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Estimating a User's Internal State before the First Input Utterance
Joint Authors
Source
Advances in Human-Computer Interaction
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper describes a method for estimating the internal state of a user of a spoken dialog system before his/her first input utterance.
When actually using a dialog-based system, the user is often perplexed by the prompt.
A typical system provides more detailed information to a user who is taking time to make an input utterance, but such assistance is nuisance if the user is merely considering how to answer the prompt.
To respond appropriately, the spoken dialog system should be able to consider the user’s internal state before the user’s input.
Conventional studies on user modeling have focused on the linguistic information of the utterance for estimating the user’s internal state, but this approach cannot estimate the user’s state until the end of the user’s first utterance.
Therefore, we focused on the user’s nonverbal output such as fillers, silence, or head-moving until the beginning of the input utterance.
The experimental data was collected on a Wizard of Oz basis, and the labels were decided by five evaluators.
Finally, we conducted a discrimination experiment with the trained user model using combined features.
As a three-class discrimination result, we obtained about 85% accuracy in an open test.
American Psychological Association (APA)
Chiba, Yuya& Ito, Akinori. 2012. Estimating a User's Internal State before the First Input Utterance. Advances in Human-Computer Interaction،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-504566
Modern Language Association (MLA)
Chiba, Yuya& Ito, Akinori. Estimating a User's Internal State before the First Input Utterance. Advances in Human-Computer Interaction No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-504566
American Medical Association (AMA)
Chiba, Yuya& Ito, Akinori. Estimating a User's Internal State before the First Input Utterance. Advances in Human-Computer Interaction. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-504566
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504566