Harsh Sanghavi

Papers

Total Citations

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About

Harsh Sanghavi is a researcher whose work spans human-robot interaction, autonomous vehicle technology, and STEAM education, making meaningful contributions to how humans relate to intelligent systems in everyday contexts. His most cited work focuses on in-vehicle intelligent agents (IVIAs) in autonomous driving, examining how design characteristics such as speech style and embodiment shape driver trust and interaction quality. His 2019 study comparing robot and voice agents in autonomous vehicles — garnering 40 citations — highlighted the underexplored potential of robotic agents as interfaces that can meaningfully build driver confidence in self-driving systems. A follow-up 2021 paper, equally well-cited, deepened this inquiry by systematically investigating how conversational versus informative speech styles and voice-only versus embodied robot formats jointly and independently influence driver-agent dynamics. Beyond autonomous systems, Sanghavi has championed interdisciplinary education through robot-theater programs, blending arts with robotics and STEM to boost learner engagement across age groups. This work reflects a broader commitment to making robotics accessible and engaging to diverse audiences. Together, his research positions him as a versatile scholar bridging human factors, intelligent systems design, and educational innovation.