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

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.

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 dc:creator

• Cole, Jared Lee

Chair dc:contributor.committeechair

• Horning, Michael A.

Committee members dc:contributor.committeemember

• Holz, Adrienne
• Tedesco, John C.

• artificial intelligence
• customization
• communication research
• human–computer interaction
• purchase intent
• computers are social actors

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en

Dc Identifier Other

vt_gsexam:38247

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/115945