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Surveying Human Habit Modeling and Mining Techniques in Smart Spaces

Dipartimento di Ingegneria Informatica, Automatica e Gestionale Antonio Ruberti, Sapienza Università di Roma, 00185 Rome, Italy
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Future Internet 2019, 11(1), 23; https://doi.org/10.3390/fi11010023
Received: 28 December 2018 / Revised: 13 January 2019 / Accepted: 16 January 2019 / Published: 19 January 2019
(This article belongs to the Special Issue 10th Anniversary Feature Papers)
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Abstract

A smart space is an environment, mainly equipped with Internet-of-Things (IoT) technologies, able to provide services to humans, helping them to perform daily tasks by monitoring the space and autonomously executing actions, giving suggestions and sending alarms. Approaches suggested in the literature may differ in terms of required facilities, possible applications, amount of human intervention required, ability to support multiple users at the same time adapting to changing needs. In this paper, we propose a Systematic Literature Review (SLR) that classifies most influential approaches in the area of smart spaces according to a set of dimensions identified by answering a set of research questions. These dimensions allow to choose a specific method or approach according to available sensors, amount of labeled data, need for visual analysis, requirements in terms of enactment and decision-making on the environment. Additionally, the paper identifies a set of challenges to be addressed by future research in the field. View Full-Text
Keywords: smart spaces; intelligent environments; survey; human habits; modeling smart spaces; intelligent environments; survey; human habits; modeling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Leotta, F.; Mecella, M.; Sora, D.; Catarci, T. Surveying Human Habit Modeling and Mining Techniques in Smart Spaces. Future Internet 2019, 11, 23.

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