Toward a Semi-Automated Scoping Review of Virtual Human Smiles

Sharon Mozgai, Jade Winn, Cari Kaurloto, Andrew Leeds, Dirk Heylen, Arno Hartholt


Abstract
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.
Anthology ID:
2022.smila-1.1
Volume:
Proceedings of the Workshop on Smiling and Laughter across Contexts and the Life-span within the 13th Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
SmiLa
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
1–5
Language:
URL:
https://aclanthology.org/2022.smila-1.1
DOI:
Bibkey:
Cite (ACL):
Sharon Mozgai, Jade Winn, Cari Kaurloto, Andrew Leeds, Dirk Heylen, and Arno Hartholt. 2022. Toward a Semi-Automated Scoping Review of Virtual Human Smiles. In Proceedings of the Workshop on Smiling and Laughter across Contexts and the Life-span within the 13th Language Resources and Evaluation Conference, pages 1–5, Marseille, France. European Language Resources Association.
Cite (Informal):
Toward a Semi-Automated Scoping Review of Virtual Human Smiles (Mozgai et al., SmiLa 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2022.smila-1.1.pdf
Code
 usc-ict/vhfc