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Deep learning for emotion driven user experiences
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DOI：10.1016/j.patrec.2021.09.004.png)
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Abstract
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Deep knowledge about user characteristics and behaviors opens new and promising landscapes to the User Experience. Thanks to emerging machine learning techniques, a new form of communication chan-nel among users and applications may be exploited for customizing and finely tuning the dynamic behav-ior of applications to the peculiarities of their users. This work investigates the empathic improvement of the User Experiences and exploits inferences on user expressions for activating gaming and entertain-ment events, that are adopted in a cinematic way to create dynamic application behaviors. The presented approach is applied to a third/first-person horror adventure and a classic table game. As already verified in a preliminary phase of the research, user impressions, collected as subjective evaluation in a controlled experiment, are positive and encourage further steps, like the evaluation of other inferences on users. (c) 2021 Published by Elsevier B.V.
Keywords:
Deep learning
Computer vision
User emotions
User experience
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