Presentation
Performance, Rendering, and Interaction for Competitive Esports (PRICE)
DescriptionThe Performance, Rendering, and Interaction for Competitive Esports (PRICE) workshop brings together cutting-edge research on topics essential to esports, including graphics and rendering, systems and performance, human factors and HCI, computer supported cooperative work (CSCW), data, and artificial intelligence.
Esports is no longer a niche hobby; it is a major cultural and economic force, with a global audience in the hundreds of millions and a market size exceeding $1 billion. The performance and experience of both players and spectators are critically dependent on the underlying technology. Success in competitive games hinges on a complex interplay between hardware capabilities, software optimizations, and the limits of human perception, performance, and experience.
The program includes a keynote, sketch presentations, and interactive panel discussions among sketch authors where the audience will be able to participate in the discussion. Additionally, a few short breaks in the agenda will allow for small group and one-on-one interactions.
Technical Workshop Sketches:
AI Level of Detail: Distance-Aware ML Model Precision Selection for Real-Time Human Motion Prediction in Games
Mathew Varghese, University of Washington
Towards Field Experiments in Esports Competition
Arjun Madhusudan, North Carolina State University
Josef Spjut, Ben Boudaoud, Joohwan Kim, NVIDIA
Benjamin Watson, North Carolina State University
Understanding Emergent Non-Verbal Communication in the Delta Force Competitive Video Game through Multimodal AI Analysis
Jinyuan Guo, Duke Kunshan University
Josef Spjut, NVIDIA
Improving Interaction by Transforming the Render-Display Pipeline
Aaron Fulmer, Francis Marion University; North Carolina State University
Evan Jonson, North Carolina State University
Hee-Jin Choi, Sejong University
Hyoungsik Nam, Kyung Hee University
Benjamin Watson, North Carolina State University
What Do Competitive Players Do With Their Settings? A Multi-Game Esports Configuration Survey
Ashish Rajpurohit, Arjun Madhusudan, Benjamin Watson, North Carolina State University
Esports is no longer a niche hobby; it is a major cultural and economic force, with a global audience in the hundreds of millions and a market size exceeding $1 billion. The performance and experience of both players and spectators are critically dependent on the underlying technology. Success in competitive games hinges on a complex interplay between hardware capabilities, software optimizations, and the limits of human perception, performance, and experience.
The program includes a keynote, sketch presentations, and interactive panel discussions among sketch authors where the audience will be able to participate in the discussion. Additionally, a few short breaks in the agenda will allow for small group and one-on-one interactions.
Technical Workshop Sketches:
AI Level of Detail: Distance-Aware ML Model Precision Selection for Real-Time Human Motion Prediction in Games
Mathew Varghese, University of Washington
Towards Field Experiments in Esports Competition
Arjun Madhusudan, North Carolina State University
Josef Spjut, Ben Boudaoud, Joohwan Kim, NVIDIA
Benjamin Watson, North Carolina State University
Understanding Emergent Non-Verbal Communication in the Delta Force Competitive Video Game through Multimodal AI Analysis
Jinyuan Guo, Duke Kunshan University
Josef Spjut, NVIDIA
Improving Interaction by Transforming the Render-Display Pipeline
Aaron Fulmer, Francis Marion University; North Carolina State University
Evan Jonson, North Carolina State University
Hee-Jin Choi, Sejong University
Hyoungsik Nam, Kyung Hee University
Benjamin Watson, North Carolina State University
What Do Competitive Players Do With Their Settings? A Multi-Game Esports Configuration Survey
Ashish Rajpurohit, Arjun Madhusudan, Benjamin Watson, North Carolina State University
Event Type
Technical Workshop
TimeThursday, 23 July 20262:00pm - 5:15pm PDT
LocationRoom 406 AB
Gaming & Interactive
Research & Education
Artificial Intelligence/Machine Learning
Display
Games
Graphics Systems Architecture
Hardware
Performance
Real-Time
Rendering
Full Conference Supporter
Full Conference
