An Application of the TCL Logic to Aerospace Missions

In this work we present a tool for the automatic attribution of emotions to astronauts speeches obtained from the NASA Mission Transcript Collection. While, at the current state of affairs, we do not have yet a quantitative evaluation of such tool, we present - as a proof of concept - some qualitative analysis showing the potential usefulness of our approach. The broader objective of this work is providing an intelligent system for monitoring the psycho-physical condition of an astronaut during an aerospace missions. This system exploits a commonsense reasoning framework based on the logic TCL, a probabilistic extension of Description Logics of typicality able to deal with the conceptual combination of prototypical descriptions, i.e. commonsense representations of given concepts. Starting from an ontological formalization of emotions based on the Plutchik model, known as ArsEmotica, the system exploits the logic TCL to automatically generate novel commonsense semantic representations of compound emotions (e.g. Love as derived from the combination of Joy and Trust according to Plutchik). The generated emotions have then been applied for emotion attribution in the context of aerospace missions, in order to classify transcriptions of astronaut’s speeches in the corresponding emotions.