Ran Zhou
ATLAS Institute

Ran Zhou is a creative technologist and researcher passionate about human-robot interaction, haptics and tangible interaction. She is particularly interested in improving the emotional expressiveness of robots and is now devoted to exploring the emotional communication between robots and humans through haptic interaction. She successfully passed her preliminary exam in November 2022, submitting these written responses to her exam prompts. She holds a Master of Fine Arts in Design and Technology from Parsons School of Design, with a background in architecture. Her advisor is Daniel Leithinger.



S. Sandra BaeRishi VanukuruRuhan YangPeter GyoryRan ZhouEllen Yi-Luen DoDanielle Albers Szafir. 2022. Cultivating Visualization Literacy for Children Through Curiosity and Play. In Proceedings of IEEE VIS 2022,  https://doi.org/10.48550/arxiv.2208.05015 (Oct.16-21, 2022—Oklahoma City, Oklahoma).

Ran Zhou, Harpreet Sareen, Yufei Zhang, and Daniel Leithinger. 2022. EmotiTactor: Exploring How Designers Approach Emotional Robotic Touch. In Designing Interactive Systems Conference (DIS '22). Association for Computing Machinery, New York, NY, USA, 1330–1344. https://doi.org/10.1145/3532106.3533487 .pdf  (June 13-17, 2022—Virtual Event, Australia) [Best Pictorial Honorable Mention].

Ran Zhou and Harpreet Sareen. 2020. EmotiTactor: Emotional Expression of Robotic Physical Contact. In Companion Publication of the 2020 ACM Designing Interactive Systems Conference (DIS' 20 Companion). Association for Computing Machinery, New York, NY, USA, 151–156. DOI:https://doi.org/10.1145/3393914.3395891