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Jiayuan Dong
Jiayuan Dong
Jiayuan Dong is a Ph.D. candidate majoring in Industrial and Systems Engineering with a concentration in human factors at Virginia Tech.
She is also a graduate research assistant in the Mind Music Machine Lab at Virginia Tech. Her research projects focus on emotions and trust in human-computer interaction (HCI) and human-robot interaction (HRI). She has various experiences with different kinds of social robots, especially using them as intelligent agents in automated driving and educational tools for STEAM (STEM + Art) education.
Nikhil Gowda
Nikhil Gowda
Nikhil Gowda is a senior researcher leading on-road UX research at Amazon’s Last Mile Design and Research org.
Over the last decade he has worked at Renault, Nissan, NASA and the Center for Design Research at Stanford, primarily researching human interaction with robots, autonomous vehicles and novel modalities like Augmented Reality.
Yiyuan Wang
Yiyuan Wang
Yiyuan Wang is a Ph.D. candidate from the Urban Interfaces Lab in the Design Lab at the University of Sydney.
Her doctoral research focuses on investigating the affective aspects in autonomous vehicle(AV)-pedestrian interaction in urban shared spaces through designing and prototyping affective external human-machine interfaces (affective eHMIs), from emotional expressions on AVs to how eHMIs may influence the affective states of pedestrians.
Mungyeong Choe
Mungyeong Choe
Mungyeong Choe is a Ph.D. student majoring in the Grado Department of Industrial and Systems Engineering with a concentration in human factors at Virginia Tech.
She is studying in the Mind Music Machine Lab (tri-M lab). Her research focuses on the effects of empathic in-vehicle agents in driving contexts.
Areen Alsaid
Areen Alsaid
Areen Alsaid is an Assistant Professor in the Industrial and Manufacturing Systems Engineering Department, and the Director of the Safe, Empathetic & Trustworthy technology (SET) Lab at the University of Michigan-Dearborn.
Her research program focuses on drivers’ cognitive and affective state estimation through physical manifestations and contextual information, to smooth the interaction between humans and automation.
Ignacio Alvarez
Ignacio Alvarez
Ignacio Alvarez is a Principal Engineer at Intel Labs, USA. He obtained his PhD in Computer Science at University of the Basque Country, Spain, and Clemson University, USA., in the application of Human-Computer Interaction to Automotive Engineering.
His research interest is on automated driving systems, intelligent transportation and the practical application of cognitive sciences to affective computing and ADAS. He has been serving in several roles as a steering committee member of the AutoUI community.
Sven Krome
Sven Krome
Sven Krome is a researcher and designer specializing in human interactions with intelligent systems. He holds a Ph.D from RMIT and completed postdoctoral research at Cornell Tech, where he explored UX factors of advanced traffic models and contextual in-car interactions.
He has worked at leading L4 ride-hailing companies like Waymo and Uber ATG, focusing on rider experience and driving behavior issues, particularly related to tertiary communication systems. His work aims to enhance user experience and safety in autonomous vehicles and their broader applications.
Myounghoon Jeon
Myounghoon Jeon
Myounghoon "Philart" Jeon is a Professor in the Grado Department of Industrial and Systems Engineering and the Department of Computer Science (by courtesy) at Virginia Tech.
His Mind Music Machine Lab focuses on emotion and sound research in the context of automotive user experiences, assistive robotics, and arts in extended reality. He edited books, “Emotions and Affect in Human Factors and Human-Computer Interaction” and “User experience design in the era of automated driving”. He hosted AutoUI 2022 as a General co-Chair and has been serving as a steering committee member of the AutoUI community. He has co-hosted a number of workshops at AutoUI including the Emotion GaRage workshop series.
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