arXiv (All)
open access
LandmarkLens: Predicting and Presenting Effective Landmarks for Mixed-Reality Urban Exploration
People with a poor sense of direction (SOD) struggle to build cognitive maps for effective spatial navigation, and existing navigation tools prioritize efficiency over spatial learning. To understand how navigation strategies differ by ability, we conducted a landmark attention study with 20 partici
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Allocentric Navigation Is Computationally Universal#1070790
- LandmarkLens: Predicting and Presenting Effective Landmarks for Mixed-Reality Urban Exploration#797943
- KilometerVision: A New Frontier for Large-Scale Spatial Intelligence in VLMs#1144555
- G2-Nav: Grounded and Guarded Vision-Language Costmaps for Robot Social Navigation#1156431
- Map-based spatial perspective taking reveals frontal late negativity loss and posterior delta gain in mild cognitive impairment.#364566
Record · ID 799366
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive