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About

Jennifer Brade is a researcher at the forefront of human-robot interaction and virtual reality, exploring how people perceive and interact with embodied digital technologies (EDTs). Her work bridges the gap between human spatial cognition and technological design, with a focus on improving telepresence and robot teleoperation. Brade’s most-cited paper (10 citations) investigates how learning in virtual reality environments can enhance subsequent robot teleoperation in unfamiliar buildings, addressing the challenge of aligning allocentric maps with egocentric views. She has also made significant contributions to understanding the social perception of robots and telepresence systems, examining trustworthiness and attributions in hybrid human-robot societies. Her research on distance estimation through telepresence robots (1 citation) and the role of visual cues in spatial orientation (1 citation) further demonstrates her commitment to overcoming sensory limitations in remote operation. Brade’s work is critical for advancing the adoption of EDTs in public and private spaces, offering insights that inform both design and user experience. Her studies, published in 2022 and 2023, are already shaping the future of how humans and machines share and navigate spaces together.