The workshop on socially intelligent virtual agents aims to present innovative projects in the field and discuss the challenges they pose. The focus is on individualized, social human-agent relationships enabled by recent advances in AI research. Participants will learn about topics such as transformed social interaction, machine learning, social information processing, and ethical issues. The teaching method includes presentations, discussions, and experimental results. This workshop is intended for researchers, developers, and professionals interested in socially intelligent virtual agents and AI technologies.
Overview
Syllabus
Introduction
Workshop Overview
Keynote Speaker
Background
Interaction
Reality
Hybrids
Transformed Social Interaction
Synchronization Engine
Input Types
End State
Artificial Elements
Synthesised Links
Looking away
Mimic
Blending
Machine Learning
Social Information Processing
Creating New Languages
Eye Contact
Grouping
Initial Evidence
Research Hybrid Technologies
Motion Capture
MRI Study
COVID Replication
Continuous Presence
Team
Questions
Adaptability
Potential drawbacks
Ethical issues
Impact on users sense of veracity
Short question
Short break
Virtual Agents
Experimental Setup
Experimental Results
Conclusions
Taught by
IEEE Virtual Reality Conference
