Dakuo Wang

Dakuo Wang
Research Staff Member - Human-Computer Interaction

Dakuo Wang is a Research Scientist in the AI Experience group at IBM Research Cambridge. He studies problems at the intersection of technology and humans in collaboration. Lately, he studies how human and AI systems can collaborate in various settings, such as data scientists work with AutoAI, employees collaborate with intelligent agents, doctors and patients interact with AI-suggested diagnosis.


He got his Ph.D. from the University of California Irvine with Judy and Gary Olson, dissertation topic on the collaborative writing. At Irvine, he also collaborated with Gloria Mark on Internet censorship project. He previously earned an MS in Electrical Engineering and Computer Science at the University of California Irvine, a Diplôme d'Ingénieur (MS) in Information System at École Centrale d'Électronique Paris, and BS in Computer Science at the Beijing University of Technology. He has worked in the fields of engineering, user experience design, and research, in France, China, and the U.S.

CISL Projects

There are no projects that meet those criteria.

CISL Publications


  1. . "Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems," In 25th International Conference on Intelligent User Interfaces (IUI ’20), March 17–20, 2020, Cagliari, Italy. ACM, New York, NY, USA, 11 pages [Publication, Abstract]