Psychological evaluations of robot motions

Shibata, Satoru; Inooka, Hikaru

doi:10.1016/s0169-8141(97)00004-8

Cited by 37 publications

(17 citation statements)

References 2 publications

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“…Most studies used real scenarios where the users only observed robots and did not interact with them. Those were scenarios in which the robots performed specific movements or tasks in front of the users, such as moving from point to point [Shibata and Inooka 1998] or manipulating objects close to the users [Kulić and Croft 2007]. Some studies did involve the users in an interaction task with real robots [Huber et al 2008], but they were often performed to assess the efficiency of the system, and not the acceptability.…”

Section: Related Workmentioning

confidence: 99%

“…The most common tool to evaluate acceptability is to use questionnaires. Different kinds of questionnaires exist in the literature: some of them focus on the robot's attributes [Shibata and Inooka 1998] (humanlike, pleasant, interesting...), while others focus on the user's emotions [Nonaka et al 2004] (surprise, fear...). Bartneck et al [Bartneck et al 2009] performed a complete review on questionnaires about human-robot interaction and proposed their own questionnaires intended to be used by the community of robot developers.…”

Section: Related Workmentioning

confidence: 99%

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A methodology to assess the acceptability of human-robot collaboration using virtual reality

Weistroffer¹,

Paljic²,

Callebert³

et al. 2013

Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology

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Robots are becoming more and more present in our everyday life: they are already used for domestic tasks, for companionship activities, and soon they will be used to assist humans and collaborate with them in their work. Human-robot collaboration has already been studied in the industry, for ergonomics and efficiency purposes, but more from a safety than from an acceptability point of view. In this work, we focused on how people perceive robots in a collaboration task and we proposed to use virtual reality as a simulation environment to test different parameters, by making users collaborate with virtual robots. A simple use case was implemented to compare different robot appearances and different robot movements. Questionnaires and physiological measures were used to assess the acceptability level of each condition with a user study. The results showed that the perception of robot movements depended on robot appearance and that a more anthropomorphic robot, both in its appearance and movements, was not necessarily better accepted by the users in a collaboration task. Finally, this preliminary use case was also the opportunity to guarantee the relevance of using such a methodology -based on virtual reality, questionnaires and physiological measures -for future studies.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A methodology to assess the acceptability of human-robot collaboration using virtual reality

Weistroffer¹,

Paljic²,

Callebert³

et al. 2013

Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology

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show abstract

“…When coexisting with humans and support them, robots need to be instructed to move by humans without burden, and the motion should not to instigate anxiety but to be accepted to human psychology [1]- [3]. Therefore, with regard to humanrobot interface, instruction methods should be simple and be able to transmit intention of users to robots correctly.…”

Section: Introduction)mentioning

confidence: 99%

Kansei Behavior of Robots Following Instruction of Human

Shibata¹,

Yamamoto²,

Wu³

2016

IJSMM

Self Cite

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Abstract-When coexisting with humans and support them, robots need to be instructed to move by humans without burden, and the motion should not to instigate anxiety but to be accepted to human psychology. To realize Kansei behavior of robots following instruction of human, the concept of "Kansei transfer function", which can add softness and smoothness to robots, is explained, and the effectiveness of its applications to humanrobot interfaces is confirmed from psychological aspects.Index Terms-Kansei behavior, Kansei transfer function, Instruction of human.

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“…To ensure that the efficiency of the overall system is as high as possible, it is necessary that the human operator feels comfortable in the presence of the robot. Several studies examined the effect of different acceptance and performance influencing factors within human-robot interaction (HRI), such as: appearance of the robot [1], robot speed or distance between the robot and the human partner [2] as well as the robot's motion behavior [3] [4]. According to Thiemermann, the robot's trajectory, specifically of its Tool Center Point (TCP), has an impact on the human operator [5].…”

Section: Introductionmentioning

confidence: 99%

Directly or on detours? How should industrial robots approximate humans?

Bortot

Born

Bengler

2013

2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

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Growing interest in industrial human-robot interaction (HRI) applications makes it necessary to look deeper into the design of systems, where humans collaborate, interact, or at least coexist with industrial robots. This study investigates the influence of the trajectory of an industrial robot's Tool Center Point (TCP) on user well-being as well as human performance in the cooperative scenario HRI. Therefore, a study with a total of 19 participants was conducted. The subjects had to perform several tasks (visually interacting with the robot and performing an audio n-back task), while the robot made different motions in their vicinity. Results show that variable, i.e. non predictable, robot motions lead to reduced human well-being and performance. Consequently, non-predictable motions are not suited for use in HRI. Well-being and performance can be enhanced if the robot moves directly on a straight line from start to finish.

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Psychological evaluations of robot motions

Cited by 37 publications

References 2 publications

A methodology to assess the acceptability of human-robot collaboration using virtual reality

A methodology to assess the acceptability of human-robot collaboration using virtual reality

Kansei Behavior of Robots Following Instruction of Human

Directly or on detours? How should industrial robots approximate humans?

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