Self-driving vehicles are still a rarity in most cities, but as they become more common and as more and more humans interact with them we need to consider the wide variety of human experiences that occur within and along-side these vehicles. What information does the driver need when the vehicle is getting started vs. on it’s way? What information engenders trust and how much is too much? What changes due to experience level and comfort? How do we account for reliable easy commutes and people who use vehicles differently each day? How do these vehicles interact with other drivers, pedestrians, bicyclists and general society? Carol will provide examples and a set of best practices for this burgeoning field.
Senior Research Scientist, Carnegie Mellon University
Carol Smith is a Senior Research Scientist in Human-Machine Interaction at Carnegie Mellon University’s Software Engineering Institute and an adjunct instructor for CMU’s HCII program. She has been conducting UX research to improve the human experience across industries for 18 years and working to improve AI systems since 2015. Carol has served two terms on the UXPA international board, and has presented over 130 talks and workshops around the world. She holds an M.S. in Human-Computer Interaction from DePaul University.
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