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 is that of Business Intelligence, specifically, of a set of KPIs connected to the users' goals.

Sandro Bimonte, Patrick Marcel, Stefano Rizzi (2024). Emotional Data Querying: The BI Scenario.

Emotional Data Querying: The BI Scenario

Stefano Rizzi
2024

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 is that of Business Intelligence, specifically, of a set of KPIs connected to the users' goals.
2024
SEBD 2024. Symposium on Advanced Database Systems 2024. Proceedings of the 32nd Symposium of Advanced Database Systems
122
130
Sandro Bimonte, Patrick Marcel, Stefano Rizzi (2024). Emotional Data Querying: The BI Scenario.
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/11585/981153
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