Mixed-modality engagement assessment with biometrics
Author(s) -
Ruiming Wang
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17760/d20335171
Subject(s) - modality (human–computer interaction) , biometrics , computer science , human–computer interaction , game mechanics , game design , multimedia , artificial intelligence
OF THESIS Submitted in partial fulfillment of the requirements for the degree of Master of Science in Game Science and Design in the Graduate School of the College of Arts, Media and Design of Northeastern University April, 2019 Abstract Getting feedback from users is the fundamental way for game designers to obtain insight for their game. However, the traditional methods of getting feedback in games have its limitations. Since users are often occupied with the game, it’s hard for game designers to get real-time, objective opinions from the player. This goal of this research is to build a model that take the GSR signal and postures as input and perform a real-time engagement evaluation that is going to help game designer capture the moment of dissatisfaction.Getting feedback from users is the fundamental way for game designers to obtain insight for their game. However, the traditional methods of getting feedback in games have its limitations. Since users are often occupied with the game, it’s hard for game designers to get real-time, objective opinions from the player. This goal of this research is to build a model that take the GSR signal and postures as input and perform a real-time engagement evaluation that is going to help game designer capture the moment of dissatisfaction.
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