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Virginia Tech

Facial Expression Intelligence Scale (FEIS): Recognizing and Interpreting Facial Expressions and Implications for Consumer Behavior

Abstract

dc:description.abstract

Each time we meet a new person, we draw inferences based on our impressions. The first thing we are likely to notice is a person's face. The face functions as one source of information, which we combine with the spoken word, body language, past experience, and the context of the situation to form judgments. Facial expressions serve as pieces of information we use to understand what another person is thinking, saying, or feeling. While there is strong support for the universality of emotion recognition, the ability to identify and interpret facial expressions varies by individual. Existing scales fail to include the dynamicity of the face. Five studies are proposed to examine the viability of the Facial Expression Intelligence Scale (FEIS) to measure individual ability to identify and interpret facial expressions. Consumer behavior implications are discussed.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Marketing
Department dc:contributor.department
Marketing
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Pierce, Meghan
Chairs dc:contributor.committeechair
  • Brinberg, David L.
  • Bagchi, Rajesh
Committee members dc:contributor.committeemember
  • Weaver, Kimberlee D.
  • Jaccard, James J.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-04112012-141952
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/26786

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Pierce, Meghan. Facial Expression Intelligence Scale (FEIS): Recognizing and Interpreting Facial Expressions and Implications for Consumer Behavior. doctoral thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/26786