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Adil Can Dai

Adil Can Dai
Adil Can Dai is a Master's degree student in the School of Mechanical Engineering at Purdue since Fall 2014. He has completed his Bachelor's degree in Middle East Technical University, Turkey in 2014. He joined C Design Lab Tangible Group in Fall 2015 and his research interests are robotics, mechatronics, product development and prototyping. Currently he is working on modular robotics and user interfaces for visual programming.

Categories

  • DESIGN METHOD
    • Design Learn
    • Design Collaboration
    • Design Representation
  • TANGIBLE, EMBEDDED & EMBODIED INTERFACES
    • Embedded Input
    • Tangibles
    • Fabrication
  • HUMAN SHAPE INTERACTION
    • Multi-touch Interaction
    • Mid-air Interaction
    • Spatial Analytics
    • Shape Understanding

Recent Publications

  • DesignFromX:Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products
  • GesPrompt: Leveraging Co-Speech Gestures to Augment LLM-Based Interaction in Virtual Reality
  • CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence

Recent Publications

  • DesignFromX:Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products
  • GesPrompt: Leveraging Co-Speech Gestures to Augment LLM-Based Interaction in Virtual Reality
  • CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence

Lab News

  • ASME Hosts Congressional Briefing on Developing a Robust AI and STEM Workforce
  • Purdue professor foresees AI as catalyst for transformation in manufacturing and workforce
  • Convergence Master’s Thesis Graduate and Veo Co-founder Edwin Tan officially launches the Veo fleet at Purdue University

Recent Publications

  • DesignFromX:Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products
  • GesPrompt: Leveraging Co-Speech Gestures to Augment LLM-Based Interaction in Virtual Reality
  • CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence

Featured Publications

  • CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence
  • Visualizing Causality in Mixed Reality for Manual Task Learning: A Study
  • M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models
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