Exploring gesture-based tangible interactions with a lighting AI agent

Abstract

The paper explores a gestural and visual language to interact with an Artificial Intelligent agent controlling connected lighting systems. Six interaction modalities (four gestural and two visual) were designed and tested with users in order to collect feedback on their intuitiveness, comfort and engagement level. A comparison between traditional voice-based interaction modalities with AI and the proposed gesture-based language was performed. Preliminary results are discussed, including the importance of cognitive metaphors in gesture-based interaction, the relation between intuitiveness, innovation, and engagement, and the advantages provided by gesture-based interactions in terms of privacy, subtleness, and pleasantness, versus the limited options and the need to learn a codified language. Insights will help designers in the development of seamless interactions with AI agents for ambient intelligent systems.