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HCI International 2024 – Late Breaking Papers 26th International Conference on Human-Computer Interaction, HCII 2024, Washington, DC, USA, June 29 – July 4, 2024, Proceedings, Part IX /

This nine-volume set LNCS 15473-15482 constitutes the proceedings of the 26th International Conference, HCI International 2023, in Washington, DC, USA, in June/July 2024. For the HCCII 2024 proceedings, a total of 1271 papers and 309 posters was carefully reviewed and selected from 5108 submissions....

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Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Degen, Helmut (Editor), Ntoa, Stavroula (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edició:1st ed. 2024.
Col·lecció:Lecture Notes in Computer Science, 15382
Matèries:
User interfaces (Computer systems).
Human-computer interaction.
User Interfaces and Human Computer Interaction.
Accés en línia:https://doi.org/10.1007/978-3-031-76827-9
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Taula de continguts:
  • Human-Centered AI: Multimodal Referring Expression Generation for Human-Computer Interaction
  • thics in the Use of Artificial Intelligence in the Media
  • Are Fair Machine Learning Models More Useful?
  • A Human-Centered Algorithmic Management Framework: A Literature Review
  • Public Perception of AI: A Review
  • Towards a Simplified AI Adoption Framework: Success Factors for the Implementation of Artificial Intelligence Information Systems
  • Realizing the Promise of AI Governance Involving Humans-In-The-Loop
  • Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study
  • Human Centered Approaches and Taxonomies for Explainable Artificial Intelligence
  • Enhancing Explainability in Medical AI: Developing Human-Centered Participatory Design Cards. AI for Decision Making and Sentiment Analysis: SenticNet 8: Fusing Emotion AI and Commonsense AI for Interpretable, Trustworthy, and Explainable Affective Computing
  • Text Characteristics Vector: Rethinking Human-Centered Sentiment Analysis with Emotion-Related Text Characteristics
  • Unbiased Recommender Learning for Enhanced Relevance and Coverage
  • AI Web Service Solution for Real-Time Forest Fire Prevention
  • Adaptive Planning: Comparing Human and Generative AI Responses in Premortem Planning
  • Neurosymbolic AI for Personalized Sentiment Analysis
  • An Exploratory Study of Conventional Machine Learning and Large Language Models for Sentiment Analysis.

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