An Analysis of Student Belief and Behavior in Learning by Explaining to a Digital Doppelganger
Abstract
Digital doppelgangers are virtual humans that highly resemble the real self but behave independently. Using a low-cost and high-speed computer graphics and character animation technology, we created digital doppelgangers of students and placed them in a learning-by explaining task where they interacted with digital doppelgangers of themselves. We investigate the research question of how does increasing the similarity of the physical appearance between the agent and the student impact learning. This paper discusses the design and evaluation of a digital doppelganger as a virtual human listener in a learning-by-explaining paradigm. It presents an analysis of how students' perceptions of the resemblance impact their learning experience and outcomes. The analysis and results offer insight into the promise and limitation of the application of this novel technology to pedagogical agents research.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2018
- Accession Number
- AD1157795
Entities
People
- Andrew Feng
- Ari Shapiro
- Cindy Zhuang
- David A Schwartz
- Ning Wang
- Stephen Goldberg
Organizations
- United States Army Research Laboratory
- University of Southern California