Kaixiang Mo

Papers

Total Citations

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About

Kaixiang Mo is a researcher whose work bridges human-robot interaction and user experience design, with a focus on optimizing conversational dynamics between humans and machines. His key research areas include understanding user perceptions of robotic delays, voice quality-speed trade-offs, and graphical user interface (GUI) integration during real-time interactions. Mo’s most-cited paper, "Understanding User Perceptions of Robot's Delay, Voice Quality-Speed Trade-off and GUI during Conversation" (2020, 15 citations), provides critical insights into how response timing and audio-visual design choices influence user satisfaction in human-robot conversations. By systematically examining the trade-offs between voice quality and response speed, Mo’s work offers practical guidelines for engineers and designers seeking to create more natural and engaging robotic interactions. His research highlights the delicate balance required to maintain conversational flow—where even minor delays can disrupt user trust and comfort. While still early in his career, Mo’s contributions are shaping the development of socially aware robots, particularly in contexts where seamless communication is essential, such as customer service, healthcare, and personal assistants. His findings underscore the importance of user-centered design in robotics, making him a rising voice in the field of human-robot interaction.