Game Connect: A Middleware that Flexibly Connects Games to their Health Goals

Gamification, the application of game mechanics in a non-game context to motivate desired behavior, has proven effective in promoting health-related changes. Personalized game elements, such as tailored goals, rewards, and storylines, have been shown to be more effective than one-size-fits-all games. However, existing gamified health interventions are tailored towards a specific outcome, with a fixed combination of sensors tied to a specific storyline, which restricts the ability to change game mechanics without extensive modifications. Likewise, this approach also limits the flexibility to reuse the same game for multiple interventions. We present Game Connect, a middleware that decouples health sensors from game logic, enabling flexible combinations of sensor data sources with multiple game stories. Game Connect provides user interfaces for health domain experts to: (1) identify health data derived from various sensors; (2) define health goals to be met by a user; and (3) define how goals translate into one or more meaningful game construct. Uniquely, Game Connect employs a centralized "point pool" system, allowing different games to consume from the same pool of points earned through achieving real-life goals. We demonstrate the feasibility of Game Connect through an in-depth study of 10 individuals building games that rely on the middleware. Our evaluation indicates that Game Connect simplifies the process of integrating health data with existing games, and that its decoupling of health data, game logic, and intervention objectives allows for greater flexibility and code reusability across diverse applications.

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Published
2025-06-24
DOI
https://doi.org/10.1145/3721201.3721376
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
0.00

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article

Game Connect: A Middleware that Flexibly Connects Games to their Health Goals

Christine Julien, Grace Lee
Educational Games and Gamification
article

Game Connect: A Middleware that Flexibly Connects Games to their Health Goals

Christine Julien, Grace Lee
article en

Abstract

Gamification, the application of game mechanics in a non-game context to motivate desired behavior, has proven effective in promoting health-related changes. Personalized game elements, such as tailored goals, rewards, and storylines, have been shown to be more effective than one-size-fits-all games. However, existing gamified health interventions are tailored towards a specific outcome, with a fixed combination of sensors tied to a specific storyline, which restricts the ability to change game mechanics without extensive modifications. Likewise, this approach also limits the flexibility to reuse the same game for multiple interventions. We present Game Connect, a middleware that decouples health sensors from game logic, enabling flexible combinations of sensor data sources with multiple game stories. Game Connect provides user interfaces for health domain experts to: (1) identify health data derived from various sensors; (2) define health goals to be met by a user; and (3) define how goals translate into one or more meaningful game construct. Uniquely, Game Connect employs a centralized "point pool" system, allowing different games to consume from the same pool of points earned through achieving real-life goals. We demonstrate the feasibility of Game Connect through an in-depth study of 10 individuals building games that rely on the middleware. Our evaluation indicates that Game Connect simplifies the process of integrating health data with existing games, and that its decoupling of health data, game logic, and intervention objectives allows for greater flexibility and code reusability across diverse applications.

Virginia Tech (US), The University of Texas at Austin (US)
National Institutes of Health, National Heart, Lung, and Blood Institute
Openalex Percentile: Top 63%
Educational Games and Gamification
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Game Connect: A Middleware that Flexibly Connects Games to their Health Goals — Christine Julien, Grace Lee · (2025) | TGRS Research Map | TGRS