Shiming Sun
Papers
2
Total Citations
35
H-Index
2
About
Shiming Sun is a pioneering researcher at the intersection of assistive robotics and human-computer interaction, with a primary focus on developing innovative technologies for children with autism spectrum disorder (ASD). Sun’s most impactful work, "Integrating Image and Textual Information in Human–Robot Interactions for Children With Autism Spectrum Disorder" (33 citations), introduces a novel multimodal framework that leverages NAO robots to enhance communication willingness in children with ASD through interactive picture book recommendations. This research uniquely combines talking and literary reading activities with robotic engagement, creating a therapeutic tool that bridges social interaction deficits. Sun’s methodological contributions extend to data science, as demonstrated in "Using correspondence analysis to select training set for multi-modal information data," which refines machine learning approaches for multimodal datasets. By integrating image and textual information in human-robot interactions, Sun addresses critical challenges in special education technology, offering scalable solutions that transform how children with ASD engage with learning materials. This work not only advances assistive robotics but also provides practical frameworks for developing socially assistive robots in therapeutic settings, making Sun a notable figure in human-robot interaction for developmental disorders.
Research Focus
Key Achievements
Top Papers
- 1
- 2