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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
Published on: August 26, 2018
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Minimap: An interactive dynamic decision making game for search and rescue missions
Thuy Ngoc Nguyen1, Cleotilde Gonzalez2
1Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA, 15213, USA.
Behavior Research Methods
|August 8, 2023
Summary
Minimap is a new, flexible game tool for studying human dynamic decision-making (DDM) in complex environments. It allows customizable scenarios for better research replication and understanding of human-AI collaboration.
Area of Science:
- Cognitive Science
- Human-Computer Interaction
- Artificial Intelligence
Background:
- Existing microworlds for dynamic decision-making (DDM) lack flexibility and variety.
- Browser-based gridworld tools for studying human DDM are limited.
- There is a need for adaptable environments to explore complex decision-making behaviors.
Purpose of the Study:
- Introduce Minimap, a novel, dynamic interactive game for examining human DDM.
- Provide a flexible platform for creating diverse experimental scenarios and designs.
- Facilitate the study of human behavior in search and rescue contexts.
Main Methods:
- Developed Minimap, a customizable gridworld game incorporating essential DDM characteristics.
- Enabled customization of environmental dynamics, complexity, opaqueness, and dynamic complexity.
- Integrated features for visualizing and replaying human trajectories for behavioral analysis.
Main Results:
- Demonstrated Minimap's utility through an experiment on structural complexity and environmental opaqueness effects on decision-making under time constraints.
- Highlighted Minimap's capability to support detailed analysis of human behavior in controlled DDM tasks.
- Showcased the tool's effectiveness in generating varied experimental conditions.
Conclusions:
- Minimap offers a flexible and comprehensive solution for DDM research.
- The tool facilitates transparent replication of human behavior studies.
- Minimap has potential applications in enhancing human-AI teaming research and productivity.
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