eringilliam: emotion*

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  1. AI systems and devices will soon recognize, interpret, process, and simulate human emotions. A combination of facial analysis, voice pattern analysis, and deep learning can already decode human emotions for market research and political polling purposes. With companies like Affectiva, BeyondVerbal and Sensay providing plug-and-play sentiment analysis software, the affective computing market is estimated to grow to $41 billion by 2022, as firms like Amazon, Google, Facebook, and Apple race to decode their users’ emotions.
    https://hbr.org/2018/07/3-ways-ai-is-getting-more-emotional/
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  2. It is crucial for designers to understand, on a psychological level, why people are doing what they are doing, what motivates them to use our products, stick to our services and recommend them to others. This awareness will allow us to create optimal user experiences for users.
    In this article, we will look at a couple of basic approaches in designing optimal experiences for users based on basic psychological principles.
    https://uxplanet.org/how-to-design-for-optimal-user-experiences-and-delight-users-7b9cf6d36c0c/
    Tags: , , , by eringilliam (2018-05-01)
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