Papers › Toward a Semi-Automated Scoping Review of Virtual Human Smiles
Toward a Semi-Automated Scoping Review of Virtual Human Smiles
Sharon Mozgai, Jade Winn, Cari Kaurloto, Andrew Leeds, Dirk Heylen, Arno Hartholt
Smiles are a fundamental facial expression for successful human-agent communication. The growing number of publications in this domain presents an opportunity for future research and design to be informed by a scoping review of the extant literature. This semi-automated review expedites the first steps toward the mapping of Virtual Human (VH) smile research. This paper contributes an overview of the status quo of VH smile research, identifies research streams through cluster analysis, identifies prolific authors in the field, and provides evidence that a full scoping review is needed to synthesize the findings in the expanding domain of VH smile research. To enable collaboration, we provide full access to the refined VH smile dataset, key word and author word clouds, as well as interactive evidence maps.
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