Human computer interaction research through the lens of a bibliometric analysis

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Abstract

Human Computing Interaction (HCI) is an expansive research field that covers various disciplines from computer science and engineering to human factors and social science. Navigating in this multidisciplinary field researchers and developers intensively seek to master the capability to understand the dialogue between humans and computers, reflect on the behaviour change caused by this interaction and encapsulate their knowledge to design, develop and maintain systems. Our paper aims to put in context and highlight the research done on the HCI field so far. To do so we choose a method that can provide a well-carved piece of literature and assure legitimacy in the representation of the research, i.e. a bibliometric analysis. Following this research path, we retrieved a data set of 962 publications covering the period from 1969 to early 2017. The analysis revealed a core set of forty-six articles structuring four main factors of HCI. Preliminary analysis highlights HCI design aspects, data management, user interaction, psychology and cognition and more recent trends in HCI in the workplace, sensors and wearables.

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APA

Koumaditis, K., & Hussain, T. (2017). Human computer interaction research through the lens of a bibliometric analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10271, pp. 23–37). Springer Verlag. https://doi.org/10.1007/978-3-319-58071-5_2

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