Buch, Englisch, 464 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 733 g
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 II
Buch, Englisch, 464 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 733 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-031-60613-7
Verlag: Springer Nature Switzerland
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management E-Commerce, E-Business, E-Marketing
- Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
Weitere Infos & Material
Human-centered artificial intelligence.- explainability and transparency.- AI systems and frameworks in HCI.- Ethical considerations and trust in AI.- enhancing user experience through AI-driven technologies.- AI in industry and operations.- Large language models for enhanced interaction.- advancing human-robot interaction through AI.- AI applications for social impact and human wellbeing.
