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DrawTalking: Building Interactive Worlds by Sketching and Speaking

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arxiv 2401.05631 v4 pith:ZVJDYAHN submitted 2024-01-11 cs.HC cs.AIcs.CLcs.ETcs.GR

Karl Toby Rosenberg , Rubaiat Habib Kazi , Li-Yi Wei , Haijun Xia , Ken Perlin This is my paper · ORCID
classification cs.HCcs.AIcs.CLcs.ETcs.GR
keywords buildingdrawtalkinginteractivesketchingspeakingworldsapplicableapproach
verification ladder T0 review T1 audit T2 compute T3 formal
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We introduce DrawTalking, an approach to building and controlling interactive worlds by sketching and speaking while telling stories. It emphasizes user control and flexibility, and gives programming-like capability without requiring code. An early open-ended study with our prototype shows that the mechanics resonate and are applicable to many creative-exploratory use cases, with the potential to inspire and inform research in future natural interfaces for creative exploration and authoring.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. ProactiveVA: Proactive Visual Analytics with LLM-Based UI Agent

    cs.HC 2025-07 conditional novelty 6.0 of 10

    An LLM-based UI agent monitors visual analytics interactions, detects when users struggle, infers their intent, and proactively provides context-aware guidance.

  2. SimStep: Chain-of-Abstractions for Incremental Specification and Debugging of AI-Generated Interactive Simulations

    cs.HC 2025-07 conditional novelty 6.0 of 10

    SimStep guides teachers through four editable graph abstractions (concepts, scenario, learning goals, UI interactions) to generate and debug AI-built simulations without writing code.

  3. MoGraphGPT: Creating Interactive Scenes Using Modular LLM and Graphical Control

    cs.HC 2025-02 conditional novelty 6.0 of 10

    An interactive no-code system combining element-level modular LLM sessions, drawing-based graphical proxies, and automatic sliders creates 2D scenes faster than Cursor Composer in a 10-participant study.

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