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Designers working on future interactive systems, such as as autonomous cars, personal robots, and digital assistants, have quite a task ahead of them. Designing and developing these contextually situated interactions will require that designers discover new interaction patterns and extensively test user experiences in the real world. In this presentation, Nik Martelaro, Ph.D. will discuss the Needfinding Machine, a method that shifts these interactive devices to be not just the products of design but also as the tools to do remote user observation, interaction prototyping, and needfinding from anywhere with a network connection. Nik shows two collaborations with practicing designers who used the Needfinding Machine to understand the interaction design needs for autonomous systems; 1) engineers and designers at Renault exploring currently available advanced driving assistance features and 2) human-agent interaction researchers at Spotify exploring in-car music assistants. Nik will also discuss how such methods could be used in the future, especially given our increasingly remote working habits.