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Titlebook: Artificial Intelligence in HCI; 5th International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2024 The Editor(s) (if applicable)

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發(fā)表于 2025-3-21 19:46:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence in HCI
期刊簡稱5th International Co
影響因子2023Helmut Degen,Stavroula Ntoa
視頻videohttp://file.papertrans.cn/163/162460/162460.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Artificial Intelligence in HCI; 5th International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2024 The Editor(s) (if applicable)
影響因子.The three-volume book set LNAI 14734, 14735, and 14736 constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024...The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions...The AI-HCI 2024 proceedings were organized in the following topical sections:..Part I: Human-centered artificial intelligence; explainability and transparency; AI systems and frameworks in HCI; ?..Part II: Ethical considerations and trust in AI; enhancing user experience through AI-driven technologies; AI in industry and operations;..Part III: Large language models for enhanced interaction; advancing human-robot interaction through AI; AI applications for social impact and human wellbeing..
Pindex Conference proceedings 2024
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978-3-031-60613-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Serra Acar,Ching-I Chen,Huichao Xie crucial in human-AI interaction due to perceived risks arising from AI behaviors’ complexity and the technology’s nondeterministic nature. While several studies have examined trust in AI within specific domains and have focused on particular types of AI technology, this study aims to investigate tr
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Maureen Conroy,Kim McKnight,Kevin Sutherlandhe service sector of the online world. This paper focuses on trust-building factors in conversational AI systems and explores strategies to strengthen trust. First, an overview of trust, AI, conversational AI systems, and related literature is provided before discussing related literature on the con
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Family, State and Social Policynical. While both are indispensable, we contend that a third equally vital approach, focusing on human-AI interaction design, has been relatively neglected, despite the ongoing efforts of pioneers in the field. Through the presentation of four case studies of real-world AI systems, we illustrate, ho
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