Error In Progress

Error in Progress explores how to improve error recovery in voice-first multimodal AI assistants. By examining user behavior and expectations during misunderstandings, the project identifies design strategies that integrate voice, visual, and haptic feedback. Through prototyping and user testing, it demonstrates how multimodal interactions can reduce frustration, enhance communication clarity, and rebuild user trust when AI systems fail. The goal is to create more resilient, transparent, and user-friendly experiences in everyday AI interactions.