Augmented reality allows users to superimpose digital information (typically, of operational type) upon real world entities. The synergy of analytical frameworks and augmented reality opens the door to a new wave of situated OLAP, in which users within a physical environment are provided with immersive analyses of local contextual data. In this paper we propose an approach that, based on the sensed augmented context (provided by wearable and smart devices), proposes a set of relevant analytical queries to the user. This is done by relying on a mapping between the entities that can be recognized by the devices and the elements of the enterprise data, and also taking into account the queries preferred by users during previous interactions that occurred in similar contexts. A set of experimental tests evaluates the proposed approach in terms of efficiency and effectiveness.

Augmented Business Intelligence / Matteo Francia, Matteo Golfarelli, Stefano Rizzi. - ELETTRONICO. - (2019), pp. 1-10. (Intervento presentato al convegno Workshops of the EDBT/ICDT 2019 Joint Conference tenutosi a Lisbon, Portugal nel March 26, 2019).

Augmented Business Intelligence

FRANCIA, MATTEO;Matteo Golfarelli;Stefano Rizzi
2019

Abstract

Augmented reality allows users to superimpose digital information (typically, of operational type) upon real world entities. The synergy of analytical frameworks and augmented reality opens the door to a new wave of situated OLAP, in which users within a physical environment are provided with immersive analyses of local contextual data. In this paper we propose an approach that, based on the sensed augmented context (provided by wearable and smart devices), proposes a set of relevant analytical queries to the user. This is done by relying on a mapping between the entities that can be recognized by the devices and the elements of the enterprise data, and also taking into account the queries preferred by users during previous interactions that occurred in similar contexts. A set of experimental tests evaluates the proposed approach in terms of efficiency and effectiveness.
2019
Proceedings Workshops of the EDBT/ICDT 2019 Joint Conference
1
10
Augmented Business Intelligence / Matteo Francia, Matteo Golfarelli, Stefano Rizzi. - ELETTRONICO. - (2019), pp. 1-10. (Intervento presentato al convegno Workshops of the EDBT/ICDT 2019 Joint Conference tenutosi a Lisbon, Portugal nel March 26, 2019).
Matteo Francia, Matteo Golfarelli, Stefano Rizzi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/664671
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