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A Scientometric Analysis of User Experience: Exploring Evolution, Emerging Themes, and Impacts.

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Title: A Scientometric Analysis of User Experience: Exploring Evolution, Emerging Themes, and Impacts.
Authors: Bruni, Francesca (AUTHOR), Borghesi, Francesca (AUTHOR), Mancuso, Valentina (AUTHOR), Cipresso, Pietro (AUTHOR), Pedroli, Elisa (AUTHOR)
Source: International Journal of Human-Computer Interaction. Nov2025, Vol. 41 Issue 21, p13535-13554. 20p.
Subjects: User experience, Human-computer interaction, Customer experience, Citation networks, Technological innovations, Scientometrics, University research, Information processing
Abstract: This study examines the evolution of User Experience as a distinct field that emerged from human-computer interaction, analyzing 27,082 records dating back to 1985. Data were collected from the Web of Science Core Collection and examined using the R-tool for statistical analysis and visualization of co-citation networks, and CiteSpace for visualizing citation networks. Our analysis reveals a dynamic body of literature strongly influenced by engineering disciplines, with research progresses together with technological innovation. This development has gradually shifted researchers' attention toward human perception, as they address challenges posed by increasing technological complexity and rising user expectations regarding quality experience. Moreover, the field demonstrates promising opportunities in healthcare applications and shift from theoretical frameworks to practical implementations. This study represents the first comprehensive scientometric analysis of User Experience research, providing critical insights into its developmental trajectory across various domains and offering a valuable resource for understanding and advancing User Experience research. [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: A Scientometric Analysis of User Experience: Exploring Evolution, Emerging Themes, and Impacts.
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  Data: <searchLink fieldCode="AR" term="%22Bruni%2C+Francesca%22">Bruni, Francesca</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Borghesi%2C+Francesca%22">Borghesi, Francesca</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mancuso%2C+Valentina%22">Mancuso, Valentina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cipresso%2C+Pietro%22">Cipresso, Pietro</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pedroli%2C+Elisa%22">Pedroli, Elisa</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, p13535-13554. 20p.
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  Data: <searchLink fieldCode="DE" term="%22User+experience%22">User experience</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Customer+experience%22">Customer experience</searchLink><br /><searchLink fieldCode="DE" term="%22Citation+networks%22">Citation networks</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Scientometrics%22">Scientometrics</searchLink><br /><searchLink fieldCode="DE" term="%22University+research%22">University research</searchLink><br /><searchLink fieldCode="DE" term="%22Information+processing%22">Information processing</searchLink>
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  Label: Abstract
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  Data: This study examines the evolution of User Experience as a distinct field that emerged from human-computer interaction, analyzing 27,082 records dating back to 1985. Data were collected from the Web of Science Core Collection and examined using the R-tool for statistical analysis and visualization of co-citation networks, and CiteSpace for visualizing citation networks. Our analysis reveals a dynamic body of literature strongly influenced by engineering disciplines, with research progresses together with technological innovation. This development has gradually shifted researchers' attention toward human perception, as they address challenges posed by increasing technological complexity and rising user expectations regarding quality experience. Moreover, the field demonstrates promising opportunities in healthcare applications and shift from theoretical frameworks to practical implementations. This study represents the first comprehensive scientometric analysis of User Experience research, providing critical insights into its developmental trajectory across various domains and offering a valuable resource for understanding and advancing User Experience research. [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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        Value: 10.1080/10447318.2025.2474483
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        Text: English
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        Type: general
      – SubjectFull: Human-computer interaction
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      – SubjectFull: Customer experience
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              Text: Nov2025
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