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The Usability of Neural Machine Translation in Creative-Text Post-Editing: Evidence from Users' Performance and Perception.

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Title: The Usability of Neural Machine Translation in Creative-Text Post-Editing: Evidence from Users' Performance and Perception.
Authors: Li, Xiaoye (AUTHOR), Wang, Xiangling (AUTHOR), Lai, Wentian (AUTHOR)
Source: International Journal of Human-Computer Interaction. Nov2025, Vol. 41 Issue 21, p13792-13803. 12p.
Subjects: Machine translating, Satisfaction, Proofreading, User experience, User-centered system design, Professional competence
Abstract: Recent developments in translation technologies can help neural machine translation (NMT) to generate high-quality translation. This study aims to investigate the usability of NMT in creative-text post-editing with evidence from users' performance and perception. Based on the concept of usability and prior research, we developed an NMT usability assessment framework including three dimensions – efficiency, effectiveness, and satisfaction. By analysing data of three dimensions collected from key logging, screen recording, questionnaires, and retrospective interviews, we found that using NMT in creative-text post-editing (or MTPE) was significantly more efficient and yielded higher acceptability than human translation. Most participants hold a positive yet cautious attitude toward the usability of NMT. It suggests that MTPE as a type of human-computer interaction shows excellent potential in producing a high-quality creative-text translation efficiently. However, the study also reveals the limitations of using NMT in translating creative texts and raises both ethical and legal concerns regarding plagiarism. [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: The Usability of Neural Machine Translation in Creative-Text Post-Editing: Evidence from Users' Performance and Perception.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Xiaoye%22">Li, Xiaoye</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xiangling%22">Wang, Xiangling</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lai%2C+Wentian%22">Lai, Wentian</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>. Nov2025, Vol. 41 Issue 21, p13792-13803. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Machine+translating%22">Machine translating</searchLink><br /><searchLink fieldCode="DE" term="%22Satisfaction%22">Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Proofreading%22">Proofreading</searchLink><br /><searchLink fieldCode="DE" term="%22User+experience%22">User experience</searchLink><br /><searchLink fieldCode="DE" term="%22User-centered+system+design%22">User-centered system design</searchLink><br /><searchLink fieldCode="DE" term="%22Professional+competence%22">Professional competence</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Recent developments in translation technologies can help neural machine translation (NMT) to generate high-quality translation. This study aims to investigate the usability of NMT in creative-text post-editing with evidence from users' performance and perception. Based on the concept of usability and prior research, we developed an NMT usability assessment framework including three dimensions – efficiency, effectiveness, and satisfaction. By analysing data of three dimensions collected from key logging, screen recording, questionnaires, and retrospective interviews, we found that using NMT in creative-text post-editing (or MTPE) was significantly more efficient and yielded higher acceptability than human translation. Most participants hold a positive yet cautious attitude toward the usability of NMT. It suggests that MTPE as a type of human-computer interaction shows excellent potential in producing a high-quality creative-text translation efficiently. However, the study also reveals the limitations of using NMT in translating creative texts and raises both ethical and legal concerns regarding plagiarism. [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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      – Type: doi
        Value: 10.1080/10447318.2025.2476714
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      – Code: eng
        Text: English
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        PageCount: 12
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      – SubjectFull: Machine translating
        Type: general
      – SubjectFull: Satisfaction
        Type: general
      – SubjectFull: Proofreading
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      – SubjectFull: User experience
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      – SubjectFull: User-centered system design
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              M: 11
              Text: Nov2025
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