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Related Experiment Video

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Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

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Published on: October 13, 2018

Perspective taking in language: integrating the spatial and action domains.

Madeleine E L Beveridge¹, Martin J Pickering

¹Department of Psychology, University of Edinburgh Edinburgh, UK.

Frontiers in Human Neuroscience

|September 25, 2013

Summary

This study integrates spatial and action language perspective-taking, proposing a unified vocabulary and demonstrating that comprehenders can adopt various embodied action-perspectives beyond the agent. This flexibility aids dialogue by aligning situation models.

Keywords:

action perspective agency embodied cognition situation models spatial perspective

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Area of Science:

Cognitive Science
Linguistics
Psychology

Background:

Language comprehension involves perspective-taking in both spatial and action domains.
Current research often separates spatial and action perspective-taking.
Embodied theories of language typically assume an agent's perspective for action descriptions.

Purpose of the Study:

To integrate research on spatial and action perspective-taking.
To propose a unified and transparent vocabulary for perspective-taking research.
To argue for flexible embodied action-perspectives in language comprehension.

Main Methods:

Literature review integrating spatial and action language research.
Analysis of embodied theories of language comprehension.
Examination of evidence for flexible spatial perspective-taking.

Main Results:

Inconsistent vocabulary hinders integration of spatial and action perspective-taking.
Comprehenders can adopt agent, patient, or observer perspectives for action language.
Spatial perspective-taking is flexible and aids dialogue by aligning situation models.

Conclusions:

A unified vocabulary is needed to integrate spatial and action perspective-taking.
Embodied action-perspectives are more flexible than previously assumed.
Flexible perspective-taking in dialogue enhances shared situation models for action language simulation.