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

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

Larry Heck and Hongzhao Huang, Deep Learning of Knowledge Graph Embeddings for Semantic Parsing of Twitter Dialogs, in The 2nd IEEE Global Conference on Signal and Information Processing (DRAFT), IEEE – Institute of Electrical and Electronics Engineers, December 2014

Azadeh Forghani, Gina Venolia, and Kori Inkpen, Media2gether: Sharing Media during a Call, in ACM Group 2014, ACM, 11 November 2014

Neha Gupta, David Martin, Ben Hanrahan, and Jacki O'Neill, Turk-Life in India, in Proceedings of Group 2014, ACM Conference on Supporting Groupwork, 9 November 2014

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