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Título
User Experience in Digital Ecosystems with the Integration of Artificial Intelligence: A Systematic Literature Mapping from 2010 to 2024
Autor(es)
Palabras clave
digital educational ecosystem
user experience
artificial intelligence
higher education
educational innovation
systematic mapping
Clasificación UNESCO
5312.04 Educación
6307.07 Tecnología y Cambio Social
Fecha de publicación
2024-10
Editor
Springer Nature
Citación
Valenzuela-Arvizu, S. Y., García-Peñalvo, F. J., & Ramírez-Montoya, M. S. (2024, October). User Experience in Digital Ecosystems with the Integration of Artificial Intelligence: A Systematic Literature Mapping from 2010 to 2024. In International conference on technological ecosystems for enhancing multiculturality (pp. 105-114). Singapore: Springer Nature Singapore.
Resumen
[EN]Analyzing users’ experience in digital ecosystems (DE) is essential to ensure effective spaces capable of satisfying their needs and interests. The present study analyzed the publications in the Scopus and Web of Science (WoS) databases from 2010 to 2024 on the study topic of “user experience (UX) in DEs that integrate artificial intelligence (AI).” One hundred eighty-two published articles were reviewed using the Systematic Mapping methodology. Inclusion, exclusion, and quality criteria were applied to obtain the most relevant information. The results showed a) the preponderance of empirical research articles over theoretical/conceptual; b) the mixed methodology approach and the concurrent triangulation design were the most used; c) the main areas of interest were Health, Education, and Technology, which reflects in d) the contexts of the most cited articles and e) the areas of specialization of the main journals analyzed; f) the United States tops the list of the leading countries in this research topic, followed by China and Australia; and e) the studies emphasized assessing the usability and satisfaction with chatbots, the most prevalent and studied AI
tool. This review provides a framework for identifying the state of the art of the research topic, making it possible to identify current and emerging research trends.
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