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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.



Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, and Andrew Fitzgibbon, Metric Regression Forests for Correspondence Estimation, in IJCV, Springer, August 2015.

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

TJ Tsai, Andreas Stolcke, and Malcolm Slaney, Multimodal Addressee Detection in Multiparty Dialogue Systems, IEEE – Institute of Electrical and Electronics Engineers, Brisbane, April 2015.

Michael Levit, Andreas Stolcke, Shuangyu Chang, and Sarangarajan Parthasarathy, Token-level Interpolation for Class-Based Language Models, in Proc. IEEE ICASSP, IEEE – Institute of Electrical and Electronics Engineers, April 2015.

Juho Kim, Elena L. Glassman, Andrés Monroy-Hernández, and Meredith Ringel Morris, RIMES: Embedding Interactive Multimedia Exercises in Lecture Videos, in Proceedings of CHI 2015, ACM – Association for Computing Machinery, April 2015.

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