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Heuristic thinking and altruism toward machines in people impacted by COVID-19

Autonomous machines are poised to become pervasive, but most treat machines differently: we are willing to violate social norms and less likely to display altruism toward machines. Here, we report an unexpected effect that those impacted by COVID-19—as measured by a post-traumatic stress disorder sc...

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Detalles Bibliográficos
Autores principales: de Melo, Celso M., Gratch, Jonathan, Krueger, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901281/
https://www.ncbi.nlm.nih.gov/pubmed/33644708
http://dx.doi.org/10.1016/j.isci.2021.102228
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author de Melo, Celso M.
Gratch, Jonathan
Krueger, Frank
author_facet de Melo, Celso M.
Gratch, Jonathan
Krueger, Frank
author_sort de Melo, Celso M.
collection PubMed
description Autonomous machines are poised to become pervasive, but most treat machines differently: we are willing to violate social norms and less likely to display altruism toward machines. Here, we report an unexpected effect that those impacted by COVID-19—as measured by a post-traumatic stress disorder scale—show a sharp reduction in this difference. Participants engaged in the dictator game with humans and machines and, consistent with prior research on disasters, those impacted by COVID-19 displayed more altruism to other humans. Unexpectedly, participants impacted by COVID-19 displayed equal altruism toward human and machine partners. A mediation analysis suggests that altruism toward machines was explained by an increase in heuristic thinking—reinforcing prior theory that heuristic thinking encourages people to treat machines like people—and faith in technology—perhaps reflecting long-term consequences on how we act with machines. These findings give insight, but also raise concerns, for the design of technology.
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spelling pubmed-79012812021-02-24 Heuristic thinking and altruism toward machines in people impacted by COVID-19 de Melo, Celso M. Gratch, Jonathan Krueger, Frank iScience Article Autonomous machines are poised to become pervasive, but most treat machines differently: we are willing to violate social norms and less likely to display altruism toward machines. Here, we report an unexpected effect that those impacted by COVID-19—as measured by a post-traumatic stress disorder scale—show a sharp reduction in this difference. Participants engaged in the dictator game with humans and machines and, consistent with prior research on disasters, those impacted by COVID-19 displayed more altruism to other humans. Unexpectedly, participants impacted by COVID-19 displayed equal altruism toward human and machine partners. A mediation analysis suggests that altruism toward machines was explained by an increase in heuristic thinking—reinforcing prior theory that heuristic thinking encourages people to treat machines like people—and faith in technology—perhaps reflecting long-term consequences on how we act with machines. These findings give insight, but also raise concerns, for the design of technology. Elsevier 2021-02-23 /pmc/articles/PMC7901281/ /pubmed/33644708 http://dx.doi.org/10.1016/j.isci.2021.102228 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Melo, Celso M.
Gratch, Jonathan
Krueger, Frank
Heuristic thinking and altruism toward machines in people impacted by COVID-19
title Heuristic thinking and altruism toward machines in people impacted by COVID-19
title_full Heuristic thinking and altruism toward machines in people impacted by COVID-19
title_fullStr Heuristic thinking and altruism toward machines in people impacted by COVID-19
title_full_unstemmed Heuristic thinking and altruism toward machines in people impacted by COVID-19
title_short Heuristic thinking and altruism toward machines in people impacted by COVID-19
title_sort heuristic thinking and altruism toward machines in people impacted by covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901281/
https://www.ncbi.nlm.nih.gov/pubmed/33644708
http://dx.doi.org/10.1016/j.isci.2021.102228
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