Towards a Validated Model of the Influence of Emotion on Human Performance
Abstract
In this article, we provide an overview of our recent progress in developing and validating human behavior models that incorporate the influence of emotion on cognition. This work has been developed over the last four years within a context of Mission Rehearsal Exercise (MRE) project, a research prototype designed to support immersive leadership training. MRE puts trainees into unscripted human-oriented simulations, where they can improvise solutions with virtual humans. These software entities look and act like people and can engage in conversation and collaborative tasks, but unlike robots, they exist in simulated environments. The technology underlying virtual humans is a natural, albeit more ambitious extension of the approaches used to model human decision-makers in military simulations. Virtual humans must act and reach in their simulated environment, drawing on the disciplines of automated reasoning and planning. To hold a conversation, they must exploit the full gamut of natural language research, from speech recognition and natural language understanding to natural language generation and speech synthesis. Providing human bodies that can be controlled in real time delves into computer graphics and animation. And because a virtual human looks like a human, people expect it to behave like one as well and will be disturbed by, or misinterpret, discrepancies from human norms. Thus, virtual human research must draw heavily on psychology and communication theory to appropriately convey nonverbal behavior, emotion, and personality.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2004
- Accession Number
- ADA433410
Entities
People
- Jonathan Gratch
- Stacy C. Marsella
Organizations
- University of Southern California