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Abstract: "With the increasing potential for gaming hardware and peripherals to support biometrics, their application within the games industry for software and design should be considered. This pa per assesses the ability to use a form of biometric measurement, heart rate, in real - time to improve the challenge and enjoyment of a game by catering it to individuals of varying ability . While the findings of this study are valuable to game developers in terested in providing additional dimensions to gameplay and testing, they may also be useful for those researching medical or the rapeutic applications for games . The results suggest that although the tested game was inherently challenging and enjoyable, t he adaptive affective gameplay was not altering the game enough to induce strong physiological or emotional responses from participants. Biofeedback games lend themselves to medical applications, but adaptive affective games can be used to respond sympathe tically to the player without requiring direct control of physiological responses as a form of input."

Abstract: "Herein is proposed the creation of an Application Program- ming Interface (API) for the Unity 3 and 4 video game de- velopment engine that not only reads behavioral measures from traditional video game input devices (such as if there has been an increase in mouse movements and clicks) but also takes into account physiological measures from biomet- ric devices (such as an increase in respiratory rate). The API parses these inputs based on study results that correlated player performance and engagement with physio- logical signs across several dierent game genres. Through the use of several rudimentary machine learning algorithms, raw physiological data is transformed into data relevant to a developer, including player engagement. The results of these calculations allow a game designer to have powerful tools for detecting when players experience certain emotions, and al- low for the design of aective games. Furthermore, the API also exposes the raw data to de- velopers wishing to propose and utilize their own learning algorithms, to allow for a rich development environment for developers of all skill levels. These development tools will enrich the game experience for the player, as well as prepare designers for the use of the next wave of non-traditional in- put hardware. This report serves to illustrate the current status of the API. A brief overview of the signicance of galvonic skin re- sponse (GSR), heart rate (HR), and respiratory rate (RR) in detecting player performance and engagement will be fol- lowed by a discussion of the API itself and the design choices therein."