From a multimodal point of view, the functions which have generally been attributed to linguistic elements of discourse (known, as a rule, as discourse markers or connectors within the several discourse analytic theories) can also be fulfilled by prosody and nonverbal units. These types of discourse functions, here called interactive conversational signals, a subgroup of the conversational sign...

The crucial role of affective factors like anxiety, inhibition, motivation and self-esteem have long been of interest in the field of language learning due to their enormous association with the cognitive processes involved in performance in a second or foreign language. This study aimed at investigating the relationship between Iranian EFL learners’ self-esteem and conversational dominance in ...

The most recent research about both human-human conversational interaction and human-computer agents conversational interaction is marked by a multimodal perspective. On the one hand this approach underlines the cooccurrence and synergy between different languages and channels, on the other hand it highlights the need for joined and coordinated action between various subjects (attuning and mutu...

The analysis of conversational dynamics in small groups, like the one illustrated in Figure 1.1, is a fundamental area in social psychology and nonverbal communication [Goodwin, 1981, Clark and Carlson, 1982]. Conversational patterns exist at multiple time scales, ranging from knowing how and when to address or interrupt somebody, how to gain or hold the floor of a conversation, and how to make...

The most recent research about both human-human conversational interaction and human-computer agents conversational interaction is marked by a multimodal perspective [1]. On the one hand this approach underlines the cooccurrence and synergy between different languages and channels [2], on the other hand it highlights the need for joined and coordinated action between various subjects (attuning ...

With the ever increasing popularity of web technologies, it is very common nowadays for people to discuss events, tasks and personal experiences in social media (e.g., Facebook, Twitter, blogs, fora) and email. These are examples of asynchronous conversations where participants communicate with each other at different times. The huge amount of textual data generated everyday in these conversati...

We present a publicly available tool called TagHelper that can be used to support the analysis of conversational data using automatic text classification technology. The contribution of this paper is to explore the limitations of the current simple approach to text processing employed by TagHelper tools with respect to identifying context-sensitive categories of conversational behavior. TagHelp...