Eye Blinking as Addressee Feedback in Face-To-Face Conversation

Addressee Identification in Face-to-Face Meetings

We present results on addressee identification in four-participants face-to-face meetings using Bayesian Network and Naive Bayes classifiers. First, we investigate how well the addressee of a dialogue act can be predicted based on gaze, utterance and conversational context features. Then, we explore whether information about meeting context can aid classifiers’ performances. Both classifiers pe...

Speakers’ eye gaze disambiguates referring expressions early during face-to-face conversation

In two experiments, we explored the time course and flexibility with which speakers’ eye gaze can be used to disambiguate referring expressions in spontaneous dialog. Naive director/matcher pairs were separated by a barrier and saw each other’s faces but not their displays. Displays held identical objects, with the matcher’s arranged in a row and the director’s mirroring the matcher’s or else i...

To Whom It May Concern Addressee Identification in Face-to-Face Meetings

Selected Published Research on Modeling Face-to-face Conversation

The following list contains a survey of some important and recent research in modeling face-to-face conversation. The list below is a presented as a guide to the literature by topic and date; we include complete citations afterwards in alphabetical order. For brevity, research works are keyed by first author and date only (we use these keys on the slides as well as in this list). Of course, mos...

Applying Agreement Criteria to Determine Data Accurancy in Face to Face Surveys

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