Operator selection for human-automation teaming: The role of manual task skill in predicting automation failure intervention.
Humans working in modern work systems are increasingly required to supervise task automation. We examined whether manual aircraft conflict detection skill predicted participants’ ability to respond to conflict detection automation failures in simulated air traffic control. In a conflict discriminati...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
2024
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| Online Access: | http://purl.org/au-research/grants/arc/DP160100575 http://hdl.handle.net/20.500.11937/94834 |
| _version_ | 1848765936173056000 |
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| author | Griffiths, Natalie Bowden, Vanessa K Wee, Serena Strickland, Luke Loft, Shayne |
| author_facet | Griffiths, Natalie Bowden, Vanessa K Wee, Serena Strickland, Luke Loft, Shayne |
| author_sort | Griffiths, Natalie |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Humans working in modern work systems are increasingly required to supervise task automation. We examined whether manual aircraft conflict detection skill predicted participants’ ability to respond to conflict detection automation failures in simulated air traffic control. In a conflict discrimination task (to assess manual skill), participants determined whether pairs of aircraft were in conflict or not by judging their relative-arrival time at common intersection points. Then in a simulated air traffic control task, participants supervised automation which either partially or fully detected and resolved conflicts on their behalf. Automation supervision required participants to detect when automation may have failed and effectively intervene. When automation failed, participants who had better manual conflict detection skill were faster and more accurate to intervene. However, a substantial proportion of variance in failure intervention was not explained by manual conflict detection skill, potentially reflecting that future research should consider other cognitive skills underlying automation supervision. |
| first_indexed | 2025-11-14T11:43:10Z |
| format | Journal Article |
| id | curtin-20.500.11937-94834 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:43:10Z |
| publishDate | 2024 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-948342024-04-17T06:53:36Z Operator selection for human-automation teaming: The role of manual task skill in predicting automation failure intervention. Griffiths, Natalie Bowden, Vanessa K Wee, Serena Strickland, Luke Loft, Shayne Humans working in modern work systems are increasingly required to supervise task automation. We examined whether manual aircraft conflict detection skill predicted participants’ ability to respond to conflict detection automation failures in simulated air traffic control. In a conflict discrimination task (to assess manual skill), participants determined whether pairs of aircraft were in conflict or not by judging their relative-arrival time at common intersection points. Then in a simulated air traffic control task, participants supervised automation which either partially or fully detected and resolved conflicts on their behalf. Automation supervision required participants to detect when automation may have failed and effectively intervene. When automation failed, participants who had better manual conflict detection skill were faster and more accurate to intervene. However, a substantial proportion of variance in failure intervention was not explained by manual conflict detection skill, potentially reflecting that future research should consider other cognitive skills underlying automation supervision. 2024 Journal Article http://hdl.handle.net/20.500.11937/94834 10.1016/j.apergo.2024.104288 http://purl.org/au-research/grants/arc/DP160100575 http://purl.org/au-research/grants/arc/FT190100812 http://purl.org/au-research/grants/arc/DE230100171 http://creativecommons.org/licenses/by/4.0/ fulltext |
| spellingShingle | Griffiths, Natalie Bowden, Vanessa K Wee, Serena Strickland, Luke Loft, Shayne Operator selection for human-automation teaming: The role of manual task skill in predicting automation failure intervention. |
| title | Operator selection for human-automation teaming: The role of manual task skill in predicting automation failure intervention. |
| title_full | Operator selection for human-automation teaming: The role of manual task skill in predicting automation failure intervention. |
| title_fullStr | Operator selection for human-automation teaming: The role of manual task skill in predicting automation failure intervention. |
| title_full_unstemmed | Operator selection for human-automation teaming: The role of manual task skill in predicting automation failure intervention. |
| title_short | Operator selection for human-automation teaming: The role of manual task skill in predicting automation failure intervention. |
| title_sort | operator selection for human-automation teaming: the role of manual task skill in predicting automation failure intervention. |
| url | http://purl.org/au-research/grants/arc/DP160100575 http://purl.org/au-research/grants/arc/DP160100575 http://purl.org/au-research/grants/arc/DP160100575 http://hdl.handle.net/20.500.11937/94834 |