Emotional Intelligence (EI) is the capacity to use emotions to properly guide our actions. In this paper, we adopt the EI approach to explore the interplay between data, emotions, and actions, thus lying the foundations for an emotional approach to querying. The framework we propose relies on a four-layer model that describes (i) how emotions are connected to each other, (ii) which data may give rise to emotions, (iii) which emotions will be triggered in each user when seeing each piece of data, and (iv) which actions will be done as a consequence. The application scenario we propose for our framework is that of Business Intelligence, specifically, of a set of KPIs connected to the users' goals. To illustrate our proposal, we introduce a working example in the field of e-commerce and use the Datalog syntax to formalize it.

Be High on Emotion: Coping with Emotions and Emotional Intelligence When Querying Data

Stefano Rizzi
2023

Abstract

Emotional Intelligence (EI) is the capacity to use emotions to properly guide our actions. In this paper, we adopt the EI approach to explore the interplay between data, emotions, and actions, thus lying the foundations for an emotional approach to querying. The framework we propose relies on a four-layer model that describes (i) how emotions are connected to each other, (ii) which data may give rise to emotions, (iii) which emotions will be triggered in each user when seeing each piece of data, and (iv) which actions will be done as a consequence. The application scenario we propose for our framework is that of Business Intelligence, specifically, of a set of KPIs connected to the users' goals. To illustrate our proposal, we introduce a working example in the field of e-commerce and use the Datalog syntax to formalize it.
2023
New Trends in Database and Information Systems. ADBIS 2023.
82
91
Sandro Bimonte, Patrick Marcel, Stefano Rizzi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/945853
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