DoC students awarded Best Student Paper at research conference
Algorithmic Human Development Group
Work conducted by the at 51勛圖厙 has recently been awarded the Best Student Paper Award at the .
Their work “A Multilingual Virtual Guide for Self-Attachment Technique” presents a novel computational framework for deploying digital psychotherapy guides for Self-Attachment Technique in a different language leveraging existing out-of-language data without significant human translation effort. The work conducted by Alicia and Ruoyu was completed principally during their respective MSc and MEng final year projects, based on the digital psychotherapy framework produced by Lisa during her MSc final year project.
is a self-administrable intervention based on attachment theory, focusing on creating a compassionate and affectional bond between the user’s childhood or emotional self and their adult or thinking self, with promising results its .
If you are interested in learning more about Self-Attachment Technique or would like to participate in any upcoming studies from the Algorithmic Human Development Group, you can visit the or contact them via email to learn more.
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Reporter
Mr Ahmed Idle
Department of Computing