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For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human
Objective: The last decades have seen a surge of robots for physical training and work assistance. How to best control these interfaces is unknown, although arguably the interaction should be similar to human movement assistance. Methods: We compare the behaviour and assessment of subjects tracking...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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IEEE
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8974791/ https://www.ncbi.nlm.nih.gov/pubmed/35402952 http://dx.doi.org/10.1109/OJEMB.2020.2987885 |
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collection | PubMed |
description | Objective: The last decades have seen a surge of robots for physical training and work assistance. How to best control these interfaces is unknown, although arguably the interaction should be similar to human movement assistance. Methods: We compare the behaviour and assessment of subjects tracking a moving target with assistance from (i) trajectory guidance (as typically used in robots for physical training), (ii) a human partner, and (iii) the reactive robot partner of Takagi et al. Results: Trajectory guidance was recognised as robotic, while the robot partner was felt as human-like. However, trajectory guidance was preferred to assistance from a human partner, which was recognised as less predictable. The robot partner also was felt to be more predictable and helpful than a human partner, and was preferred. Conclusions: While subjects like to rely on predictable interaction, such as in trajectory guidance, the control reactivity of the robot partner is essential for perceiving an interaction as human-like. |
format | Online Article Text |
id | pubmed-8974791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | IEEE |
record_format | MEDLINE/PubMed |
spelling | pubmed-89747912022-04-07 For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human IEEE Open J Eng Med Biol Article Objective: The last decades have seen a surge of robots for physical training and work assistance. How to best control these interfaces is unknown, although arguably the interaction should be similar to human movement assistance. Methods: We compare the behaviour and assessment of subjects tracking a moving target with assistance from (i) trajectory guidance (as typically used in robots for physical training), (ii) a human partner, and (iii) the reactive robot partner of Takagi et al. Results: Trajectory guidance was recognised as robotic, while the robot partner was felt as human-like. However, trajectory guidance was preferred to assistance from a human partner, which was recognised as less predictable. The robot partner also was felt to be more predictable and helpful than a human partner, and was preferred. Conclusions: While subjects like to rely on predictable interaction, such as in trajectory guidance, the control reactivity of the robot partner is essential for perceiving an interaction as human-like. IEEE 2020-04-16 /pmc/articles/PMC8974791/ /pubmed/35402952 http://dx.doi.org/10.1109/OJEMB.2020.2987885 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human |
title | For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human |
title_full | For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human |
title_fullStr | For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human |
title_full_unstemmed | For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human |
title_short | For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human |
title_sort | for motion assistance humans prefer to rely on a robot rather than on an unpredictable human |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8974791/ https://www.ncbi.nlm.nih.gov/pubmed/35402952 http://dx.doi.org/10.1109/OJEMB.2020.2987885 |
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