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Virginia Tech

Can (S)He Close the Deal? The influence of Purchase Intention Through Gender-Assigned Artificial Intelligence

Abstract

dc:description.abstract

Artificial intelligence (AI) has become an increasingly integrated aspect of daily life. Particularly, businesses have been incorporating AI into many of their features from customer support to product personalization. While there has been a body of research exploring the interpersonal impacts of AI and human participants, there is limited research on the effects of human-like AI on its influence in the purchasing process. Taking the theoretical framework of the Computer Are Social Actors (CASA) paradigm, I utilized a 2 x 3 experiment to measure if the perceived sex of an artificial intelligence impacts consumers' purchase intention, trust, and sense of agency. Participants interacted with either a male-gendered or female-gendered AI chatbot, or a static website, which then recommended a water bottle based on the participants' preferences. The study indicated significance with both male and female participants preferring the control website over both AI sexes. The study also indicated significance in women participants feeling more overall agency than men participants during the experiment. The results indicate a potential need for a new level of human realism before CASA can be framed within some AI applications.

Degree

thesis:*
Name thesis:degree_name
MACOM
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Communication
Department dc:contributor.department
Communication
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Cole, Jared Lee
Chair dc:contributor.committeechair
  • Horning, Michael A.
Committee members dc:contributor.committeemember
  • Holz, Adrienne
  • Tedesco, John C.

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:38247
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/115945

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

Cole, Jared Lee. Can (S)He Close the Deal? The influence of Purchase Intention Through Gender-Assigned Artificial Intelligence. masters thesis, Virginia Tech, 2023. http://hdl.handle.net/10919/115945