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 I / [electronic resource] :
edited by Helmut Degen, Stavroula Ntoa.
- 1st ed. 2024.
- XXX, 470 p. 112 illus., 97 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 14734 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 14734 .
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.
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. .
9783031606069
10.1007/978-3-031-60606-9 doi
User interfaces (Computer systems).
Human-computer interaction.
Artificial intelligence.
Social sciences--Data processing.
Education--Data processing.
Computer networks .
Electronic commerce.
User Interfaces and Human Computer Interaction.
Artificial Intelligence.
Computer Application in Social and Behavioral Sciences.
Computers and Education.
Computer Communication Networks.
e-Commerce and e-Business.
QA76.9.U83 QA76.9.H85
005.437 004.019
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.
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. .
9783031606069
10.1007/978-3-031-60606-9 doi
User interfaces (Computer systems).
Human-computer interaction.
Artificial intelligence.
Social sciences--Data processing.
Education--Data processing.
Computer networks .
Electronic commerce.
User Interfaces and Human Computer Interaction.
Artificial Intelligence.
Computer Application in Social and Behavioral Sciences.
Computers and Education.
Computer Communication Networks.
e-Commerce and e-Business.
QA76.9.U83 QA76.9.H85
005.437 004.019