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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.



Kathryn Zyskowski, Meredith Ringel Morris, Jeffrey P. Bigham, Mary L. Gray, and Shaun Kane, Accessible Crowdwork? Understanding the Value in and Challenge of Microtask Employment for People with Disabilities, ACM – Association for Computing Machinery, March 2015

Jason D. Williams, Nobal B. Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Carlos Garcia Jurado Suarez, Mouni Reddy, and Geoff Zweig, Rapidly scaling dialog systems with interactive learning, 11 January 2015

Robert A Cochran, Loris D’Antoni, Benjamin Livshits, David Molnar, and Margus Veanes, Program Boosting: Program Synthesis via Crowd-Sourcing, in POPL 2015: 42nd ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, ACM – Association for Computing Machinery, January 2015

Nihar B. Shah and Dengyong Zhou, On the Impossibility of Convex Inference in Human Computation, in Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI - Association for the Advancement of Artificial Intelligence, January 2015

Kenton O'Hara, Gerardo Gonzalez, Abigail Sellen, Graeme Penney, Varnavas, Helena Mentis, Antonio Criminisi, Robert Corish, Mark Rouncefield, Neville Dastur, and Tom Carrell, Touchless Interaction in Surgery, in Communications of the ACM, December 2014

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