Description
The integration of AI into information systems will affect the way users interface with these systems. This exploration of the interaction and collaboration between humans and AI reveals its potential and challenges, covering issues such as data privacy, credibility of results, misinformation, and search interactions. Later chapters delve into application domains such as healthcare and scientific discovery. In addition to providing new perspectives on and methods for developing AI technology and designing more humane and efficient artificial intelligence systems, the book also reveals the shortcomings of artificial intelligence technologies through case studies and puts forward corresponding countermeasures and suggestions. This book is ideal for researchers, students, and industry practitioners interested in enhancing human-centered AI systems and insights for future research.
Table of Contents
Contributor biographies; Preface; 1. Introduction Dan Wu, Guoye Sun and Shaobo Liang; 2. User Interaction for Human-AI Interaction and Collaboration Dan Wu and Qingyue Guo ; 3. Privacy Identification of Human-Generative AI Interaction Dan Wu and Guoye Sun; 4. Credibility Assessment of Human-Generative AI Interaction Yuxiang Chris Zhao, Shijie Song and Yutian Jing; 5. AI-supported Crowdsourcing for Knowledge Sharing Chei Sian Lee, Dion Hoe-Lian Goh, Hang Guo, Kok Khiang Lim and Qian Wu; 6. AI-supported Search Interaction for Enhancing Users' Understanding Shaobo Liang and Chenrui Shi; 7. AI for Human and Misinformation Interactions: A Case of Social Media Nannan Huang, Xiuzhen Zhang and Jia Tina Du; 8. Effective Human-AI Collaborative Intelligence Zhuoren Jiang and Xiaozhong Liu; 9. Human-AI Collaboration for Identifying Health Information Wants Zhuochun Li, Zhimeng Luo, Ning Zou, Bo Xie and Daqing He; 10. Human-AI Collaboration for Scientific Discovery Shuo Zhao, Yang Liu, Jiayu Wan, Tan Tang and Xin Li; 11. Challenges of Generative AI on Human-AI Interaction and Collaboration Shaobo Liang and Cai Yiting; 12. Conclusion Dan Wu, Guoye Sun and Shaobo Liang.
