منابع مشابه
Inhalation amplitude and turn-taking in spontaneous Estonian conversations
This study explores the relationship between inhalation amplitude and turn management in four approximately 20 minute long spontaneous multiparty conversations in Estonian. The main focus of interest is whether inhalation amplitude is greater before turn onset than in the following inhalations within the same speaking turn. The results show that inhalations directly before turn onset are greate...
متن کاملPredicting User Satisfaction from Turn-Taking in Spoken Conversations
User satisfaction is an important aspect of the user experience while interacting with objects, systems or people. Traditionally user satisfaction is evaluated a-posteriori via spoken or written questionnaires or interviews. In automatic behavioral analysis we aim at measuring the user emotional states and its descriptions as they unfold during the interaction. In our approach, user satisfactio...
متن کاملPrediction of Turn-Taking by Combining Prosodic and Eye-Gaze Information in Poster Conversations
We investigate turn-taking behaviors in conversations in poster sessions. While the poster presenter holds most of the turns during sessions, the audience’s utterances are more important and should not be missed. In this paper, therefore, prediction of turn-taking by the audience is addressed. It is classified into two sub-tasks: prediction of speaker change and prediction of the next speaker. ...
متن کاملTurn-Taking, Preference, and Face in Criticism Responses
Vivas have multiple functions in academia, but their main goal is completing thesis evaluation. At the heart of this evaluation is a series of criticisms and their responsive turns by which participants talk vivas as institution into being (Heritage, 1997). Turn-taking is one of the many ways vivas are talked into being. This study drew upon conversation analysis to look into the turn allocatio...
متن کاملAutomatic turn segmentation in spoken conversations
In this paper we have studied the problem of detecting the spoken turn boundaries in human-human spoken conversations. The automation of this task is essential to enable the analysis, recognition and understanding of the speech transcriptions and dialog structures (e.g. turn taking, dialog act segmentation etc.). The problem formulation is different from previous work on metadata extraction in ...
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ژورنال
عنوان ژورنال: Journal of Communication
سال: 1975
ISSN: 0021-9916,1460-2466
DOI: 10.1111/j.1460-2466.1975.tb00582.x