Conference proceeding
Parallel OPM: A Visualization System for Analyzing Peers Board States for Gameplay Reflection
IEEE Conference on Computational Intelligence and Games (Print), pp 1-2
21 Aug 2023
Abstract
In this demo paper, we present Parallel OPM. Informed by research on player needs of AI in educational games [1], it is a new visualization system that uses play community data from other players to help players compare and reflect on their gameplay with their peers in the game Parallel [2]. In this demo paper/session: participants will (i) have the opportunity to play a level in the game Parallel [2] (ii) Use the guided reflection system to analyze and reflect on their gameplay compared to their peers.
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Details
- Title
- Parallel OPM: A Visualization System for Analyzing Peers Board States for Gameplay Reflection
- Creators
- Sai Siddartha Maram - University of California, Santa CruzJennifer Villareale - Drexel UniversityThomas Boyd Fox - Drexel UniversityJichen Zhu - IT University of CopenhagenMagy Seif El-Nasr - University of California, Santa Cruz
- Publication Details
- IEEE Conference on Computational Intelligence and Games (Print), pp 1-2
- Publisher
- IEEE
- Number of pages
- 2
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Games, Artificial Intelligence, and Media Systems (GAIMS) Center
- Scopus ID
- 2-s2.0-85180549832
- Other Identifier
- 991022207065904721