Lin Sheng

Papers

Total Citations

H-Index

About

Lin Sheng is a pioneering researcher at the intersection of human-robot interaction and multisensory communication, with a particular focus on how non-traditional sensory modalities shape user perceptions. Their most cited work, "Crossmodal Interactions in Human-Robot Communication: Exploring the Influences of Scent and Voice Congruence on User Perceptions of Social Robots" (2025), breaks new ground by investigating how olfactory and auditory stimuli—specifically scent and voice congruence—can enhance emotional depth and social presence in human-robot interactions. This study, with 1 citation, represents an early but significant contribution to an emerging field, challenging conventional HCI paradigms that prioritize visual and auditory channels. Sheng’s research has the potential to revolutionize social robotics by integrating scent as a tool for more natural, emotionally resonant communication. Their work is particularly notable for bridging cognitive science, design, and engineering, offering a novel framework for creating more intuitive and empathetic robotic companions. As a forward-thinking scholar, Sheng is poised to influence future developments in affective computing and embodied interaction, making their profile essential reading for students and researchers interested in the future of human-robot relationships.