NDLI: Situated multi-modal dialog system in vehicles

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Content Provider	ACM Digital Library
Author	Lane, Ian Devassy, Joan Misu, Teruhisa Raux, Antoine Gupta, Rakesh
Abstract	In this paper, we address Townsurfer, a situated multi-modal dialog system in vehicles. The system integrates multi-modal inputs of speech, geo-location, gaze (face direction) and dialog history to answer drivers' queries about their surroundings. To select appropriate data source used to answer queries, we apply belief tracking across the above modalities. We conducted a preliminary data collection and an evaluation focusing on the effect of gaze (head irection) and geo-location estimations. We report the result and analysis on the data.
Starting Page	25
Ending Page	28
Page Count	4
File Format	PDF
ISBN	9781450325639
DOI	10.1145/2535948.2535951
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-12-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Spoken dialog systems Face direction estimation Multi-modal interaction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Situated multi-modal dialog system in vehicles