Visual Cognition Lab · Mar 19 Daily Digest
AI Visual Tools for Causal Reasoning
- 🔥 Oboe Causal Graphs: Causal graphs allow an AI to identify confounders and distinguish real causal...

Created by tao hong
Academic studies and industry insights on drawing, diagrams, and visual tools shaping cognition
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This paper establishes speculation as a key element of design processes in architecture studios, aimed at inventing new ways of thinking and making beyond conventional approaches.
Causal graphs enable AI to identify confounders and distinguish real causal pathways from spurious correlations. This forms the foundation for smarter AI reasoning.
Charts, diagrams, and interactive visualizations explain ideas 10× faster than paragraphs. Claude builds them for free – an accessible testbed for experimenting with AI-generated visuals in cognitive science.
Combat info hoarding by transforming notes from digital dust to processed knowledge.
Key phases of Cornell v2.0:
Claude's new interactive visuals revolutionize diagram use in AI chats:
Core contrast in AI reps:
Emerging trend in cognitive science: External visuals boost memory.
Memories AI, spun from Meta, builds a visual memory layer for wearables/robots to index and retrieve video memories:
Hands-on hack for cognitive offloading in AI coding:
VR as a multimodal visual interface transforms N-back training:
Emerging trend: Claude's new Visualizer turns prompts into interactive charts, timelines, and data viz—explore via sliders, no coding needed.
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Smart lifelogging technologies capture daily logs to support episodic memory impairment (EMI), affecting over 26 million with Alzheimer's. A promising external tool for externalizing and aiding recall in cognitive decline.
Recalibration isn't limited to external spatial perception—it extends to internal representations of the body, as demonstrated in the rubber hand...