Emotional data querying: The BI scenario - INSA CENTRE VAL DE LOIRE
Communication Dans Un Congrès Année : 2024

Emotional data querying: The BI scenario

Résumé

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.
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hal-04698436 , version 1 (16-09-2024)

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  • HAL Id : hal-04698436 , version 1

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Sandro Bimonte, Patrick Marcel, Stefano Rizzi. Emotional data querying: The BI scenario. 32nd Symposium on Advanced Database Systems (SEBD 2024), Università degli studi di Cagliari, Jun 2024, Villasimius, Sardinia, Italy. ⟨hal-04698436⟩
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