Janet Huang
Department / Institute
Group
RESEARCH PROFILE
Janet Huang is Assistant Professor, Future Everyday group, Industrial Design, TU/e. Her research focused on designing intelligent systems that support people to accomplish creative tasks.
Her research vision is to explore human-AI co-learning for facilitating new ways of creativity and productivity. More specifically, She strive to design and develop novel toolkits that empower designers to become proficient with AI as design materials. These toolkits enable designers to harness the power of data, computation, and AI techniques to tackle diverse and intricate problems across various contexts.
I am researching and designing new ways of collaborating with AI, empowering people to harness the power of data, computation, AI and creativity to address intricate problems across various contexts.
ACADEMIC BACKGROUND
Janet Huang got her MSc (2008) and PhD (2018) in Computer Science at National Taiwan University. Her PhD research "Designing for Complex Creative Task Solving" won Ph.D. Thesis Honorable Mention Award at the 2018 International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2018).
During July-Oct, 2018, she worked as a Research Scientist at the KIXLab, KAIST, exploring how to combining reflection and practice to enhance video learning for creative tasks. Later, she was awarded 2-year scholarship from the Ministry of Science and Technology (MOST) in Taiwan and this award enabled her as a PostDoc researcher to independently focus on my research topic on human-AI co-learning for creative tasks from December 2020.
In 2020 September, she became an assistant professor and continue to develop their research agenda on human-AI co-learning, from data-sensemaking to decision-making support, in various application domains.
Key Publications
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Yi-Ching Janet Huang,Yu-Ting Cheng,Rung-Huei Liang,Jane Yung-Jen Hsu,Lin-Lin Chen
Thing Constellation Visualizer - Exploring Emergent Relationships of Everyday Objects
Proceedings of the ACM on Human-Computer Interaction (2021) -
Yi-Ching Janet Huang,Stephan A.G. Wensveen,Mathias Funk
Experiential Speculation in Vision-Based AI Design Education
International Journal of Design (2023) -
Yi-Ching Janet Huang
Correct Me If I Am Wrong: Exploring How AI Outputs Affect User Perception and Trust
(2023) -
Nanyi Bi,Yi-Ching Janet Huang
I create, therefore I agree: Exploring the effect of AI anthropomorphism on human decision-making
(2023) -
Yu-Ting Cheng,Guo-Ling Tsai,Hen-An Lin,Yi-Ching Huang,Rung-Huei Liang,Lin-Lin Chen
Call me by my name
(2019)
Current Educational Activities
Ancillary Activities
No ancillary activities