There has been a rising trend of applying Deep Learning, or AI, to solve Human-Computer Interaction problems. And it's awesome to see what problems HCI researchers are solving with deep learning and what challenges that occur when designing AI-infused interfaces!
However, there seems to be no curation for all these awesome HCI + DL/ Human-AI Interaction resources so far. That's why we do this!
IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE InfoVis, VAST, SciVis)
Year | Paper |
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2019 | Agency plus automation: Designing artificial intelligence into interactive systems |
Year | Paper |
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2018 | The Challenge of Crafting Intelligible Intelligence |
Year | Paper |
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2019 | AI Safety Needs Social Scientists |
2017 | Using Artificial Intelligence to Augment Human Intelligence |
Year | Paper |
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2017 | Machine Teaching: A New Paradigm for Building Machine Learning Systems |
There are also some awesome course resources discussing Intelligent User Interface/ Human-AI interaction
School | Course | Lecturer |
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Carnegie Mellon University | Human-AI Interaction | Jeff Bigham and Joseph Seering |
Aalto University | Intelligent User Interfaces Studio | Kashyap Todi and Sunjun Kim |
Penn State University | Crowdsourcing & Crowd-AI Systems | Kenneth Huang |
University of Colorado Boulder | Human-centered Machine Learning | Chenhao Tan |
Stanford University | Designing AI to Cultivate Human Well-Being | Jennifer Aaker and Fei-Fei Li |
Georgia Tech | Data and Visual Analytics |
Bryan Wang (University of Toronto), Joe Hsu (Academia Sinica), Caleb Lu (University of Toronto), Mingming Fan (University of Toronto), Jacob Ritchie (University of Toronto), Fanglin Chen (Carnegie Mellon University)