There are several situations where the success of a product or a service depends on people’s emotional reactions while interacting with it. Feelings depends on the personal reac- tion to the values it offers. Therefore, it is not possible to presume that all persons will share the same reactions. An important challenge that designers have to face is to measure such feelings at every digital and physical touch- point encountered by the customer and in which an experi- ence takes place. In this context, the present research proposes an emotional-sensitive system able to measure the custom- er’s emotion and behavior and responsively adapt the experience to generate an individualized human-system interaction. It enables a continuous flow between analysis and reaction at every touchpoint of the customer experi- ence. The paper illustrates the implementing technological framework, developed by EMOJ, an Italian startup leader in Artificial Intelligence (AI), and several applicative use cases.

How to Create Engaging Experiences From Human Emotions

silvia Ceccacci;Luca Giraldi;
2021-01-01

Abstract

There are several situations where the success of a product or a service depends on people’s emotional reactions while interacting with it. Feelings depends on the personal reac- tion to the values it offers. Therefore, it is not possible to presume that all persons will share the same reactions. An important challenge that designers have to face is to measure such feelings at every digital and physical touch- point encountered by the customer and in which an experi- ence takes place. In this context, the present research proposes an emotional-sensitive system able to measure the custom- er’s emotion and behavior and responsively adapt the experience to generate an individualized human-system interaction. It enables a continuous flow between analysis and reaction at every touchpoint of the customer experi- ence. The paper illustrates the implementing technological framework, developed by EMOJ, an Italian startup leader in Artificial Intelligence (AI), and several applicative use cases.
2021
Bononia University Press
Internazionale
https://www.diid.it/diid/index.php/diid/article/view/diid74-mengoni-ceccacci-giraldi-montanari
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11393/300382
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