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.
This work has been supported by the French National Research Agency under the IDEX-ISITE project, initiative 16-IDEX-0001 (CAP 20-25), and the project ANR-20-PCPA-0002.
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Bimonte, S., Marcel, P., Rizzi, S. (2023). Be High on Emotion: Coping with Emotions and Emotional Intelligence when Querying Data. In: Abelló, A., et al. New Trends in Database and Information Systems. ADBIS 2023. Communications in Computer and Information Science, vol 1850. Springer, Cham. https://doi.org/10.1007/978-3-031-42941-5_8
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