Virtual Reality and Artificial Intelligence in Mobile Computing and Applied Ergonomics: A Bibliometric and Content Analysis

Enebechi, Chidubem Nuela; Duffy, Vincent G.

doi:10.1007/978-3-030-49907-5_24

Cited by 2 publications

(2 citation statements)

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“…Thus, Lai et al [19] provided valuable insights in terms of article production, trends, and co-occurrence network of VR studies within the field of engineering. Another bibliometric study related to VR in CS field-specific was recently conducted by Enebechi and Duffy [20]. This study [21] focused on bibliometric analysis of VR and artificial intelligence (AI) articles in mobile computing and applied ergonomics.…”

Section: Background Of the Studymentioning

confidence: 99%

“…The majority of these related studies analyzed a small sample size, limiting the study, and cannot justify the generalization of their findings. For example, Pirker et al [3] analyzed 13 pieces of data, Lorenzo et al [17] revealed 18 articles, Lai et al [19] conducted bibliometric analysis on 274 articles, and Enebechi and Duffy [20] presented a content analysis of 8 papers. Our study took a different approach by analyzing more extensive data to discover more profound knowledge in the field.…”

Section: Background Of the Studymentioning

confidence: 99%

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Application of Virtual Reality in Computer Science Education: A Systemic Review Based on Bibliometric and Content Analysis Methods

et al. 2021

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This study investigated the role of virtual reality (VR) in computer science (CS) education over the last 10 years by conducting a bibliometric and content analysis of articles related to the use of VR in CS education. A total of 971 articles published in peer-reviewed journals and conferences were collected from Web of Science and Scopus databases to conduct the bibliometric analysis. Furthermore, content analysis was conducted on 39 articles that met the inclusion criteria. This study demonstrates that VR research for CS education was faring well around 2011 but witnessed low production output between the years 2013 and 2016. However, scholars have increased their contribution in this field recently, starting from the year 2017. This study also revealed prolific scholars contributing to the field. It provides insightful information regarding research hotspots in VR that have emerged recently, which can be further explored to enhance CS education. In addition, the quantitative method remains the most preferred research method, while the questionnaire was the most used data collection technique. Moreover, descriptive analysis was primarily used in studies on VR in CS education. The study concludes that even though scholars are leveraging VR to advance CS education, more effort needs to be made by stakeholders across countries and institutions. In addition, a more rigorous methodological approach needs to be employed in future studies to provide more evidence-based research output. Our future study would investigate the pedagogy, content, and context of studies on VR in CS education.

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Section: Background Of the Studymentioning

confidence: 99%