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Communicative capital: a key resource for human–machine shared agency and collaborative capacity
In this work, we present a perspective on the role machine intelligence can play in supporting human abilities. In particular, we consider research in rehabilitation technologies such as prosthetic devices, as this domain requires tight coupling between human and machine. Taking an agent-based view...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338399/ https://www.ncbi.nlm.nih.gov/pubmed/37455836 http://dx.doi.org/10.1007/s00521-022-07948-1 |
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author | Mathewson, Kory W. Parker, Adam S. R. Sherstan, Craig Edwards, Ann L. Sutton, Richard S. Pilarski, Patrick M. |
author_facet | Mathewson, Kory W. Parker, Adam S. R. Sherstan, Craig Edwards, Ann L. Sutton, Richard S. Pilarski, Patrick M. |
author_sort | Mathewson, Kory W. |
collection | PubMed |
description | In this work, we present a perspective on the role machine intelligence can play in supporting human abilities. In particular, we consider research in rehabilitation technologies such as prosthetic devices, as this domain requires tight coupling between human and machine. Taking an agent-based view of such devices, we propose that human–machine collaborations have a capacity to perform tasks which is a result of the combined agency of the human and the machine. We introduce communicative capital as a resource developed by a human and a machine working together in ongoing interactions. Development of this resource enables the partnership to eventually perform tasks at a capacity greater than either individual could achieve alone. We then examine the benefits and challenges of increasing the agency of prostheses by surveying literature which demonstrates that building communicative resources enables more complex, task-directed interactions. The viewpoint developed in this article extends current thinking on how best to support the functional use of increasingly complex prostheses, and establishes insight toward creating more fruitful interactions between humans and supportive, assistive, and augmentative technologies. |
format | Online Article Text |
id | pubmed-10338399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer London |
record_format | MEDLINE/PubMed |
spelling | pubmed-103383992023-07-14 Communicative capital: a key resource for human–machine shared agency and collaborative capacity Mathewson, Kory W. Parker, Adam S. R. Sherstan, Craig Edwards, Ann L. Sutton, Richard S. Pilarski, Patrick M. Neural Comput Appl S.I : Human-aligned Reinforcement Learning for Autonomous Agents and Robots In this work, we present a perspective on the role machine intelligence can play in supporting human abilities. In particular, we consider research in rehabilitation technologies such as prosthetic devices, as this domain requires tight coupling between human and machine. Taking an agent-based view of such devices, we propose that human–machine collaborations have a capacity to perform tasks which is a result of the combined agency of the human and the machine. We introduce communicative capital as a resource developed by a human and a machine working together in ongoing interactions. Development of this resource enables the partnership to eventually perform tasks at a capacity greater than either individual could achieve alone. We then examine the benefits and challenges of increasing the agency of prostheses by surveying literature which demonstrates that building communicative resources enables more complex, task-directed interactions. The viewpoint developed in this article extends current thinking on how best to support the functional use of increasingly complex prostheses, and establishes insight toward creating more fruitful interactions between humans and supportive, assistive, and augmentative technologies. Springer London 2022-11-14 2023 /pmc/articles/PMC10338399/ /pubmed/37455836 http://dx.doi.org/10.1007/s00521-022-07948-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | S.I : Human-aligned Reinforcement Learning for Autonomous Agents and Robots Mathewson, Kory W. Parker, Adam S. R. Sherstan, Craig Edwards, Ann L. Sutton, Richard S. Pilarski, Patrick M. Communicative capital: a key resource for human–machine shared agency and collaborative capacity |
title | Communicative capital: a key resource for human–machine shared agency and collaborative capacity |
title_full | Communicative capital: a key resource for human–machine shared agency and collaborative capacity |
title_fullStr | Communicative capital: a key resource for human–machine shared agency and collaborative capacity |
title_full_unstemmed | Communicative capital: a key resource for human–machine shared agency and collaborative capacity |
title_short | Communicative capital: a key resource for human–machine shared agency and collaborative capacity |
title_sort | communicative capital: a key resource for human–machine shared agency and collaborative capacity |
topic | S.I : Human-aligned Reinforcement Learning for Autonomous Agents and Robots |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338399/ https://www.ncbi.nlm.nih.gov/pubmed/37455836 http://dx.doi.org/10.1007/s00521-022-07948-1 |
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