Negar Khojasteh

Papers

Total Citations

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About

Negar Khojasteh’s research lies at the intersection of human-robot interaction (HRI) and social robotics, with a focus on how people perceive and respond to robots in real-world settings. Her work explores the nuanced dynamics of physical touch between humans and robots, drawing on communication theories to interpret user reactions. In her most-cited paper, “Using Expectancy Violations Theory to Understand Robot Touch Interpretation” (2020, 11 citations), she examines how expectations shape whether robotic touch is experienced as positive or negative—a critical insight for designing socially adept robots. Khojasteh also investigates the deployment of telepresence robots in educational contexts, as seen in her study “Understanding Undergraduate Students’ Experiences of Telepresence Robots on Campus” (2019, 8 citations), which reveals how remote presence technologies affect student engagement and campus life. Her contributions advance our understanding of robot-mediated communication and the psychological factors that influence acceptance of robotic touch. By bridging theory and application, Khojasteh’s work informs the design of more intuitive, socially aware robots for healthcare, education, and everyday interaction.