Back to search

Massachusetts Institute of Technology

Towards understanding facial movements in real life

Abstract

dc:description.abstract

It is commonly assumed that there is a reliable one-to-one mapping between a certain configuration of facial movements and the specific emotional state that is supposedly signals. One common way to test this one-to-one hypothesis is to ask people to deliberately pose the facial configurations that they believe they use to express emotions. Participants are randomly sampled, without concern for their emotional expertise, and are given a single emotion word or a single, brief statement to describe each emotion category. They then deliberately pose the facial configuration that they believe they make when expressing instances of this category. Such studies routinely find that participants from different countries show moderate to strong evidence for a one-to-one mapping between an emotion category and a single facial configuration (its presumed facial expression).

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Le Mau, Tuan.
Advisor dc:contributor.advisor
  • Emery N. Brown.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/121827
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/121827

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Le Mau, Tuan.. Towards understanding facial movements in real life. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121827