Personal Space Intrusion in Human-Robot Collaboration

Stark, Jessi; Mota, Roberta R.C.; Sharlin, Ehud

doi:10.1145/3173386.3176998

Cited by 19 publications

(16 citation statements)

References 23 publications

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“…They discuss the factors that influence human-robot proximity and human comfort in human-approaching-robot and robot-approaching-human contexts [62]. In human-robot collaborative tasks, Stark et al conducted a study to evaluate how comfort changes when the robot reaches into the human's personal space at different distances and urgency levels [63].…”

Section: Human-robot Proximitymentioning

confidence: 99%

“…Robot sociability has also been identified as a factor influencing human-robot interaction [61], where robots are regarded as "social entities" to interact with humans socially while they work together. From the social science perspective, the amount of robot smiling, eye contact, and the appearance of robots usually result in different feelings, including happiness, sadness, fatigue, nervousness, and worry, of human partners about the robots [67].…”

Section: Robot Sociabilitymentioning

confidence: 99%

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Learning and Comfort in Human–Robot Interaction: A Review

Wang

Chen

et al. 2019

Applied Sciences

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Collaborative robots provide prospective and great solutions to human–robot cooperative tasks. In this paper, we present a comprehensive review for two significant topics in human–robot interaction: robots learning from demonstrations and human comfort. The collaboration quality between the human and the robot has been improved largely by taking advantage of robots learning from demonstrations. Human teaching and robot learning approaches with their corresponding applications are investigated in this review. We also discuss several important issues that need to be paid attention to and addressed in the human–robot teaching–learning process. After that, the factors that may affect human comfort in human–robot interaction are described and discussed. Moreover, the measures utilized to improve human acceptance of robots and human comfort in human–robot interaction are also presented and discussed.

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Section: Human-robot Proximitymentioning

confidence: 99%

Section: Robot Sociabilitymentioning

confidence: 99%

Learning and Comfort in Human–Robot Interaction: A Review

Wang

Chen

et al. 2019

Applied Sciences

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“…A decreased distance increases the mental workload and discomfort of a person, but the effects of speed are less clear. 39,40 Similar to mobile robotics, the influence of size of the robot on comfort and mental workload are not clearly established.…”

Section: Robot Armsmentioning

confidence: 99%

Evaluating the use of human aware navigation in industrial robot arms

2019

Artificial Intelligence, Robots and Ethics

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Whilst the principles followed by modern standards for interaction between humans and robots follows the First Law of Robotics popularised in science fiction in the 1960's, the current standards regulating the interaction between humans and robots emphasise the importance of physical safety. However, they are less developed in another key dimension: psychological safety. As sales of industrial robots have been increasing over recent years, so has the frequency of Human-Robot Interaction (HRI). The present paper looks at the current safety guidelines for HRI in an industrial setting and assesses their suitability. The paper then presents a means to improve current standards utilising lessons learned from studies into Human Aware Navigation, which has seen increasing use in mobile robotics. The paper highlights the importance of considering a human not only as an object whose position needs to be refreshed, but to incorporate knowledge of human cognition in order to predict human behaviour. To understand this, it is necessary to focus less on how a robot avoids humans and more on how humans react when a robot is within the same space. Currently, the safety guidelines are behind the technological advance, however, with further studies aimed at understanding HRI and applying it to newly developed pathfinding and obstacle avoidance methods, interaction can move closer to cooperation.

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“…In order to respect the space acquired by a human [9], his/her behavior has to be observed. An activity space is formed by the human while engaged in a certain activity [10].…”

Section: Introductionmentioning

confidence: 99%

A probabilistic evaluation of human activity space for proactive approach behavior of a social robot

Sirithunge

Bandara

Jayasekara

et al. 2020

Paladyn, Journal of Behavioral Robotics

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Intelligent robot companions contribute significantly to improve the living standards of people in the modern society. Therefore, humanlike decision-making skills are sought after during the design of such robots. On the one hand, such features enable the robot to be easily handled by its human user. On the other hand, the robot will have the capability of dealing with humans without disturbing them by its behavior. Perception of Behavioral Ontology prior to an interaction is an important aspect in this regard. Furthermore, humans make an instant evaluation of task-related movements of others before approaching them. In this article, we present a mechanism to monitor how the activity space is utilized by a particular user on a temporal basis as an ontological assessment of the situation and then determine an appropriate approach behavior for a proactive robot to initiate an interaction with its user. This evaluation was then used to determine appropriate proxemic behavior to approach that person. The usage of activity space varies depending on the task of an individual. We used a probabilistic approach to find the areas that are the most and least likely to be occupied within the activity space of a particular individual during various tasks. As the robot approaches its subject after analyzing the spatial behavior of the subject within his/her activity space, spatial constraints occurred as a result of which robot’s movement could be demolished. Hence, a more socially acceptable spatial behavior could be observed from the robot. In other words, an etiquette based on approach behavior is derived considering the user’s activity space. Experiment results used to validate the system are presented, and critical observations during the study and implications are discussed.

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Personal Space Intrusion in Human-Robot Collaboration

Cited by 19 publications

References 23 publications

Learning and Comfort in Human–Robot Interaction: A Review

Learning and Comfort in Human–Robot Interaction: A Review

Evaluating the use of human aware navigation in industrial robot arms

A probabilistic evaluation of human activity space for proactive approach behavior of a social robot

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