Game theorist and mathematician Robert Aumann argues that two people with a common prior probability cannot agree on later probabilities (when predicting the probability of outcomes, the theorem makes no statement about preference or value judgment regarding outcomes). [7] When designing the HuComTech corpus, we wanted to identify a variety of multimodal behavior patterns over a certain period of observation. Using data from the resulting database, this article focuses on discovering time patterns related to agreement/disagreement. It describes the methodological basis of the structure of the corpus as well as the analysis and interpretation of the data. Particular emphasis is placed on the research tool Theme: We describe both its theoretical foundations, which facilitate the analysis of multimodal behavioral data, and specify some methodological issues of its application to the HuComTech corpus. Finally, we present a selection of the most common temporal models associated with the pragmatic correspondence function discovered in the corpus and demonstrate their real context in the recorded interactions. Subject (Casarrubea et al., 2015, 2018; Magnusson et al., 2016; patternvision.com) seems to grasp the optionality of possible model-forming events, overcome the requirement of strict contiguity of certain analyses, and overcome the limitation of predetermined intervals between events, as implied by time series analysis. As such, it captures the inherent property of behavioral patterns of variability (between the subject and within the subject) in both composition and timing, and defines the appearance of models by statistical probabilities. The theme is a statistical environment that calculates all these conditions and determines which of the theoretically possible co-occurrences or sequences of any two events gives a minimal (i.e. first-level) model. The calculation by theme is based on the concept of the critical interval: it determines which of the temporal occurrences of two events such as A and B are in an interval that meets the condition of a certain probability, e.B.

p = 0.005. The subject recursively maps two events to a minimal model or minimal models to more complex models, thus constructing a theoretically unfinished hierarchy of events and models. The theme has another important concept: while intuitively connecting an event to its duration, the theme considers both the starting and ending points of such an event as a separate event and individually associates them with each other to form a model. In this way, Theme can grasp the difference between the following two situations: in the first, B begins to answer A`s question while A still speaks, in the second, B begins to answer only after A has finished the question. The fact that the theme is fundamentally based on discrete points in time associated with any type of events allows us to try to discover even patterns of behavior hidden from the naked eye, that is, without relying on stereotypes. However, the only limitation of Theme is understandable: it can only identify patterns based on events that have already been commented. Theoretically, the responsibility for selecting the categories to comment on (classes in terms of theme) lies solely in the design of the annotation scheme. However, our work is also limited by the computing power currently available: in order to successfully handle a reasonable number of calculations, our search for models was limited to the annotation classes listed in the previous section. However, we hope that the resulting patterns will prove to be representative of the agreement and match our daily intuitions. This is what the next section is supposed to offer. Let`s go, Carlos! We are so glad you told us how you and your brother disagree from time to time, but at the end of the day you resolve your disagreement! This is the most important thing! The siblings are wonderful and we are glad you both get along! Thank you for sharing your GREAT connection to our miracle, Carlos! 🙂 I do not agree with you. I`m sorry, but I don`t agree.

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