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Toward Optimal Human-Machine Collaboration: A Unified Framework for Equitably Comparing the Robustness of Human and Machine Visual Heading Perception.

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Title: Toward Optimal Human-Machine Collaboration: A Unified Framework for Equitably Comparing the Robustness of Human and Machine Visual Heading Perception.
Authors: Wei, Yue1,2 (AUTHOR) yweiaj@szu.edu.cn, Wang, Yuqian3 (AUTHOR), Liu, Shikuang1,4 (AUTHOR), Zhang, Nevin L.2 (AUTHOR), Yan, Luximon5 (AUTHOR), Sheng, Jiabao6 (AUTHOR)
Source: International Journal of Human-Computer Interaction. May2026, p1-20. 20p. 6 Illustrations.
Database: Business Source Ultimate
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  Availability: 0
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 193707186
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Toward Optimal Human-Machine Collaboration: A Unified Framework for Equitably Comparing the Robustness of Human and Machine Visual Heading Perception.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. May2026, p1-20. 20p. 6 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=193707186
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/10447318.2026.2663071
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      – Code: eng
        Text: English
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        PageCount: 20
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      – TitleFull: Toward Optimal Human-Machine Collaboration: A Unified Framework for Equitably Comparing the Robustness of Human and Machine Visual Heading Perception.
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          Name:
            NameFull: Wei, Yue
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            NameFull: Wang, Yuqian
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            NameFull: Liu, Shikuang
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            NameFull: Zhang, Nevin L.
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            NameFull: Yan, Luximon
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            NameFull: Sheng, Jiabao
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            – D: 12
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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