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Tran Anh Dung

Researcher at Institute for Infocomm Research Singapore

Publications -  12
Citations -  99

Tran Anh Dung is an academic researcher from Institute for Infocomm Research Singapore. The author has contributed to research in topics: Social robot & Robot. The author has an hindex of 6, co-authored 10 publications receiving 81 citations. Previous affiliations of Tran Anh Dung include Agency for Science, Technology and Research.

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Book ChapterDOI

Robot-Assisted Training of Joint Attention Skills in Children Diagnosed with Autism

TL;DR: Results showed improvement in RJA skills post training, relative to a pre-training test, which shows that with the use of objective measures and protocols grounded in methods of experimental psychology, it is possible to design efficient training of specific social cognitive mechanisms, which are the basis for more complex social skills.
Proceedings ArticleDOI

Affective social interaction with CuDDler robot

TL;DR: The preliminary survey results indicate that the CuDDler has potential to not only aid in human-robot interaction but also contribute towards the long term goal of multi-model emotion recognition and socially interactive robot.
Proceedings ArticleDOI

Developing a robotic platform to play with pre-school autistic children in a classroom environment

TL;DR: A study with five children with autism who were involved in a game found that the autistic children with higher scores of social communication skills directed significantly more eye gaze and touch towards the robot, supporting the idea that robot was suitable for encouraging interaction.
Book ChapterDOI

Evaluation of the Pet Robot CuDDler Using Godspeed Questionnaire

TL;DR: The development of an interactive pet companion, CuDDler, with the capability to recognize verbal and non-verbal communication acts that are tied to the emotional state of a person, leading to improved overall health and reduced healthcare cost is reported.
Book ChapterDOI

Component Pluggable Dialogue Framework and Its Application to Social Robots

TL;DR: This paper designs and develops a component pluggable event-driven dialogue framework for service robots that works for all the robots that need speech interface, and improves the system robustness, reliability, and maintainability.