From Usable to Incentive Building Energy Management Systems

Amr Alzouhri Alyafi 1, 2 Van-Bao Nguyen 3 Yann Laurillau 3 Patrick Reignier 1 Stephane Ploix 2 Gaëlle Calvary 3 Joëlle Coutaz 3 Monalisa Pal 4 Jean-Philippe Guilbaud 5
1 PERVASIVE - Interaction située avec les objets et environnements intelligents
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, UGA - Université Grenoble Alpes
2 G-SCOP_GCSP - GCSP
G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production
3 LIG Laboratoire d'Informatique de Grenoble - IIHM
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : Reducing energy consumption is an individual and collective challenge that requires people to be proactive and fully involved. However, most approaches and solutions to this problem promote automated and autonomous systems that take full control of the decisions. Although these systems relieve users from setting the temperature in offices and homes, the level of thermal comfort chosen by the technology may not meet the individuals' requirements. Automating control is an obvious solution but it keeps the human out of the loop. In this work, an alternative approach is promoted based on system-human cooperation that allows people to take the final decision. However, to make sound decisions, users need to understand the system functioning and rationale and to be convinced and motivated to change their habits with regard to energy consumption. Our approach is based on an e-coach system, called Involved, that provides users with contextual explanations along with a user interface designed to persuade and keep the user involved. The results of this research are the development of an early prototype that provides end-users with a 24 hour-plan of recommended actions along with contextual explanations that justify each action. This plan satisfies the inhabitant’s preferred compromise between thermal comfort, air quality and financial cost specified by the inhabitant (i.e. user) using a novel interaction technique, the Trade-Off-Pareto sliders. Users can edit the plan (e.g. suppress an action), skip some actions, perform additional actions, or even change their preferred compromise, and be informed in real time of the consequences on energy consumption and comfort.
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Amr Alzouhri Alyafi, Van-Bao Nguyen, Yann Laurillau, Patrick Reignier, Stephane Ploix, et al.. From Usable to Incentive Building Energy Management Systems. Modélisation et utilisation du contexte (Modeling and Using Context), ISTE OpenScience, 2018, 2 (1), pp.1-30. ⟨10.21494/ISTE.OP.2018.0302⟩. ⟨hal-01929051⟩

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