Literature DB >> 33501311

Acceptance of Industrial Collaborative Robots by People With Disabilities in Sheltered Workshops.

Sandra Drolshagen1, Max Pfingsthorn1, Pascal Gliesche2, Andreas Hein1,2,3.   

Abstract

The integration of people with disabilities into the working world is an important, yet challenging field of research. While different inclusion efforts exist, people with disabilities are still under-represented in the open labor market. This paper investigates the approach of using a collaborative robot arm to support people with disabilities with their reintegration into the workplace. However, there is currently little literature about the acceptance of an industrial robot by people with disabilities and in cases where a robot leads to stress, fear, or any other form of discomfort, this approach is not feasible. For this reason, a first user study was performed in a sheltered workshop to investigate the acceptance of a robot arm by workers with disabilities. As a first step in this underdeveloped field, two main aspects were covered. Firstly, the reaction and familiarization to the robot arm within a study situation was closely examined in order to separate any effects that were not caused by the moving robot. Secondly, the reaction toward the robot arm during collaboration was investigated. In doing so, five different distances between the robot arm and the participants were considered to make collaboration in the workplace as pleasant as possible. The results revealed that it took the participants about 20 min to get used to the situation, while the robot was immediately accepted very well and did not cause fear or discomfort at any time. Surprisingly, in some cases, short distances were accepted even better than the larger distances. For these reasons, the presented approach showed to promise for future investigations.
Copyright © 2021 Drolshagen, Pfingsthorn, Gliesche and Hein.

Entities:  

Keywords:  acceptance; disabled; human-robot collaboration; inclusion; robotics; sheltered workshop

Year:  2021        PMID: 33501311      PMCID: PMC7831153          DOI: 10.3389/frobt.2020.541741

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


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