Manipulating a Virtual Human’s Speech and Its Effects on Learning and Affect

• In Event: RTD- Student Outcomes and Achievement (v)

Short Description

Virtual humans are human-like characters that are often designed to help people learn. In this study, we manipulated how the virtual human spoke using the evidence-based strategies of refutation text and deep questioning. We found no significant differences across learning outcomes or attitudes, but did find that learners’ perceptions of engagement differed depending on the speech strategy the virtual human used. Implications for theory and practice will be discussed.

Authors

• Presenter: Noah L Schroeder, Wright State University

• Contributor: Robert Franklin Siegle, Arizona State University

• Contributor: Vipin Verma, Arizona State University

• Contributor: Scotty D Craig, Arizona State University