04911nam a22005415i 4500 978-3-031-76827-9 DE-He213 20251030114912.0 cr nn 008mamaa 241231s2024 sz | s |||| 0|eng d 9783031768279 978-3-031-76827-9 10.1007/978-3-031-76827-9 doi QA76.9.U83 QA76.9.H85 UYZ bicssc COM079010 bisacsh UYZ thema HCI International 2024 – Late Breaking Papers [electronic resource] : 26th International Conference on Human-Computer Interaction, HCII 2024, Washington, DC, USA, June 29 – July 4, 2024, Proceedings, Part IX / edited by Helmut Degen, Stavroula Ntoa. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVIII, 302 p. 80 illus., 63 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 15382 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. This nine-volume set LNCS 15473-15482 constitutes the proceedings of the 26th International Conference, HCI International 2023, in Washington, DC, USA, in June/July 2024. For the HCCII 2024 proceedings, a total of 1271 papers and 309 posters was carefully reviewed and selected from 5108 submissions. Additionally, 222 papers and 104 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work”. These papers were organized in the following topical sections: HCI Theories, Methods and Tools; Multimodal Interaction; Interacting with Chatbots and Generative AI; Interacting in Social Media; Fintech, Consumer Behavior and the Business Environment; Design for Health and Wellbeing; Ergonomics and Digital Human Modelling; Virtual Experiences in XR and the Metaverse; Playing Experiences; Design for Learning; New Cultural and Tourism Experiences; Accessibility and Design for All; Design for Older Adults; User Experience Design and Evaluation: Novel Approaches and Case Studies; Safety, Security and Privacy; HCI in Automated Vehicles and Automotive; HCI in Aviation, Transport and Safety; Human-Centered AI; AI for Decision Making and Sentiment Analysis. User interfaces (Computer systems). 64688 Human-computer interaction. 64854 User Interfaces and Human Computer Interaction. 66577 Degen, Helmut. editor. edt http://id.loc.gov/vocabulary/relators/edt 77239 Ntoa, Stavroula. editor. (orcid)0000-0002-6270-8333 https://orcid.org/0000-0002-6270-8333 edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031768262 Printed edition: 9783031768286 Lecture Notes in Computer Science, 1611-3349 ; 15382 https://doi.org/10.1007/978-3-031-76827-9 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 66233 66233