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This article presents two studies conducted with an affective dialogue systemin which text-based system-user communication was used to model, generate, andpresent different affective and social interaction scenarios. We specificallyinvestigated the influence of interaction context and roles assigned to thesystem and the participants, as well as the impact of pre-structured socialinteraction patterns that were modelled to mimic aspects of 'social exclusion'scenarios. The results of the first study demonstrate that both the socialcontext of the interaction and the roles assigned to the system influence thesystem evaluation, interaction patterns, textual expressions of affectivestates, as well as emotional self-reports. The results observed for the secondstudy show the system's ability to partially exclude a participant from atriadic conversation without triggering significantly different affectivereactions or a more negative system evaluation. The experimental evidenceprovides insights on the perception, modelling and generation of affective andsocial cues in artificial systems that can be realized in different modalities,including the text modality, thus delivering valuable input for applyingaffective dialogue systems as tools for studying affect and social aspects inonline communication.

cognitive computation

Applying a Text-Based Affective Dialogue System in Psychological  Research: Case Studies on the Effects of System Behavior, Interaction Context  and Social Exclusion