@inproceedings{bohus2009learning,
author = {Bohus, Dan and Horvitz, Eric},
title = {Learning to Predict Engagement with a Spoken Dialog System in Open-World Settings},
year = {2009},
month = {May},
abstract = {We consider the challenge of predicting the engagement of people with an open-world dialog system, where one or more participants may establish, maintain, and break the communication frame. We show in particular how a system can learn to predict an intention to engage from multiple observations that are extracted from a visual analysis of people coming into the proximity of a system.},
url = {http://approjects.co.za/?big=en-us/research/publication/learning-predict-engagement-spoken-dialog-system-open-world-settings/},
pages = {9},
}