Computational modelling of embodied visual perspective-taking

File Description SizeFormat 
TCDS2019 - Fischer and Demiris - Stamped.pdfAccepted version1.15 MBAdobe PDFView/Open
SUPPLEMENTARY MATERIAL.pdfSupporting information2.34 MBAdobe PDFView/Open
Title: Computational modelling of embodied visual perspective-taking
Authors: Fischer, T
Demiris, Y
Item Type: Journal Article
Abstract: Humans are inherently social beings that benefit from their perceptional capability to embody another point of view, typically referred to as perspective-taking. Perspective-taking is an essential feature in our daily interactions and is pivotal for human development. However, much remains unknown about the precise mechanisms that underlie perspective-taking. Here we show that formalizing perspective-taking in a computational model can detail the embodied mechanisms employed by humans in perspective-taking. The model's main building block is a set of action primitives that are passed through a forward model. The model employs a process that selects a subset of action primitives to be passed through the forward model to reduce the response time. The model demonstrates results that mimic those captured by human data, including (i) response times differences caused by the angular disparity between the perspective-taker and the other agent, (ii) the impact of task-irrelevant body posture variations in perspective-taking, and (iii) differences in the perspective-taking strategy between individuals. Our results provide support for the hypothesis that perspective-taking is a mental simulation of the physical movements that are required to match another person's visual viewpoint. Furthermore, the model provides several testable predictions, including the prediction that forced early responses lead to an egocentric bias and that a selection process introduces dependencies between two consecutive trials. Our results indicate potential links between perspective-taking and other essential perceptional and cognitive mechanisms, such as active vision and autobiographical memories.
Issue Date: 30-Oct-2019
Date of Acceptance: 28-Sep-2019
URI: http://hdl.handle.net/10044/1/74323
DOI: https://doi.org/10.1109/TCDS.2019.2949861
ISSN: 2379-8920
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Journal / Book Title: IEEE Transactions on Cognitive and Developmental Systems
Copyright Statement: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Commission of the European Communities
Royal Academy Of Engineering
Funder's Grant Number: 612139
CiET1718\46
Keywords: Visual Perception
Perspective-taking
Forward Models
Computational Modeling
Social Psychology
Publication Status: Published online
Online Publication Date: 2019-10-28
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons