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Human-Computer Interaction

Advancing user interaction and the display of complex information

Research on human-computer interaction plays a central role across multiple teams at Microsoft Research. Our work is focused on advancing the way users interact with computing devices. This includes search, access, and information management, the display of complex data and information, user modeling and activity recognition, efficient input and interaction, the role of automation, and the coupling of intelligent systems with direct manipulation.



Kuansan Wang, The Knowledge Web Meets Big Scholars, ACM – Association for Computing Machinery, 18 May 2015.

Saleema Amershi, Max Chickering, Steven M. Drucker, Bongshin Lee, Patrice Simard, and Jina Suh, ModelTracker: Redesigning Performance Analysis Tools for Machine Learning, in Proceedings of the Conference on Human Factors in Computing Systems (CHI 2015), ACM – Association for Computing Machinery, April 2015.

Elena L. Glassman, Juho Kim, Andrés Monroy-Hernández, and Meredith Ringel Morris, Mudslide: A Spatially Anchored Census of Student Confusion for Online Lecture Videos, in Proceedings of CHI 2015, ACM – Association for Computing Machinery, April 2015.

Toby Sharp, Cem Keskin, Duncan Robertson, Jonathan Taylor, Jamie Shotton, David Kim, Christoph Rhemann, Ido Leichter, Alon Vinnikov, Yichen Wei, Daniel Freedman, Pushmeet Kohli, Eyal Krupka, Andrew Fitzgibbon, and Shahram Izadi, Accurate, Robust, and Flexible Real-time Hand Tracking, CHI, April 2015.

Indrani Medhi Thies, User Interface Design for Low-Literate and Novice Users: Past, Present and Future, in Foundations and Trends in Human-Computer Interaction, Now Publishers Inc. , April 2015.

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