“Will the Last One Out, Please Turn off the Lights”: Promoting Energy Awareness in Public Areas of Office Buildings

Coutaz, Joëlle; Carlesso, Antonin; Bonnefond, Nicolas; Balzarini, Raffaella; Laurillau, Yann; Mandran, Nadine; Crowley, James L.

doi:10.1007/978-3-030-03062-9_2

Cited by 6 publications

(7 citation statements)

References 23 publications

(15 reference statements)

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“…In their ethnographic study, Davidoff et al observe that ordinary life is punctuated by key moments, such as leaving for work, that require focusing attention on demanding activities. In addition, users' knowledge about technical and persuasive systems improves over time, which in turn may result in loss of interest [7,51].…”

Section: Domestic Environment and Design Implicationsmentioning

confidence: 99%

“…Abstraction can bundle large data sets into synthetized at-a-glance information. For instance, in Figure 2, the particles that fall from the top of the screen at different speeds, sizes and colors, express the electricity consumption of an office building in real time [7]. On the other hand, People Garden message board is a flower garden that informs users about their social environment [55]: each user is represented by an abstract flower whose shape, color, and position evolve according to time and the number of messages posted by this person.…”

Section: Abstract Representationsmentioning

confidence: 99%

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The Mondrian User Interface Pattern: Inspiring Eco-responsibility in Homes

Laurillau

Coutaz

Calvary

et al. 2021

Towards Energy Smart Homes

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The increase in energy demand has motivated a large body of research, using a diverse collection of approaches to reduce domestic energy use. One promising approach to this societal problem is the development of systems that cooperate with the residents combined with digital behavior changes interventions.In this chapter, we present the Mondrian User Interface pattern intended to help system developers to structure and populate the interactive components of their system in order to inspire eco-responsibility. The Mondrian UI serves as an ambient decorative display that supports different levels of users' attention investment while sustaining daily use. Like Mondrian's Collections, the Mondrian UI pattern divides the screen into rectangles of different sizes painted in primary colors. The rectangles contain information that can be zoomed-in and zoomed-out to support multi-level representations of the same semantic information while maintaining informational context accessible. In order to minimize attentional effort, the toplevel content of a rectangle is intended to communicate information at-a-glance while the other levels provide analytic details on demand with minimalist oneclick interaction. Each rectangle of the Mondrian UI is populated with ecoinspiring content such as spatio-temporal information about energy use, recommendations and explanations, and social incentives, or with utilitarian content, such as the weather forecast, that family members have the habit of consulting frequently. Utilitarian content along with the display located in a socializing place, are intended to enforce the daily use of eco-inspiring information. We have applied the Mondrian UI pattern to the design and implementation of the user interface of an e-coach electricity management system.

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Section: Domestic Environment and Design Implicationsmentioning

confidence: 99%

Section: Abstract Representationsmentioning

confidence: 99%

The Mondrian User Interface Pattern: Inspiring Eco-responsibility in Homes

Laurillau

Coutaz

Calvary

et al. 2021

Towards Energy Smart Homes

Self Cite

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“…POW meters, Smart Switches, etc.) 6 and the second type was custom type of devices based on EPS8266 chip (NodeMCU, Wemos). The ESP8266 chip was selected based on the capability of its 2.4GHz wireless connectivity and low power consumption 7 .…”

Section: System Setupmentioning

confidence: 99%

“…Considering the impact of motivating the user to change their everyday energy consumption, we identify the need for information technology solutions that address the problem of engaging users in adopting more sustainable energy usage tactics [6]. Everyday energy-related behavior is definitely driven by the user needs and desires.…”

Section: Introductionmentioning

confidence: 99%

“…An office at the Harokopio University of Athens has been used for testing 6. https://sonoff.itead.cc/en/ 7 https://www.espressif.com/sites/default/files/documentation/esp8266-technical_reference_en.pdf 8 https://github.com/arendst/Sonoff-Tasmota/wiki 9 http://www.image.micros.com.pl/_dane_techniczne_auto/cz%20am312.pdf 10 https://www.mouser.com/ds/2/758/DHT11-Technical-Data-Sheet-Translated-Version-1143054.pdf…”

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confidence: 99%

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Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study

Sardianos¹,

Varlamis²,

Chronis³

et al. 2020

Preprint

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The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transition to more sustainable models of energy consumption behaviors. User energy consumption is inductively derived from the time-to-time standards of living that shape the user's everyday consumption habits. This work builds on the detection of repeated usage consumption patterns from consumption logs. It presents the structure and operation of an energy consumption reduction system, which employs a set of sensors, smart-meters and actuators in an office environment and targets specific user habits. Using our previous research findings on the value of energy-related micro-moment recommendations, the implemented system is an integrated solution that avoids unnecessary energy consumption. With the use of a messaging API, the system recommends to the user the proper energy saving action at the right moment and gradually shapes user's habits. The solution has been implemented on the Home Assistant open source platform, which allows the definition of automations for controlling the office equipment. Experimental evaluation with several scenarios shows that the system manages first to reduce energy consumption, and second, to trigger users' actions that could potentially urge them to more sustainable energy consumption habits. KeywordsAppliances identification • feature extraction • time-domain descriptor • dimensionality reduction • FNPA-QR • bagging decision tree (BDT).

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