The benefits of automation transparency are dependent on human attention control capacity.
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| Title: | The benefits of automation transparency are dependent on human attention control capacity. |
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| Authors: | Gegoff I; The University of Western Australia, Australia. Electronic address: isabella.gegoff@uwa.edu.au., Tatasciore M; The University of Western Australia, Australia., Bowden VK; The University of Western Australia, Australia., Loft S; The University of Western Australia, Australia. Electronic address: shayne.loft@uwa.edu.au. |
| Source: | Applied ergonomics [Appl Ergon] 2025 Nov; Vol. 129, pp. 104619. Date of Electronic Publication: 2025 Aug 11. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Butterworth-Heinemann Country of Publication: England NLM ID: 0261412 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-9126 (Electronic) Linking ISSN: 00036870 NLM ISO Abbreviation: Appl Ergon Subsets: MEDLINE |
| Imprint Name(s): | Publication: Oxford : Butterworth-Heinemann Original Publication: London. |
| MeSH Terms: | Attention* , Automation* , Decision Making* , Man-Machine Systems*, Humans ; Male ; Female ; Adult ; Young Adult ; Task Performance and Analysis ; User-Computer Interface |
| Abstract: | Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Increasing automation transparency can improve human decision-making by facilitating appropriate reliance on automated advice. Individual differences in human information processing capacity, or attention control capacity (ACC), may determine how effectively transparency information can be processed and used. We examined the extent to which ACC moderates the relationship between increased transparency provision and accuracy of automation use. Participants completed a simulated uninhabited vehicle (UV) task and were provided automated advice regarding which UV to select to complete missions, accompanied by either no, medium, or high automation transparency. Participants with higher ACC benefitted more from the provision of increased transparency. Specifically, transparency increased the accuracy of automation use for participants with higher ACC, but did not benefit participants with lower ACC. These findings indicate that human ability to effectively process and use transparency information may be dependent on their ACC, which may have implications for interface design, and operator selection and training. (Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.) |
| Contributed Indexing: | Keywords: Attention control; Automation transparency; Individual differences; Uninhabited vehicle control |
| Entry Date(s): | Date Created: 20250812 Date Completed: 20250910 Latest Revision: 20250910 |
| Update Code: | 20250911 |
| DOI: | 10.1016/j.apergo.2025.104619 |
| PMID: | 40795581 |
| Database: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstract: | Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br />Increasing automation transparency can improve human decision-making by facilitating appropriate reliance on automated advice. Individual differences in human information processing capacity, or attention control capacity (ACC), may determine how effectively transparency information can be processed and used. We examined the extent to which ACC moderates the relationship between increased transparency provision and accuracy of automation use. Participants completed a simulated uninhabited vehicle (UV) task and were provided automated advice regarding which UV to select to complete missions, accompanied by either no, medium, or high automation transparency. Participants with higher ACC benefitted more from the provision of increased transparency. Specifically, transparency increased the accuracy of automation use for participants with higher ACC, but did not benefit participants with lower ACC. These findings indicate that human ability to effectively process and use transparency information may be dependent on their ACC, which may have implications for interface design, and operator selection and training.<br /> (Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.) |
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| ISSN: | 1872-9126 |
| DOI: | 10.1016/j.apergo.2025.104619 |