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State-of-the-art neural dialogue systems excel at syntactic and semanticmodelling of language, but often have a hard time establishing emotionalalignment with the human interactant during a conversation. In this work, webring Affect Control Theory (ACT), a socio-mathematical model of emotions forhuman-human interactions, to the neural dialogue generation setting. ACT makespredictions about how humans respond to emotional stimuli in social situations.Due to this property, ACT and its derivative probabilistic models have beensuccessfully deployed in several applications of Human-Computer Interaction,including empathetic tutoring systems, assistive healthcare devices andtwo-person social dilemma games. We investigate how ACT can be used to developaffect-aware neural conversational agents, which produce emotionally alignedresponses to prompts and take into consideration the affective identities ofthe interactants.

Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory