Papers
11
Total Citations
128
H-Index
7
About
Tran Anh Dung is a pioneering researcher in human-robot interaction, with a focused expertise in developing socially assistive robots for children with autism spectrum disorder. His most significant contribution lies in demonstrating how robot-assisted therapy can systematically train joint attention skills—a core deficit in autism—as evidenced by his landmark 2015 study (51 citations), which was among the first to examine the specific cognitive mechanisms affected by such training. Dung introduced the CuDDler robot, an affective social platform capable of recognizing and responding to users' emotional cues, thereby improving social interactions (19 citations). His work uniquely bridges engineering and clinical psychology, conducting user trials in real classroom environments (8 citations) to understand play behaviors of autistic children. Beyond autism therapy, Dung has advanced robot expressiveness through screen-based feedback systems (9 citations) and developed component-pluggable dialogue frameworks for social robots. His research portfolio, spanning over a decade, has accumulated more than 120 citations, establishing him as a key figure in socially assistive robotics. Dung’s contributions have laid foundational knowledge for using robots not merely as tools, but as empathetic social partners in therapeutic and educational settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Affective social interaction with CuDDler robot19 citations · 2013
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- 4Training Autistic Children on Joint Attention Skills with a Robot9 citations · 2018
- 5Evaluation of the Pet Robot CuDDler Using Godspeed Questionnaire9 citations · 2013
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- 9A hierarchical topological planner for multi-storey building navigation4 citations · 2015
- 10