Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse
Humans increasingly use automated decision aids. However, environmental uncertainty means that automated advice can be incorrect, creating the potential for humans to action incorrect advice or to disregard correct advice. We present a quantitative model of the cognitive process by which humans use...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Published: |
SAGE
2021
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| Online Access: | http://purl.org/au-research/grants/arc/DP160100575 http://hdl.handle.net/20.500.11937/83207 |
| _version_ | 1848764563075366912 |
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| author | Strickland, Luke Heathcote, Andrew Bowden, Vanessa Boag, Russell Wilson, Micah Khan, Samha Loft, Shayne |
| author_facet | Strickland, Luke Heathcote, Andrew Bowden, Vanessa Boag, Russell Wilson, Micah Khan, Samha Loft, Shayne |
| author_sort | Strickland, Luke |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Humans increasingly use automated decision aids. However, environmental uncertainty means that automated advice can be incorrect, creating the potential for humans to action incorrect advice or to disregard correct advice. We present a quantitative model of the cognitive process by which humans use automation when deciding whether aircraft would violate minimum separation. The model closely fitted the performance of twenty-four participants, whom each made 2400 conflict detection decisions (conflict vs non-conflict), either manually (with no assistance) or with the assistance of 90% reliable automation. When the decision aid was correct, conflict detection accuracy improved, but when the decision aid was incorrect, accuracy and response time were impaired. The model indicated that participants integrated advice into their decision process by inhibiting evidence accumulation toward the task response incongruent with that advice, thereby ensuring that decisions could not be made solely on automated advice without first sampling information from the task environment. |
| first_indexed | 2025-11-14T11:21:20Z |
| format | Journal Article |
| id | curtin-20.500.11937-83207 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:21:20Z |
| publishDate | 2021 |
| publisher | SAGE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-832072023-10-26T02:57:27Z Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse Strickland, Luke Heathcote, Andrew Bowden, Vanessa Boag, Russell Wilson, Micah Khan, Samha Loft, Shayne Humans increasingly use automated decision aids. However, environmental uncertainty means that automated advice can be incorrect, creating the potential for humans to action incorrect advice or to disregard correct advice. We present a quantitative model of the cognitive process by which humans use automation when deciding whether aircraft would violate minimum separation. The model closely fitted the performance of twenty-four participants, whom each made 2400 conflict detection decisions (conflict vs non-conflict), either manually (with no assistance) or with the assistance of 90% reliable automation. When the decision aid was correct, conflict detection accuracy improved, but when the decision aid was incorrect, accuracy and response time were impaired. The model indicated that participants integrated advice into their decision process by inhibiting evidence accumulation toward the task response incongruent with that advice, thereby ensuring that decisions could not be made solely on automated advice without first sampling information from the task environment. 2021 Journal Article http://hdl.handle.net/20.500.11937/83207 10.1177/09567976211012676 http://purl.org/au-research/grants/arc/DP160100575 SAGE fulltext |
| spellingShingle | Strickland, Luke Heathcote, Andrew Bowden, Vanessa Boag, Russell Wilson, Micah Khan, Samha Loft, Shayne Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse |
| title | Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse |
| title_full | Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse |
| title_fullStr | Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse |
| title_full_unstemmed | Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse |
| title_short | Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse |
| title_sort | inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse |
| url | http://purl.org/au-research/grants/arc/DP160100575 http://hdl.handle.net/20.500.11937/83207 |