Applying a Text-Based Affective Dialogue System in Psychological Research: Case Studies on the Effects of System Behavior, Interaction Context and Social Exclusion
This work provides incremental insights for psychological researchers using affective dialogue systems to study affect and social aspects in online communication.
The researchers investigated how an affective dialogue system's behavior, interaction context, and social exclusion scenarios affect user evaluations and emotional responses in text-based interactions, finding that context and roles influence system evaluation and affective expressions, while social exclusion did not significantly alter affective reactions.
This article presents two studies conducted with an affective dialogue system in which text-based system-user communication was used to model, generate, and present different affective and social interaction scenarios. We specifically investigated the influence of interaction context and roles assigned to the system and the participants, as well as the impact of pre-structured social interaction patterns that were modelled to mimic aspects of 'social exclusion' scenarios. The results of the first study demonstrate that both the social context of the interaction and the roles assigned to the system influence the system evaluation, interaction patterns, textual expressions of affective states, as well as emotional self-reports. The results observed for the second study show the system's ability to partially exclude a participant from a triadic conversation without triggering significantly different affective reactions or a more negative system evaluation. The experimental evidence provides insights on the perception, modelling and generation of affective and social cues in artificial systems that can be realized in different modalities, including the text modality, thus delivering valuable input for applying affective dialogue systems as tools for studying affect and social aspects in online communication.