Conversational AI systems are becoming famous in day to day lives. In this paper, we are trying to address the following key question: To identify whether design, as well as development efforts for search oriented conversational AI are successful or not. It is tricky to de€ne ’success’ in the case of conversational AI and equally tricky part is to use appropriate metrics for the evaluation of c...

Determining when conversational participants agree or disagree is instrumental for broader conversational analysis; it is necessary, for example, in deciding when a group has reached consensus. In this paper, we describe three main contributions. We show how different aspects of conversational structure can be used to detect agreement and disagreement in discussion forums. In particular, we exp...

Family therapists' participation in therapeutic dialogue with clients is typically informed by evidence of how such dialogue is developing. In this article, we propose that conversational evidence, the kind that can be empirically analyzed using discourse analyses, be considered a contribution to widening psychotherapy's evidence base. After some preliminaries about what we mean by conversation...

In conversation, people avert their gaze from one another to achieve a number of conversational functions, including turn-taking, regulating intimacy, and indicating that cognitive effort is being put into planning an utterance. In this work, we enable virtual agents to effectively use gaze aversions to achieve these same functions in conversations with people. We extend existing social science...