User Experience in Museum for the Year 2019-2024: Bibliometric Analysis

The aim of this study is to analyse the bibliometric aspect of User Experience in museum literature from Scopus database whereby 486 papers were extracted. The study utilisedpublishing or perishing software to collect the data, while VOSviewer was used to visualise the data. Data analysis was also carried out using SPSS and Microsoft Excel. The publication of articles between 2019 to 2024. Most of the publications are from journals and conferences , mainly in English. Subject area most the research are Computer Science. The publication of articles between 2023 and 2024 increased to 98 articles in 2023 and this is the highest publication to date. Based on the analysis of the co-occurrence map of all keywords in the articles published, the keywords frequently used by the authors are User Experience/ UserExperiences (332), Museum/Museums (218) and Cultural Heritage/ Cultural Heritages (130). Most of the research related to User Experience in museum was conducted in China, Italy and United Kingdom and the researchers prefer multi-authored publications. Most of the research author are Koutsabsis, P (8), Hakkila, J (6) and Nikolakopoulou P (6)This study presents the history of scientific literature in user experience museum and will provide guidance for future research.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-05-07
DOI
https://doi.org/10.52783/jisem.v10i43s.8311
Primary Topic
Museums and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00
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article

User Experience in Museum for the Year 2019-2024: Bibliometric Analysis

Yoyon Efendi
Journal of Information Systems Engineering & Management
Museums and Cultural Heritage
article

User Experience in Museum for the Year 2019-2024: Bibliometric Analysis

Yoyon Efendi
article en

Abstract

The aim of this study is to analyse the bibliometric aspect of User Experience in museum literature from Scopus database whereby 486 papers were extracted. The study utilisedpublishing or perishing software to collect the data, while VOSviewer was used to visualise the data. Data analysis was also carried out using SPSS and Microsoft Excel. The publication of articles between 2019 to 2024. Most of the publications are from journals and conferences , mainly in English. Subject area most the research are Computer Science. The publication of articles between 2023 and 2024 increased to 98 articles in 2023 and this is the highest publication to date. Based on the analysis of the co-occurrence map of all keywords in the articles published, the keywords frequently used by the authors are User Experience/ UserExperiences (332), Museum/Museums (218) and Cultural Heritage/ Cultural Heritages (130). Most of the research related to User Experience in museum was conducted in China, Italy and United Kingdom and the researchers prefer multi-authored publications. Most of the research author are Koutsabsis, P (8), Hakkila, J (6) and Nikolakopoulou P (6)This study presents the history of scientific literature in user experience museum and will provide guidance for future research.

Journal of Information Systems Engineering & ManagementVol. 10(43s)
Openalex Percentile: Top 90%
Museums and Cultural Heritage
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User Experience in Museum for the Year 2019-2024: Bibliometric Analysis — Yoyon Efendi · Journal of Information Systems Engineering & Management (2025) | TGRS Research Map | TGRS