Graduation Year
2023
Document Type
Dissertation
Degree
D.B.A.
Degree Granting Department
Business
Major Professor
Robert Hammond, DBA
Co-Major Professor
Joann Quinn, Ph.D.
Committee Member
Alan Hevner, Ph.D.
Committee Member
Paul Spector, Ph.D.
Keywords
artificial intelligence, business-to-business sales, customer experience, photo-realistic avatars, synthetic media, content personalization
Abstract
Hyper-realistic avatars (HRAs), a form of synthetic media, are custom-created digital embodiments of a human, created by capturing and combining that person’s video and vocal likeness. This is the first known study of the efficacy of videos delivered by hyper-realistic avatars as a communication channel in comparison to videos delivered by their human counterparts. An experiment testing how information retention, engagement, and trust vary between viewers of videos delivered by a real human, videos delivered by the HRA representing that same human, and videos delivered by the HRA that discloses to viewers that it is a hyper-realistic avatar is presented. Testing on both subjective survey and objective biometric data from participants (n = 290) reveals that there is no statistically significant difference in information retention, engagement or trust between respondents who watched the real human versus the HRA of the real human. The only statistically significant (p = .003) difference found is in information retention between the HRA-delivered video (M = 4.065) and the video delivered by the HRA that disclosed it was a hyper-realistic avatar (M = 3.593). As the first research comparing this communication medium, this study lays the foundation for future studies of HRAs in numerous contexts, and directions for future research are suggested.
Scholar Commons Citation
Schiefelbein, Jill S., "Human vs Machine: Hyper-Realistic Avatars and Their Efficacy as a Communication Channel" (2023). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/10088
Included in
Artificial Intelligence and Robotics Commons, Business Administration, Management, and Operations Commons, Communication Commons