The course aims to introduce participants to the concept of empathy and its application in Extended Reality (XR). Participants will learn how to incorporate contextualized empathy data into XR applications to enhance user experience. The course covers topics such as computational modeling, adaptive XR, user experience, services, multimodal interactions, and applications in healthcare and education. The teaching method includes lectures, examples, and discussions. This course is intended for individuals interested in XR technology, empathy-driven design, and enhancing user experiences in various domains.
Overview
Syllabus
Intro
Empathy Simulation
Computational Model
User and Context Modeling
Adaptive XR
Observations
Open Questions
Overview
Contextualized Data SOCIAL CONTEXT
XR and Contextualized Data
Embodiment
User Experience
Smart Immersive Environment
Services
Context-Sensitive Interaction
Multimodal Interactions
Neurotechnology
Example 2: Remote Sensing
Next Steps
Multi-user XR
Capturing Gaze and Emotions
Example 1: Telepresence
Example 2: XR Classroom
Design Choices
Design Tasks
Addressing Barriers
Enabling Technologies
Applications
Education
Communication
Challenges
Summary . Empathy-enabled XR can be used in many domains, from visual analytics to health care.
References 1/2
Acknowledgments
Taught by
IEEE Virtual Reality Conference
