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Titlebook: Human-Computer Interaction; 9th Iberoamerican Wo Pablo H. Ruiz,Vanessa Agredo-Delgado,Alicia Mon Conference proceedings 2024 The Editor(s)

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書目名稱Human-Computer Interaction
副標題9th Iberoamerican Wo
編輯Pablo H. Ruiz,Vanessa Agredo-Delgado,Alicia Mon
視頻videohttp://file.papertrans.cn/430/429654/429654.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Human-Computer Interaction; 9th Iberoamerican Wo Pablo H. Ruiz,Vanessa Agredo-Delgado,Alicia Mon Conference proceedings 2024 The Editor(s)
描述.This book constitutes the referred proceedings of the 9th Iberoamerican Workshop on Human-Computer Interaction, HCI-COLLAB 2023, held in Buenos Aires, Argentina, during September 13–15, 2023...The 23 full papers presented in this book were carefully reviewed and selected from 84 submissions. They cover a variety?of topics related to HCI such as: Emotional Interfaces, Usability, Video Games and Gamification, Computational Thinking, Internet of Things (IoT), Software Engineering, ICT in Education, Augmented and Mixed Virtual Reality for Education, Emotional Interfaces, Adaptive Instructional Systems, Accessibility, Artificial Intelligence in HCI, Industry 4. 0 and HCI, Infotainment Systems, Intelligent Systems, Collaborative Work and Learning, Cognition, and Interaction, among others..
出版日期Conference proceedings 2024
關鍵詞Human Computer Interaction; Usability design and evaluation; augmented reality; artificial neural netwo
版次1
doihttps://doi.org/10.1007/978-3-031-57982-0
isbn_softcover978-3-031-57981-3
isbn_ebook978-3-031-57982-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Communications in Computer and Information Sciencehttp://image.papertrans.cn/h/image/429654.jpg
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978-3-031-57981-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Adrian Lecaros,Arturo Moquillaza,Fiorella Falconi,Joel Aguirre,Carlos Ramos,Freddy Paz
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An Approach to Cluster Scenarios According to Their Similarity Using Natural Language Processing,er proposes an approach to analyze a set of scenarios by grouping them according to their similarity. The similarity is calculated through a series of comparisons of the different attributes of the scenario. This paper also describes a prototype implementing this method. Finally, the paper shows the
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