A multimodal visual reasoning environment inspired by Visual Thinking Strategies (VTS). Combines high-resolution artwork viewing, guided questioning, and spatial annotation to support structured visual interpretation.
🔗 Live App
Most digital art platforms prioritize access over interpretation. Users can zoom and pan, but there is no structured mechanism that encourages sustained observation, evidence-based interpretation, or reflective thinking after seeing the full context — leading to shallow engagement with visual material, even when high-resolution data is available.
Explore how an interface can guide users from fragmented perception to structured visual reasoning.
This project explores how slow looking and inquiry-based observation can support visual literacy and interpretive reasoning. Instead of presenting artworks as static objects, the system turns viewing into a phased cognitive process:
1. Investigation Users explore a zoomable artwork through a constrained loupe view and respond to guided prompts.
2. Reveal The full artwork is revealed, shifting perception from fragment to whole.
3. Reflection Users reflect on how their interpretation changed through interaction.
- Zoomable high-resolution artwork viewer (OpenSeadragon)
- IIIF support via Art Institute of Chicago image API
- Loupe-style matte for constrained focus interaction
- Click-to-annotate visual reasoning system
- Prompt-driven inquiry overlay
- Phase-based interaction model: Investigation → Reveal → Reflection
All artworks are loaded from the Art Institute of Chicago IIIF Image API.
- Vue 3 (Composition API)
- OpenSeadragon (deep zoom viewer)
- Vite
- JavaScript — no backend required
MVP demonstrating core features and interaction model.
- AI-assisted interpretation of annotations
- Adaptive prompting based on user behavior
- Multimodal reasoning over image and text inputs
- Expanded IIIF dataset support beyond AIC
- Comparative viewing across artworks
© 2026 Jennifer Lindsey. All rights reserved. Available for review; not licensed for reuse.