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Motor-Mediated Creativity: Bridging Embodied Skill Training and Digital ExpressionSpeaker (s):  WITHANA KANKANAMALAGE Gevindu Ganganath Sumanasekara PhD Student School of Computing and Information Systems Singapore Management University
| Date: Time: Venue: | | 26 March 2026, Thursday 11:00am – 11:30am Meeting room 4.4, Level 4 School of Computing and Information Systems 1, Singapore Management University, 80 Stamford Road, Singapore 178902 We look forward to seeing you at this research seminar. Please register by 24 March 2026. 
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About the Talk Expressive digital drawing requires nuanced motor control, subtle variations in pressure, velocity, and rhythm that convey affect and style. While experts develop this embodied fluency through years of practice, novices struggle to produce marks that match their intentions, creating a gap between vision and execution. We propose motor-mediated creativity: treating motor training as integral to digital expression. Our system, MOTUS, instantiates this through structured practice of expressive primitives, expert-referenced feedback, and ideation prompts that encourage exploration. We report a two-stage investigation. A formative study characterized: (a) novice challenges in motor fluency, (b) examined how different feedback types, including corrective feedback, helped participants understand their mistakes, (c) how prompts, generic or embodied, support engagement with abstract expressive content. A controlled evaluation then linked fluency gains to subjective and expert ratings of expressiveness. Together, our findings show that scaffolding motor skills is a viable strategy for enhancing expressive agency in digital drawing.
This is a Pre-Conference talk for ACM (Association for Computing Machinery) CHI Conference on Human Factors in Computing Systems (CHI 2026). About the speaker Currently pursuing PhD in Computer Science at Singapore Management University, Gevindu Ganganath works at the intersection of AI and Education. Under the supervision of Asst. Prof. Thivya Kandappu, he explores Human-Centered AI to bridge the gap between machine intelligence and pedagogical effectiveness. His research aims to transform how we learn by refining LLMs into intuitive and supportive digital tutors.
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