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People leverage group discussions to collaborate in order to solve complextasks, e.g. in project meetings or hiring panels. By doing so, they engage in avariety of conversational strategies where they try to convince each other ofthe best approach and ultimately reach a decision. In this work, we investigatemethods for detecting what makes someone change their mind. To this end, weleverage a recently introduced dataset containing group discussions of peoplecollaborating to solve a task. To find out what makes someone change theirmind, we incorporate various techniques such as neural text classification andlanguage-agnostic change point detection. Evaluation of these methods showsthat while the task is not trivial, the best way to approach it is using alanguage-aware model with learning-to-rank training. Finally, we examine thecues that the models develop as indicative of the cause of a change of mind.

What makes you change your mind? An empirical investigation in online group decision-making conversations