No abstract

AI is becoming increasingly integrated in common technologies, which suggests that learning experiences for audiences seeking a "casual" understanding of AI-i.e. understanding how a search engine works, not necessarily understanding how to program one-is an increasingly important design space. Informal learning spaces like museums are particularly well-suited for such public science communication efforts, but there is little research investigating how to design AI learning experiences for these spaces. This paper explores how to design museum experiences that communicate key concepts about AI, using collaboration, creativity, and embodiment as inspirations for design. We present the design of five low-fidelity AI literacy exhibit prototypes and results from a thematic analysis of participant interactions during a co-design workshop in which family groups interacted with the prototypes and designed exhibits of their own. Our findings suggest new topics and design considerations for AI-related exhibits and directions for future research.

No abstract

This paper reports on the design and evaluation of LuminAI, a socially interactive art installation in which participants can engage in collaborative movement improvisation with virtual agents and other humans. LuminAI was used as a technical probe to study social interaction within interactive art at a local art gala during which over 100 participants interacted with the system. Video and interview data was gathered during the event and analyzed using thematic analysis to develop a taxonomy to guide the design of socially interactive systems involving humans and artificial agents. This taxonomy helped us identify areas where LuminAI was successful, where it needs improvement, and conceptual spaces we have yet to explore.

No abstract