Affective Ecommerce
"Affective Ecommerce" is the application of affective computing to e-commerce.
As a result of Affective Ecommerce, machines can read and understand human emotions as a result of our behavioral and physiological reactions.[1] Through such means, machines can learn to monitor, aggregate, and predict reactions to products as well as present and future buying decisions.
Everything that we do or potentially interact with has varying amounts and types of emotional triggers for you to engage with, touch, or even notice it. Algorithms make use of these preferences and reactions to influence and seek to optimize buying behaviors. Many devices have been extensively tested and developed to tap into and make maximum use of these emotional and behavioral responses. Emotion-sensing technology can include image, text, voice, gestures, movement, and other modalities.[2]
The term Affective Computing is ascribed to MIT professor Rosalind Picard, and prominent companies in the field of affective computing include Affectiva and Empathica.[3]
References
- ↑ "How will Affective Computing be applied to E-Commerce AI?". ECN | E-Commerce Nation. 2017-06-07. Retrieved 2019-12-08.
- ↑ "Emotion and Web Design: The Keys to an Affective Ecommerce Websites". TWMG Blog. 2016-06-16. Retrieved 2019-12-08.
- ↑ Salacka, Diana (2017-05-05). "Will affective computing influence e-commerce?". Medium. Retrieved 2019-12-08.
This article "Affective Ecommerce" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Affective Ecommerce. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
