Social media platforms offer their audience the possibility to reply posts through comments and reactions. This allows social users express ideas opinions on shared content, thus opening virtual discussions. Most studies networks have focused only user relationships or while ignoring valuable information hidden in digital conversations, terms of structure discussion relation between contents, w...

This reflective piece tells the story of how I started out doing Conversation Analysis (CA) and have been transitioning into mixed methods for some years now. My basic argument is that language learning talk too complex a phenomenon to analyse using single methodology. Specifically, it extremely difficult isolate from interaction concrete evidence specific individual items in terms change cogni...

In a multimodal human-machine conversation, user inputs are often abbreviated or imprecise. Simply fusing multimodal inputs together may not be sufficient to derive a complete understanding of the inputs. Aiming to handle a wide variety of multimodal inputs, we are building a context-based multimodal interpretation framework called MIND (Multimodal Interpreter for Natural Dialog). MIND is uniqu...

In this paper we analyze existing methods and languages for modeling agent interactions and propose a SDLMAS Framework for rapid design, development and runtime support of multi-agent systems. The framework provides a simple but expressive declarative language for modeling complex interactions among agents. Proposed language is based on scenarios, sequences of conversation actions directed towa...