Spencer John Frazier

Affective Computing & Human-Machine Teams researcher, data scientist, engineer & designer


Current work: Lead Software Engineer, Advanced Technical Leadership Program (Lockheed Martin).
Affective computing and human-machine teaming. Advanced human performance monitoring.
Deep learning applied to hardware sensor and life-long human teammate data acquisition and learning (GIMBAL)

Past work: Technical Co-Founder of Drizly Inc ($XX mil valuation), Aniphon location-based creature capturing game

Research and Academia: Multi-Agent Systems research in the Computational Behavior Group at the Information Sciences Institute (University of Southern California) and incentivized human computation at the Entertainment Intelligence Lab (Georgia Tech)


PROJECTS - RESEARCH & PATENTS - CV (PDF)

Encrypted Learning on Blockchain For Training
Proceedings of IITSEC 2018 Full Paper

Technological architecture to enable state awareness of human collaborators in human-autonomy teams
Spencer Frazier, Patrick Craven and Kevin Oden, USA
Proceedings of AHFE 2018
Full Paper & Presentation

Federated Learning on Homomorphically Encrypted Machine Learning Models
Spencer Frazier
Lockheed Fellows Conference 2018
Poster

Mars Game: Creating and Evaluating an Engaging Educational Game (15105)
Kevin Dill, Spencer Frazier, Lockheed Martin; Barbara Freeman Ed.D., UC Berkeley; Juan Benito, Cooperative Entertainment Inc.
Proceedings of IITSEC 2015

Toward Using Games and Artificial Intelligence to Proactively Sense the Real World.
Spencer Frazier and Mark O. Riedl.
Proceedings of the 50th Convention of the Society for the Study of Artificial Intelligence and Simulation of Behavior (AISB), Symposium on AI and Games, London, UK, 2014.

Persistent and Pervasive Real-World Sensing using Games
Spencer Frazier and Mark O. Riedl
Proceedings of the 2nd AAAI Conference on Human Computation, Pittsburgh, Pennsylvannia, 2014.

Authenticating a physical device
https://patents.google.com/patent/US20140279516A1/en

Confirmation of identity
https://patents.google.com/patent/US20140201100A1/en

Team-It : Location-Based Gaming in Real and Virtual Environments
Spencer Frazier, Alex Newnan, Fotos Frangoudes, Yu-Han Chang and Rajiv Maheswaran
The Eighth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2012)
Full Paper

Team-It : Location-Based Gaming in Real and Virtual Environments
Spencer Frazier, Alex Newnan, Yu-Han Chang and Rajiv Maheswaran
The Eleventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2012)
Live Demonstration and Poster

Location-Based Mobile Games for Multi-Agent Coordination and Negotiation
Spencer Frazier, Alex Newnan, Yu-Han Chang and Rajiv Maheswaran
The Third Workshop on Cooperative Games in Multiagent Systems (CoopMAS-2012)
Workshop Paper

A Game Framework for Evaluating Human-Agent Negotiation in a Geospatial Context
Spencer Frazier, Alex Newnan, Yu-Han Chang and Rajiv Maheswaran
First International Workshop on Human-Agent Interaction Design and Models (HAIDM 2012)
Workshop Paper

Adaptive Agent for Player-Speciļ¬c Fitness and Health Incentives in Mobile Location Based Games
Spencer Frazier, Chao Huang, Sarit Kraus, Yu-Han Chang and Rajiv Maheswaran
AAAI 2013 Spring symposium on Data Driven Wellness: From Self-Tracking to Behavior Change
Extended Abstract

Adaptive Goal Generation Through Player Modeling in Location-Based Mobile Games
Spencer Frazier, Chao Huang, Sarit Kraus, Yu-Han Chang and Rajiv Maheswaran
The Twelfth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2013)
Extended Abstract