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Artificial Intelligence in HCI
5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part III
Springer
ISBN 978-3-031-60614-4
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Softcover
2024
53 s/w-Abbildungen, 111 Farbabbildungen.
In englischer Sprache
Umfang: xxii, 484 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-031-60614-4
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence
Produktbeschreibung
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.
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.
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