Implementation human-computer interaction on the Internet of Things Technologies: A bibliometric analysis

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2024-05-11

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Springer
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Inglês

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Resumo

Human-computer interaction has acquired a preponderant role in the domain of the Internet of Things, facilitating the creation of intuitive interfaces and improving user experiences. Despite this, there needs to be more secondary studies characterizing this domain's current state and conceptual structure, leading to a limited understanding of the field. A bibliometric analysis systematically examined 2106 articles published between 2008 and 2023 from Scopus and Web of Science. Publication metadata was analyzed using Bibliometrix and VOSviewer tools to determine significant trends and patterns in the domain. The study results indicate that the annual growth rate of publications was 41.88%, suggesting a growing interest in the field. China led in productivity and funding, followed by the U.S. and the European Union. The research spanned several disciplines, including computer science, engineering, and mathematics, with key research areas focusing on wearables, gamification, and edge computing. The study's main conclusion relates to this domain's rapid growth and multidisciplinary nature, emphasizing user-centered design to address human needs and provide intuitive interactions. It was found that, as the Internet of Things becomes more widespread, human-computer interaction is set to play a critical role in shaping future Internet of Things environments.

Palavras-chave

Human-computer interaction, Internet of Things, Bibliometric analysis, Technology adoption, Scientometrics

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Comunicação em conferência

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Citação

Solis Pino, A. F., Agudelo, A. F., Ruiz, P. H., Mon, A., Collazos, C. A., & Moreira, F. (2024). Implementation human-computer interaction on the Internet of Things Technologies: A bibliometric analysis. In In Á. Rocha, H. Adeli, G. Dzemyda, Moreira, F., A. Poniszewska-Marańda, A. (Eds.). Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024, volume 1, (Part of: Lecture Notes in Networks and Systems, vol. 985, pp. 194-203). Springer. https://doi.org/10.1007/978-3-031-60215-3_19. Repositório Institucional UPT. https://hdl.handle.net/11328/5643

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978-3-031-60215-3
978-3-031-60214-6

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