Toward a Semi-Automated Scoping Review of Virtual Human Smiles

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

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2022
Accession Number
AD1183532

Entities

People

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

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Clustering
  • Computer Programming
  • Data Mining
  • Dimensionality Reduction
  • Embedding
  • Human Behavior
  • Intelligent Systems
  • Language
  • Literature
  • Literature Surveys
  • Machine Learning
  • Natural Language Processing
  • Neural Networks
  • Signal Processing
  • Two Dimensional
  • Visualizations

Readers

  • Radar Systems Engineering.
  • Speech Processing/Speech Recognition.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.