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.
About 70 Microsoft researchers contributed papers, are participating on panels and leading plenary sessions at this year's premiere conference on human-computer interaction:
- Microsoft Research Project Colletta
- Mood Board 1.4
- MSR Identity Toolbox (With Binaries)
- MSR Identity Toolbox (Without Binaries)
Dongwook Yoon, Nicholas Chen, François Guimbretière, and Abigail Sellen, RichReview: Blending Ink, Speech, and Gesture to Support Collaborative Document Review, ACM – Association for Computing Machinery, October 2015.
Richard Harper, Why Skype? Explorations in the Grammar of ‘Being in touch’, Oxford University Press, August 2015.
Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, and Andrew Fitzgibbon, Metric Regression Forests for Correspondence Estimation, in IJCV, Springer, August 2015.
Sameh Khamis, Jonathan Taylor, Jamie Shotton, Cem Keskin, Shahram Izadi, and Andrew Fitzgibbon, Learning an Efficient Model of Hand Shape Variation from Depth Images, in CVPR, IEEE – Institute of Electrical and Electronics Engineers, June 2015.
Kuansan Wang, The Knowledge Web Meets Big Scholars, ACM – Association for Computing Machinery, 18 May 2015.
- Surface Hub for Research
- Society of Devices Applications (SODA)
- Eye Gaze Keyboard
- Data-Driven Conversation
- Project Blush
- Team Three Rs
- Eye Gaze Wheelchair
- Tablet and Stylus Interaction
- Dyadic Mano-a-Mano
- Fully Articulated Hand Tracking
- Physical Charts
- EmotoCouch: An exploration in interactive furniture
- PICL: Platform for Interactive Concept Learning
- Personalised online shopping study
- Learning to be a depth camera for close-range human capture and interaction
- Shared Media Study
- Writing Assistant
- Journeys & Notes