| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
HCI International 2024 - late breaking papers/ edited by Helmut Degen, Stavroula Ntoa. |
| Reminder of title: |
26th International Conference on Human-Computer Interaction, HCII 2024, Washington, DC, USA, June 29 - July 4, 2024 : proceedings. |
| remainder title: |
HCII 2024 |
| other author: |
Degen, Helmut. |
| corporate name: |
International Conference on Human-Computer Interaction |
| Published: |
Cham :Springer Nature Switzerland : : 2024., |
| Description: |
xviii, 302 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Human-computer interaction - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-76827-9 |
| ISBN: |
9783031768279 |