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Creators/Authors contains: "Bansal, Ajay"

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  1. ; ; ; ; (, Journal of Educational Computing Research)
    Detection and responding to a player’s affect are important for serious games. A method for this purpose was tested within Chem-o-crypt, a game that teaches chemical equation balancing. The game automatically detects boredom, flow, and frustration using the Affdex SDK from Affectiva. The sensed affective state is then used to adapt the game play in an attempt to engage the player in the game. A randomized controlled experiment incorporating a Dynamic Bayesian Network that compared results from groups with the affect-sensitive states vs those without revealed that measuring affect and adapting the game improved learning for low domain-knowledge participants. 
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  2. ; ; ; (, Proceedings of the Future Technologies Conference)
    Content Agnostic Game Engineering (CAGE) architecture utilizes content agnostic mechanics to create educational games that can teach multiple contents. However, the player engagement goes down when second content is played using the same game mechanics. A content agnostic stealth assessment can aid a CAGE game in sustaining the engagement level of its players. A potentially generalizable method for this was tested using Chem-o-crypt, a CAGE game that can teach chemistry and cryptography contents. The game automatically detects frustration, flow, and boredom using the Affdex SDK from Affectiva. A randomized controlled experiment incorporating real-time game adaptation revealed that using stealth assessment can help sustain engagement in a CAGE game when playing multiple contents. 
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