Xiaolu Wu
Papers
1
Total Citations
4
H-Index
1
About
Xiaolu Wu’s research lies at the intersection of human-robot interaction, child-robot interaction, and user experience design, with a particular focus on how young users engage with social robots. Her most-cited work, “A video-based assessment of likeability and usability in a play application of robots for children” (2019, 4 citations), tackles the fundamental challenge of evaluating children’s perceptions of robotic systems—a population with distinct cognitive and attentional capacities compared to adults. In this study, Wu pioneered a video-based methodology to assess likeability and usability, offering a practical, child-friendly alternative to traditional self-reporting techniques that often fail with younger participants. This contribution is significant because it provides researchers with a validated framework for capturing authentic user feedback from children, thereby improving the design of playful, engaging robotic applications. Wu’s work highlights the importance of adapting evaluation tools to the developmental needs of end-users, ensuring that social robots are not only functional but also genuinely appealing and accessible to children. Her research continues to inform the growing field of child-centered robotics, where understanding subjective experience is key to successful human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1