Del 15382 i serien Lecture Notes in Computer Science

HCI International 2024 – Late Breaking Papers

26th International Conference on Human-Computer Interaction, HCII 2024, Washington, DC, USA, June 29 – July 4, 2024, Proceedings, Part IX

Häftad, Engelska, 2025

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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.

Produktinformation

Utgivningsdatum2025-01-01
Mått155 x 235 x 18 mm
Vikt487 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor302
FörlagSpringer International Publishing AG
ISBN9783031768262

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Människa – datorinteraktion inom Data och IT

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.