A Qualitative Model to Reason about Object Rotations (QOR) applied to solve the Cube Comparison Test (CCT)
This work addresses a specific cognitive task in spatial reasoning, but it appears incremental as it builds on existing qualitative models for a known benchmark.
The paper tackles the problem of reasoning about object rotations by developing a qualitative model (QOR) and applies it to solve the Cube Comparison Test, using a conceptual neighborhood graph to relate rotation movements to location and orientation changes for inference.
This paper presents a Qualitative model for Reasoning about Object Rotations (QOR) which is applied to solve the Cube Comparison Test (CCT) by Ekstrom et al. (1976). A conceptual neighborhood graph relating the Rotation movement to the Location change and the Orientation change (CNGRLO) of the features on the cube sides has been built and it produces composition tables to calculate inferences for reasoning about rotations.