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Our Vision
Current game analytics tools primarily focus on operational metrics (retention, clicks, UI interactions, and gameplay outcomes). They know what players did, yet fail to understand how players perceive the game environment, how they make cognitive decisions, and what their real gameplay strategies and intentions are.
Today's game AI knows how to win against players, but not how players actually play, how they perceive, explore, and respond within a virtual world.
At SimMind, we believe true personalization and adaptive gameplay require a deeper, cognitive-level understanding of player behavior. To achieve this vision, we've built a clear three-layered architecture.
Behavior & Cognitive-Driven AI Simulation
From Behavioral Data to Cognitive & Spatial AI Players
Behavior Data
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Traditional Analytics
Traditional analytics measure surface-level metrics like playtime, clicks, and retention.
At SimMind, we capture deeper behavioral insights, what players see, how they move, and why they make decisions.
By capturing data at this deeper cognitive level, SimMind enables developers to build games that truly understand and adapt to players in meaningful ways.
Telemetry and
Egocentric Data
At SimMind, we capture two distinct yet complementary forms of data: Telemetry and Egocentric data.
Telemetry Data is invaluable for Root Cause Analysis (RCA), helping developers rapidly identify common player pain points, level design bottlenecks, and gameplay imbalances.
Egocentric Data captures interactions, objects, and events strictly from the player's personal perspective. This unique viewpoint delivers essential structured data required for RL and cognitive-level AI modeling, enabling agents to deeply understand and replicate individual human decision-making processes.
Event Data
From Basic to Cognitive - level
Starting with structured Basic Events, we evolve towards time-sequenced, spatially-aware Cognitive-Level Events.
Cognitive-Level Events capture not only the "what," but critically, the "why," "where," and "how".
We provide rich spatial and contextual information, including player intent, triggers for strategic decisions, emotional indicators, and precise spatial relationships within the game environment.
SimMind's Data-to-AI Evolution Roadmap
At SimMind, we believe the foundation of advanced AI lies in structured and meaningful data. Our roadmap clearly outlines a progressive path, starting from essential behavioral data capture and analytics, through targeted reinforcement learning, comprehensive spatial understanding, to sophisticated adaptive gaming capabilities powered by rich behavioral and emotional insights.
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