Avatar Visual Similarity for Social HCI: Increasing Self-Awareness
Bernhard Hilpert, Claudio Alves da Silva, Leon Christidis, Chirag, Bhuvaneshwara, Patrick Gebhard, Fabrizio Nunnari, Dimitra Tsovaltzi

TL;DR
This study explores how varying levels of visual similarity in virtual avatars affect self-awareness in social virtual training, demonstrating that higher similarity enhances key self-awareness factors.
Contribution
It introduces a methodology to systematically manipulate avatar visual similarity based on facial features and examines its impact on self-awareness in virtual environments.
Findings
Higher avatar similarity increases perceived similarity and identification
Significant differences between weak and strong similarity manipulations
Avatar similarity influences antecedents of self-awareness
Abstract
Self-awareness is a critical factor in social human-human interaction and, hence, in social HCI interaction. Increasing self-awareness through mirrors or video recordings is common in face-to-face trainings, since it influences antecedents of self-awareness like explicit identification and implicit affective identification (affinity). However, increasing self-awareness has been scarcely examined in virtual trainings with virtual avatars, which allow for adjusting the similarity, e.g. to avoid negative effects of self-consciousness. Automatic visual similarity in avatars is an open issue related to high costs. It is important to understand which features need to be manipulated and which degree of similarity is necessary for self-awareness to leverage the added value of using avatars for self-awareness. This article examines the relationship between avatar visual similarity and increasing…
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Taxonomy
TopicsData Visualization and Analytics · Video Analysis and Summarization
