Human-AI interaction and collaboration / edited by Dan Wu, Shaobo Liang.

Format:

Book

Contributor:

Wu, Dan (College teacher), editor.

Liang, Shaobo (Information scientist), editor.

Language:

English

Subjects (All):

Artificial intelligence.

Human-computer interaction.

artificial intelligence.

Physical Description:

1 online resource (xv, 293 pages) : illustrations

Place of Publication:

Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2026.

Summary:

"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"-- Cambridge University Press.

Contents:

User interaction for human–AI interaction and collaboration / Dan Wu and Qingyue Guo

Privacy identification of human–generative AI interaction / Dan Wu and Guoye Sun

Credibility assessment of human–generative AI interaction / Yuxiang Chris Zhao, Shijie Song, and Yutian Jing

AI-supported crowdsourcing for knowledge sharing / Chei Sian Lee, Dion Hoe-Lian Goh, Hang Guo, Kok Khiang Lim, and Qian Wu

AI-supported search interaction for enhancing users’ understanding / Shaobo Liang and Chenrui Shi

AI for human and misinformation interactions : A case of social media / Nannan Huang, Xiuzhen Zhang, and Jia Tina Du

Effective human–AI collaborative intelligence / Zhuoren Jiang and Xiaozhong Liu

Human–AI collaboration for identifying health information wants / Zhuochun Li, Zhimeng Luo, Ning Zou, Bo Xie, and Daqing He

Human–AI collaboration for scientific discovery / Shuo Zhao, Yang Liu, Jiayu Wan, Tan Tang, and Xin Li

Challenges of generative AI on human–AI interaction and collaboration / Shaobo Liang and Yiting Cai.

Notes:

Includes bibliographical references.

Online resource; title from PDF title page (Cambridge University Press, viewed November 17, 2025).

Other Format:

Print version: Human-AI interaction and collaboration

ISBN:

9781009587891

1009587897

9781009587877

1009587870

OCLC:

1539297845

Publisher Number:

CIPO000281521

Access Restriction:

Restricted for use by site license