Perception of head shape, texture fidelity and head orientation of the instructor’s look-alike avatar

Abstract

Using look-alike avatars may enhance the likeability and realism of avatars in 3D virtual learning environments. This paper explores perception of the features of the look-alike avatar representations of an instructor in virtual environments in two studies. In a pilot study, an instructor was represented as a look-alike, stick, and video avatar, allowing us to investigate students’ perceptions of teaching effectiveness in virtual and augmented reality environments. The main study seeks to determine the influence of three specific features of a look-alike avatar (head shape, texture fidelity and head orientation) on perception of likeability and visual realism, especially when judged by other people. Two textured look-alike avatars were generated using: (i) three-dimensional (3D) stereophotogrammetry; and (ii) 3D face reconstruction from a single full-face image. Participants compared three different head orientations (0°, 45°, 90°) of the look-alike avatars’ textured heads to their corresponding head silhouettes, to emphasize the differences in head shapes. Results suggest that participants prefer geometrically-accurate photorealistic avatars of the instructor due to the accuracy of the head shape and texture fidelity. In line with studies on face recognition, participants ranked the likeability and realism of the look-alike avatars similarly regardless of the head orientation. We discuss the implications of these findings for 3D virtual learning environments.