Detection of Nudges and Measuring of Alignment in Spoken Interactions

Abstract

Nudges, techniques that indirectly influence human decision making, are little studied in spoken interactions. However, the limits of human-computer spoken interactions are not controlled, allowing machines realize bad nudges. In this context a framework for detecting nudges is needed to enhance the ethics of HCI. The work proposed in this PhD thesis is based on the hypothesis that the detection of nudges lies in measuring linguistic, paralinguistic and emotional alignments between interlocutors. Therefore, this PhD thesis aims to answer two research questions. First, does a high level of linguistic and paralinguistic alignement influence human's potential to be nudged? Second, if a person is resistant to other's emotions is she or he less sensible to be nudged? To get a better understanding of the correlation between alignment and nudges, but also a human's potential to be nudged knowing their level of alignment, we will conduct a series of experiments.