Mechanisms of Reference Frame Selection in Spatial Term Use: Computational and Empirical Studies

Area of Science:

• Cognitive Psychology
• Computational Neuroscience
• Linguistics

Background:

• Multiple reference frames compete for selection when using spatial terms like "above."
• The precise mechanisms governing this reference frame selection remain unclear.

Purpose of the Study:

• To investigate the mechanisms of reference frame selection in spatial term use.
• To compare the explanatory power of three distinct computational models of selection.

Main Methods:

• Conducted two experiments to gather empirical data on acceptance rates, response times, and distributions.
• Simulated and compared the competitive shunting model, the leaky competing accumulator (LCA) model, and a lexical selection model.

Main Results:

• Model simulations indicated that only the leaky competing accumulator (LCA) model accurately accounted for the observed empirical data.
• Key successful properties of the LCA model included its bounded linear activation function, processing stages, and decay mechanisms.

Conclusions:

• The leaky competing accumulator (LCA) model provides a robust framework for understanding reference frame selection.
• Findings have significant implications for the study of spatial cognition, conflict resolution, and selection processes in human cognition.