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Toward Quantifying Trust Dynamics: How People Adjust Their Trust After Moment-to-Moment Interaction With Automation
OBJECTIVE: We examine how human operators adjust their trust in automation as a result of their moment-to-moment interaction with automation. BACKGROUND: Most existing studies measured trust by administering questionnaires at the end of an experiment. Only a limited number of studies viewed trust as...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374998/ https://www.ncbi.nlm.nih.gov/pubmed/34459266 http://dx.doi.org/10.1177/00187208211034716 |
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author | Yang, X. Jessie Schemanske, Christopher Searle, Christine |
author_facet | Yang, X. Jessie Schemanske, Christopher Searle, Christine |
author_sort | Yang, X. Jessie |
collection | PubMed |
description | OBJECTIVE: We examine how human operators adjust their trust in automation as a result of their moment-to-moment interaction with automation. BACKGROUND: Most existing studies measured trust by administering questionnaires at the end of an experiment. Only a limited number of studies viewed trust as a dynamic variable that can strengthen or decay over time. METHOD: Seventy-five participants took part in an aided memory recognition task. In the task, participants viewed a series of images and later on performed 40 trials of the recognition task to identify a target image when it was presented with a distractor. In each trial, participants performed the initial recognition by themselves, received a recommendation from an automated decision aid, and performed the final recognition. After each trial, participants reported their trust on a visual analog scale. RESULTS: Outcome bias and contrast effect significantly influence human operators’ trust adjustments. An automation failure leads to a larger trust decrement if the final outcome is undesirable, and a marginally larger trust decrement if the human operator succeeds the task by him/herself. An automation success engenders a greater trust increment if the human operator fails the task. Additionally, automation failures have a larger effect on trust adjustment than automation successes. CONCLUSION: Human operators adjust their trust in automation as a result of their moment-to-moment interaction with automation. Their trust adjustments are significantly influenced by decision-making heuristics/biases. APPLICATION: Understanding the trust adjustment process enables accurate prediction of the operators’ moment-to-moment trust in automation and informs the design of trust-aware adaptive automation. |
format | Online Article Text |
id | pubmed-10374998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-103749982023-07-29 Toward Quantifying Trust Dynamics: How People Adjust Their Trust After Moment-to-Moment Interaction With Automation Yang, X. Jessie Schemanske, Christopher Searle, Christine Hum Factors Automation, Expert Systems OBJECTIVE: We examine how human operators adjust their trust in automation as a result of their moment-to-moment interaction with automation. BACKGROUND: Most existing studies measured trust by administering questionnaires at the end of an experiment. Only a limited number of studies viewed trust as a dynamic variable that can strengthen or decay over time. METHOD: Seventy-five participants took part in an aided memory recognition task. In the task, participants viewed a series of images and later on performed 40 trials of the recognition task to identify a target image when it was presented with a distractor. In each trial, participants performed the initial recognition by themselves, received a recommendation from an automated decision aid, and performed the final recognition. After each trial, participants reported their trust on a visual analog scale. RESULTS: Outcome bias and contrast effect significantly influence human operators’ trust adjustments. An automation failure leads to a larger trust decrement if the final outcome is undesirable, and a marginally larger trust decrement if the human operator succeeds the task by him/herself. An automation success engenders a greater trust increment if the human operator fails the task. Additionally, automation failures have a larger effect on trust adjustment than automation successes. CONCLUSION: Human operators adjust their trust in automation as a result of their moment-to-moment interaction with automation. Their trust adjustments are significantly influenced by decision-making heuristics/biases. APPLICATION: Understanding the trust adjustment process enables accurate prediction of the operators’ moment-to-moment trust in automation and informs the design of trust-aware adaptive automation. SAGE Publications 2021-08-29 2023-08 /pmc/articles/PMC10374998/ /pubmed/34459266 http://dx.doi.org/10.1177/00187208211034716 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Automation, Expert Systems Yang, X. Jessie Schemanske, Christopher Searle, Christine Toward Quantifying Trust Dynamics: How People Adjust Their Trust After Moment-to-Moment Interaction With Automation |
title | Toward Quantifying Trust Dynamics: How People Adjust Their Trust After Moment-to-Moment Interaction With Automation |
title_full | Toward Quantifying Trust Dynamics: How People Adjust Their Trust After Moment-to-Moment Interaction With Automation |
title_fullStr | Toward Quantifying Trust Dynamics: How People Adjust Their Trust After Moment-to-Moment Interaction With Automation |
title_full_unstemmed | Toward Quantifying Trust Dynamics: How People Adjust Their Trust After Moment-to-Moment Interaction With Automation |
title_short | Toward Quantifying Trust Dynamics: How People Adjust Their Trust After Moment-to-Moment Interaction With Automation |
title_sort | toward quantifying trust dynamics: how people adjust their trust after moment-to-moment interaction with automation |
topic | Automation, Expert Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374998/ https://www.ncbi.nlm.nih.gov/pubmed/34459266 http://dx.doi.org/10.1177/00187208211034716 |
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