Choosing the Task Allocator: Effect on Performance and Satisfaction in Human-Agent Team
Ad hoc human-agent teams, where team members interact without prior experience with teammates and only for a limited number of interactions, will be commonplace in dynamic environments with opportunity windows for collaboration between diverse groups. We study the efficacy of virtual ad-hoc teams, c...
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| Format: | Article |
| Language: | English |
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LibraryPress@UF
2023-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/133310 |
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| author | Sami Abuhaimed Selim Karaoglu Sandip Sen |
| author_facet | Sami Abuhaimed Selim Karaoglu Sandip Sen |
| author_sort | Sami Abuhaimed |
| collection | DOAJ |
| description | Ad hoc human-agent teams, where team members interact without prior experience with teammates and only for a limited number of interactions, will be commonplace in dynamic environments with opportunity windows for collaboration between diverse groups. We study the efficacy of virtual ad-hoc teams, consisting of a human and an agent, collaborating to complete tasks in each of a few episodes. To maximize team potential, the relative expertise of team members must be measured and utilized in allocating tasks. As team members are not initially aware of each other's task competence and as humans often cannot accurately estimate their competencies, adapting allocation over the episodes is critical to team performance. Human team member satisfaction with allocations is also critical to determining team viability. We therefore use both these criteria to measure the effectiveness of task allocation procedures with varying degree of flexibility and human teammate control: (a) alternating, (b) performance adaptive, (c) agent-guided, (d) human-selected. We report on the relative strengths of these allocation procedures based on results from experiments with MTurk workers. |
| format | Article |
| id | doaj-art-17b7e27073e94946a0176b5045ea7d87 |
| institution | OA Journals |
| issn | 2334-0754 2334-0762 |
| language | English |
| publishDate | 2023-05-01 |
| publisher | LibraryPress@UF |
| record_format | Article |
| series | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| spelling | doaj-art-17b7e27073e94946a0176b5045ea7d872025-08-20T01:52:22ZengLibraryPress@UFProceedings of the International Florida Artificial Intelligence Research Society Conference2334-07542334-07622023-05-013610.32473/flairs.36.13331069616Choosing the Task Allocator: Effect on Performance and Satisfaction in Human-Agent TeamSami Abuhaimed0https://orcid.org/0009-0001-2230-9856Selim Karaoglu1Sandip Sen2https://orcid.org/0000-0001-6107-4095The University of TulsaThe University of TulsaThe University of TulsaAd hoc human-agent teams, where team members interact without prior experience with teammates and only for a limited number of interactions, will be commonplace in dynamic environments with opportunity windows for collaboration between diverse groups. We study the efficacy of virtual ad-hoc teams, consisting of a human and an agent, collaborating to complete tasks in each of a few episodes. To maximize team potential, the relative expertise of team members must be measured and utilized in allocating tasks. As team members are not initially aware of each other's task competence and as humans often cannot accurately estimate their competencies, adapting allocation over the episodes is critical to team performance. Human team member satisfaction with allocations is also critical to determining team viability. We therefore use both these criteria to measure the effectiveness of task allocation procedures with varying degree of flexibility and human teammate control: (a) alternating, (b) performance adaptive, (c) agent-guided, (d) human-selected. We report on the relative strengths of these allocation procedures based on results from experiments with MTurk workers.https://journals.flvc.org/FLAIRS/article/view/133310 |
| spellingShingle | Sami Abuhaimed Selim Karaoglu Sandip Sen Choosing the Task Allocator: Effect on Performance and Satisfaction in Human-Agent Team Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| title | Choosing the Task Allocator: Effect on Performance and Satisfaction in Human-Agent Team |
| title_full | Choosing the Task Allocator: Effect on Performance and Satisfaction in Human-Agent Team |
| title_fullStr | Choosing the Task Allocator: Effect on Performance and Satisfaction in Human-Agent Team |
| title_full_unstemmed | Choosing the Task Allocator: Effect on Performance and Satisfaction in Human-Agent Team |
| title_short | Choosing the Task Allocator: Effect on Performance and Satisfaction in Human-Agent Team |
| title_sort | choosing the task allocator effect on performance and satisfaction in human agent team |
| url | https://journals.flvc.org/FLAIRS/article/view/133310 |
| work_keys_str_mv | AT samiabuhaimed choosingthetaskallocatoreffectonperformanceandsatisfactioninhumanagentteam AT selimkaraoglu choosingthetaskallocatoreffectonperformanceandsatisfactioninhumanagentteam AT sandipsen choosingthetaskallocatoreffectonperformanceandsatisfactioninhumanagentteam |