realized and what relevant factors, like appearance of the robot and influence of frustration on sense of control, have to be regarded.

Funder

Technische Universität Berlin

Bundesministerium für Bildung und Forschung

Publisher

Frontiers Media SA

Subject

General Psychology

Reference94 articles.

1. Trust, satisfaction and frustration measurements during human-robot interaction;Abd;Proceedings of the 30th Florida Conference on Recent Advances in RoboticsMay 11-12, 2107,2017

2. Frustration Theory

3. Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots.;Bartneck;Int. J. Soc. Robot.,2009

4. To kill a mockingbird robot;Bartneck;Proceedings of the ACM/IEEE International Conference on Human-robot Interaction,2007

5. Chapter 15 - Affective human–robot interaction;Beer;Emotions and Affect in Human Factors and Human-Computer Interaction,2017

Cited by 25 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. Effect of human emotional responses on human-robot team pty in construction;Automation in Construction;2024-10

2. Let’s Get Physical: The Influence of Embodiment on Industrial Human-Robot Interaction;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2024-08-12

3. Charting User Experience in Physical Human–Robot Interaction;ACM Transactions on Human-Robot Interaction;2024-06-28

4. Towards a User-Centered Design Approach for the Development of Social Assistive Robots in Office Environments;Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments;2024-06-26

5. Play it by Ear: A perceptual algorithm for autonomous melodious piano playing with a bio-inspired robotic hand;2024-06-06

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