Making Visual Design Adapt to Emotions and Affect In: Proceedings of the First Conference on Designing with Artificial Intelligence Link
When designing for emotion AI designers cannot follow a playbook that would guide parameters for design automation. Although emotion detection is more widely available now, the translation of machine learning algorithms’ outputs into well-designed user experiences remains uncharted territory. The solutions and outcomes of designing for emotion in which the most basic connections between emotions and affects are addressed, remain largely elusive to designers. This paper offers a first glimpse from a designer’s perspective into designing for emotion, deduces preliminary emotion AI design principles from existing interaction design principles, and carefully formulates procedures for possible user experience research. It also discusses the question of accuracy in emotion detection from a psychological perspective, and its subsequent ethical and design implications when drafting a provisional emotion AI interaction design paradigm.