Friday, December 12, 2003
How can we make computers interact more intelligently with us? Does the field of Human/Computer Interface (HCI) suggest challenging new problems for machine learning? This workshop will address these and other related questions. We will focus discussion on five topics in HCI which have the greatest connection to machine learning (shown below). The goal of the workshop is to cross-fertilize HCI with machine learning by fostering discussion between researchers in the two fields.
- User modeling and personalization --- making predictive models of human state and preferences, in order to serve them better.
- Multimodal and perceptual user interfaces --- giving computers one or more senses, to make interaction with people more natural.
- Computerized support for meetings --- meeting capture and retrieval, to make meetings more effective.
- Direct brain-computer interface ---- input to computers directly from the brain.
- Intelligent dialog systems --- systems that can engage in conversations with people.
- Corey Anderson, Google
- Trevor Darrell, MIT AI Lab
- Eric Horvitz, Microsoft Research
- Satinder Singh Baveja, Computer Science and Engineering, University of Michigan
Click on talk title to see abstract
|7:35AM||General Overview: Machine Learning meets the User Interface|
|Eric Horvitz: Toward Adaptive, Personalized Computing: Directions and Frontiers (talk)|
|John Platt: Minimizing Calibration Efforts for an Indoor 802.11 Device Location Measurement System (spotlight)|
John Williamson: Probabilistic Models and Continuous Dynamics (spotlight)
|8:20AM||Discussion and Poster Viewing|
|8:45AM||Intelligent Dialog Systems|
|Satinder Singh Baveja: Challenges and Opportunities for Reinforcement Learning in Human Computer Interaction Systems (talk)|
|Tim Paek: Optimizing Call Routing by Integrating Spoken Dialog Models with Queuing Models (spotlight)|
|9:30AM||Discussion and Poster Viewing|
|9:55AM||Computer Support for Meetings|
|4:00PM||User modeling and Personalization|
Corey Anderson: Web Personalization with Machine Learning (talk)
Krzysztof Gajos: Automatically Generating User Interfaces (spotlight)
|Mikko Kurimo: Retrieving a User Language Model from an Unsupervised Document Map (spotlight)|
|4:45PM||Discussion and Poster Viewing|
|5:10PM||Multimodal and Perceptual User Interfaces|
|Trevor Darrell: Vision for Multimodal Conversational Interfaces (talk)|
|Samuel Kaski: Relevance Feedback from Eye Movements for Proactive IR (spotlight)|
|Nebojsa Jojic: Joint Design of Data Analysis Algorithms and User Interface for Video Applications (spotlight)|
|David Hardoon: Signal Extraction for Brain-Computer Interface (spotlight)|
|5:55PM||Discussion and Poster Viewing|
|Benjamin Blankertz: Enhancing Brain-Computer Interfaces by Machine Learning Techniques (talk)|