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Operator Augmentation for Improving Human Performance of Tasks With Uncertainties.

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Title: Operator Augmentation for Improving Human Performance of Tasks With Uncertainties.
Authors: Ahmadi, Mojtaba (AUTHOR), Salmanzadeh, Hamed (AUTHOR), Babamiri, Mohammad (AUTHOR), Heidarimoghadam, Rashid (AUTHOR), Farhadian, Maryam (AUTHOR)
Source: International Journal of Human-Computer Interaction. Sep2025, Vol. 41 Issue 17, p10799-10809. 11p.
Subjects: Augmented reality, Task performance, Psychological stress, Turbine blades, Visual perception, User-centered system design, Performance technology
Abstract: Frazing is a manual task in turbine blade manufacturing companies, in which the operators must discover and repair the defects of the workpieces. Such detection is so attention-demanding and time-consuming that the operators sometimes miss the defects, resulting in poor human performance and quality. Hence, this study aims to guide the operators with a systematic visual search using augmented reality (AR). For this purpose, an AR-based assistance system was built. To evaluate the system's usability and effectiveness, a user study was conducted on 24 skilled operators. The results showed that the performance of the augmented operators was enhanced as the task completion time and detection misses decreased using the AR tool by 11.6 and 100 percent, respectively. The mental workload declined significantly after using the AR system. The most prominent finding of this research is that the AR tool was quite effective in reducing mental fatigue and workload, leading to improved human performance in ever-changing tasks. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Operator Augmentation for Improving Human Performance of Tasks With Uncertainties.
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  Data: <searchLink fieldCode="AR" term="%22Ahmadi%2C+Mojtaba%22">Ahmadi, Mojtaba</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Salmanzadeh%2C+Hamed%22">Salmanzadeh, Hamed</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Babamiri%2C+Mohammad%22">Babamiri, Mohammad</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Heidarimoghadam%2C+Rashid%22">Heidarimoghadam, Rashid</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Farhadian%2C+Maryam%22">Farhadian, Maryam</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Sep2025, Vol. 41 Issue 17, p10799-10809. 11p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Augmented+reality%22">Augmented reality</searchLink><br /><searchLink fieldCode="DE" term="%22Task+performance%22">Task performance</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+stress%22">Psychological stress</searchLink><br /><searchLink fieldCode="DE" term="%22Turbine+blades%22">Turbine blades</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22User-centered+system+design%22">User-centered system design</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+technology%22">Performance technology</searchLink>
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  Label: Abstract
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  Data: Frazing is a manual task in turbine blade manufacturing companies, in which the operators must discover and repair the defects of the workpieces. Such detection is so attention-demanding and time-consuming that the operators sometimes miss the defects, resulting in poor human performance and quality. Hence, this study aims to guide the operators with a systematic visual search using augmented reality (AR). For this purpose, an AR-based assistance system was built. To evaluate the system's usability and effectiveness, a user study was conducted on 24 skilled operators. The results showed that the performance of the augmented operators was enhanced as the task completion time and detection misses decreased using the AR tool by 11.6 and 100 percent, respectively. The mental workload declined significantly after using the AR system. The most prominent finding of this research is that the AR tool was quite effective in reducing mental fatigue and workload, leading to improved human performance in ever-changing tasks. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/10447318.2024.2437237
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 10799
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      – SubjectFull: Augmented reality
        Type: general
      – SubjectFull: Task performance
        Type: general
      – SubjectFull: Psychological stress
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      – SubjectFull: Turbine blades
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      – SubjectFull: Visual perception
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      – SubjectFull: User-centered system design
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      – SubjectFull: Performance technology
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            NameFull: Ahmadi, Mojtaba
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            NameFull: Salmanzadeh, Hamed
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            NameFull: Babamiri, Mohammad
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              M: 09
              Text: Sep2025
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              Y: 2025
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