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MapStory: Prototyping Editable Map Animations with LLM Agents

on YouTube 13m
Talkat UIST 2025 · 2025-09-28..10-01· [ai-assisted-development, data-visualization]

speakers

name:Aditya Gunturu
links:none on file
name:Ben Pearman
links:none on file
name:Keiichi Ihara
links:none on file
name:Morteza Faraji
links:none on file
name:Bryan Wang
links:none on file
name:Rubaiat Habib Kazi
links:none on file
name:Ryo Suzuki
links:none on file

resources

video:https://youtu.be/Bw_dY4of_lA
slides:none on file

summary

MapStory generates editable map-animation prototypes from plain text using a dual-agent LLM architecture that first produces a scene breakdown of camera moves, highlights, and animated elements, then a researcher agent with web search automatically retrieves GeoJSON regions, paths, and coordinates. Users edit timeline items and tweak primitive parameters; demos include a Nigeria highlight, a ship route for a ceremonial mace, and historical Andhra Pradesh boundaries. Design draws on an analysis of 200 map videos and evaluation with N=5 experts and N=12 users.

AI-written summary · about

chapters (8)

  1. 0:00Introduction and motivation
  2. 1:55Map animations today
  3. 2:59Live demo of MapStory
  4. 4:25Complex scene breakdown
  5. 6:35Expert insights and research agent
  6. 9:26Animation primitives and system
  7. 11:34Researcher agent demo
  8. 12:37Closing and Q&A

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