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Psychological assessment of AI-based decision support systems: tool development and expected benefits
This study aimed to develop an evaluation tool that assesses the use of AI-based decision support systems (DSSs) in professional practice from a human-centered perspective. Following the International Organization for Standardization, this perspective aims to ensure that the use of interactive techn...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561554/ https://www.ncbi.nlm.nih.gov/pubmed/37818430 http://dx.doi.org/10.3389/frai.2023.1249322 |
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author | Buschmeyer, Katharina Hatfield, Sarah Zenner, Julie |
author_facet | Buschmeyer, Katharina Hatfield, Sarah Zenner, Julie |
author_sort | Buschmeyer, Katharina |
collection | PubMed |
description | This study aimed to develop an evaluation tool that assesses the use of AI-based decision support systems (DSSs) in professional practice from a human-centered perspective. Following the International Organization for Standardization, this perspective aims to ensure that the use of interactive technologies improves users' psychological load experience and behavior, e.g., in the form of reduced stress experience or increased performance. Concomitantly, this perspective attempts to proactively prevent or detect and correct the potential negative effects of these technologies on user load, such as impaired satisfaction and engagement, as early as possible. Based on this perspective, we developed and validated a questionnaire instrument, the Psychological Assessment of AI-based DSSs (PAAI), for the user-centered evaluation of the use of AI-based DSSs in practice. In particular, the instrument considers central design characteristics of AI-based DSSs and the corresponding work situation, which have a significant impact on users' psychological load. The instrument was tested in two independent studies. In Study 1, N = 223 individuals were recruited. Based on the results of item and scale analyses and an exploratory factor analysis, the newly developed instrument was refined, and the final version was tested using a confirmatory factor analysis. Findings showed acceptable-to-good fit indices, confirming the factorial validity of the PAAI. This was confirmed in a second study, which had N = 471 participants. Again, the CFA yielded acceptable-to-good fit indices. The validity was further confirmed using convergent and criterion validity analyses. |
format | Online Article Text |
id | pubmed-10561554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105615542023-10-10 Psychological assessment of AI-based decision support systems: tool development and expected benefits Buschmeyer, Katharina Hatfield, Sarah Zenner, Julie Front Artif Intell Artificial Intelligence This study aimed to develop an evaluation tool that assesses the use of AI-based decision support systems (DSSs) in professional practice from a human-centered perspective. Following the International Organization for Standardization, this perspective aims to ensure that the use of interactive technologies improves users' psychological load experience and behavior, e.g., in the form of reduced stress experience or increased performance. Concomitantly, this perspective attempts to proactively prevent or detect and correct the potential negative effects of these technologies on user load, such as impaired satisfaction and engagement, as early as possible. Based on this perspective, we developed and validated a questionnaire instrument, the Psychological Assessment of AI-based DSSs (PAAI), for the user-centered evaluation of the use of AI-based DSSs in practice. In particular, the instrument considers central design characteristics of AI-based DSSs and the corresponding work situation, which have a significant impact on users' psychological load. The instrument was tested in two independent studies. In Study 1, N = 223 individuals were recruited. Based on the results of item and scale analyses and an exploratory factor analysis, the newly developed instrument was refined, and the final version was tested using a confirmatory factor analysis. Findings showed acceptable-to-good fit indices, confirming the factorial validity of the PAAI. This was confirmed in a second study, which had N = 471 participants. Again, the CFA yielded acceptable-to-good fit indices. The validity was further confirmed using convergent and criterion validity analyses. Frontiers Media S.A. 2023-09-25 /pmc/articles/PMC10561554/ /pubmed/37818430 http://dx.doi.org/10.3389/frai.2023.1249322 Text en Copyright © 2023 Buschmeyer, Hatfield and Zenner. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Buschmeyer, Katharina Hatfield, Sarah Zenner, Julie Psychological assessment of AI-based decision support systems: tool development and expected benefits |
title | Psychological assessment of AI-based decision support systems: tool development and expected benefits |
title_full | Psychological assessment of AI-based decision support systems: tool development and expected benefits |
title_fullStr | Psychological assessment of AI-based decision support systems: tool development and expected benefits |
title_full_unstemmed | Psychological assessment of AI-based decision support systems: tool development and expected benefits |
title_short | Psychological assessment of AI-based decision support systems: tool development and expected benefits |
title_sort | psychological assessment of ai-based decision support systems: tool development and expected benefits |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561554/ https://www.ncbi.nlm.nih.gov/pubmed/37818430 http://dx.doi.org/10.3389/frai.2023.1249322 |
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