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Usage Intention of ChatGPT for Health in Turkey: An Extended Technology Acceptance Model.

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Title: Usage Intention of ChatGPT for Health in Turkey: An Extended Technology Acceptance Model.
Authors: Argan, Metin (AUTHOR), Gürbüz, Bülent (AUTHOR), Dursun, Mehmet Tahir (AUTHOR), Dinç, Halime (AUTHOR), Tokay Argan, Mehpare (AUTHOR)
Source: International Journal of Human-Computer Interaction. Aug2025, Vol. 41 Issue 15, p9492-9504. 13p.
Subjects: ChatGPT, Technology Acceptance Model, Public health, Trust, Social influence, User experience
Geographic Terms: Turkey
Abstract: The use of ChatGPT is spreading rapidly in the world. Although studies on the use of ChatGPT in healthcare are widespread, there have been very few studies examining ChatGPT technology in the context of the extended technology acceptance model (TAM), particularly from the perspective of end users. This study aims to investigate users' perspectives on utilizing ChatGPT in acquiring health information, employing the extended TAM that encompasses social influence, trust, and perceived surprise factors. The data were collected from a total of 1135 ChatGPT users in Turkey, a developing country, using convenience sampling. Confirmatory factor analyses and structural equation modeling were applied. Findings revealed that the variables affected each other within both TAM and extended TAM models. While focusing on health consumers' experiences with the use of ChatGPT is referred as the novelty of the study, it provides new insights into the use of ChatGPT in health-based research from the user's perspective. [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: Usage Intention of ChatGPT for Health in Turkey: An Extended Technology Acceptance Model.
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  Data: <searchLink fieldCode="AR" term="%22Argan%2C+Metin%22">Argan, Metin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gürbüz%2C+Bülent%22">Gürbüz, Bülent</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dursun%2C+Mehmet+Tahir%22">Dursun, Mehmet Tahir</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dinç%2C+Halime%22">Dinç, Halime</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tokay+Argan%2C+Mehpare%22">Tokay Argan, Mehpare</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>. Aug2025, Vol. 41 Issue 15, p9492-9504. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink><br /><searchLink fieldCode="DE" term="%22Trust%22">Trust</searchLink><br /><searchLink fieldCode="DE" term="%22Social+influence%22">Social influence</searchLink><br /><searchLink fieldCode="DE" term="%22User+experience%22">User experience</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Turkey%22">Turkey</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The use of ChatGPT is spreading rapidly in the world. Although studies on the use of ChatGPT in healthcare are widespread, there have been very few studies examining ChatGPT technology in the context of the extended technology acceptance model (TAM), particularly from the perspective of end users. This study aims to investigate users' perspectives on utilizing ChatGPT in acquiring health information, employing the extended TAM that encompasses social influence, trust, and perceived surprise factors. The data were collected from a total of 1135 ChatGPT users in Turkey, a developing country, using convenience sampling. Confirmatory factor analyses and structural equation modeling were applied. Findings revealed that the variables affected each other within both TAM and extended TAM models. While focusing on health consumers' experiences with the use of ChatGPT is referred as the novelty of the study, it provides new insights into the use of ChatGPT in health-based research from the user's perspective. [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: 10.1080/10447318.2024.2426045
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 9492
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      – SubjectFull: ChatGPT
        Type: general
      – SubjectFull: Technology Acceptance Model
        Type: general
      – SubjectFull: Public health
        Type: general
      – SubjectFull: Trust
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      – SubjectFull: Social influence
        Type: general
      – SubjectFull: User experience
        Type: general
      – SubjectFull: Turkey
        Type: general
    Titles:
      – TitleFull: Usage Intention of ChatGPT for Health in Turkey: An Extended Technology Acceptance Model.
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            NameFull: Argan, Metin
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            NameFull: Gürbüz, Bülent
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            NameFull: Dursun, Mehmet Tahir
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            NameFull: Dinç, Halime
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            NameFull: Tokay Argan, Mehpare
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              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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