Current Projects
Cognitive Assistant that Learns and Organizes (CALO)
We are researching robust multimodal natural language and discourse understanding for use in monitoring, recording, and summarizing multi-party meetings. Research foci include automatic topic segmentation and extraction, decision detection, multimodal fusion, ontological discourse modelling, robust semantic parsing, and dialogue act detection. Funded by DARPA through SRI.
In-car Multi-agent Dialogue System
We are developing a multi-device in-car spoken dialogue system called CHAT (
Conversational
Handling for
Automotive
Tasks). This allows a driver to interact with the car's systems (stereo, navigation instructions, local information database etc) without having to read screens or be otherwise visually distracted. Research areas include device addressee detection, error handling, confirmation & clarification strategies, plug-&-play device handling, and robust dialogue management in the face of noisy input. Funded by NIST in partnership with Bosch and VW.
Natural Language Interaction with Intelligent Tutoring Systems (ONR)
We are investigating the advantages of spoken dialogue in automated tutoring and coaching, through development of our
Spoken
Conversational
Tutor (SCoT). Our Navy damage control tutor has been used in experiments at Stanford,
U.S. Naval Academy and
SWOS. Our tutoring system conducts an after-action review dialogue with a student who has just finished a session with the DC-Train simulator, while our coaching system currently under development will talk to a student in the midst of using DC-Train, for advice and guidance. We are also beginning development of a shiphandling coach using the
COVE simulator. Our experiments have investigated how different tutoring strategies and styles affect subjects' learning and subsequent simulator performance.
Finished Projects
Information Mapping (Infomap)
Multimodal Conversational Interface (WITAS)