HCI International 2024 - late breaki...
International Conference on Human-Computer Interaction (2024 :)

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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 /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: HCI International 2024 - late breaking papers/ edited by Helmut Degen, Stavroula Ntoa.
    其他題名: 26th International Conference on Human-Computer Interaction, HCII 2024, Washington, DC, USA, June 29 - July 4, 2024 : proceedings.
    其他題名: HCII 2024
    其他作者: Degen, Helmut.
    團體作者: International Conference on Human-Computer Interaction
    出版者: Cham :Springer Nature Switzerland : : 2024.,
    面頁冊數: xviii, 302 p. :ill. (chiefly color), digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Human-computer interaction - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-76827-9
    ISBN: 9783031768279
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