Interaction Analysis and Joint Attention Tracking in Augmented Reality

Multimodal research in human interaction has to consider a variety of factors, ranging from local short-time phenomena to complex interaction patterns. As of today, no single discipline engaged in communication research offers the methods and tools to investigate the full complexity continuum in a time-efficient way. A synthesis of qualitative and quantitative analysis is required to merge insights about micro-sequential structures with big data patterns. Using the example of a co-present dyadic negotiation analysis to combine methods offered by Conversa-tion Analysis and Data Mining, we show how such a partnership can benefit each discipline and lead to insights as well as new hypotheses evaluation opportunities