What drives our behaviors in buildings? A review on occupant interactions with building systems from the lens of behavioral theories

Heydarian, Arsalan; McIlvennie, Claire; Arpan, Laura M.; Yousefi, Siavash; Syndicus, Marc; Schweiker, Marcel; Jazizadeh, Farrokh; Rissetto, Romina; Pisello, Anna Laura; Piselli, Cristina; Berger, Christiane; Yan, Zhuxuan; Mahdavi, Ardeshir

doi:10.1016/j.buildenv.2020.106928

Cited by 92 publications

(46 citation statements)

References 134 publications

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“…However, to our knowledge, no common practical approaches, methods, and tools have been introduced to measure the ecological valency afforded by the buildings' systems and their user interfaces toward the provision of individual control opportunities to the occupants. While previous efforts have explored the applicability of various psychological and social theories to the subject of occupants' interactions with buildings' systems [19], they have not directly addressed the specific question posed in the present contribution: How do we measure the effectiveness of buildings' control devices in view of the indoor-environmental control opportunities that they offer to the occupants?…”

Section: Discussionmentioning

confidence: 99%

“…Evidence for this assertion can be provided, for instance, via reference to a recent publication, which involved a comprehensive review of "occupant interactions with building systems from the lens of behavioral theories" [19]. The effort underlying this publication involved the detailed review of 135 studies reporting the utilization of various theories to shed light on occupants' interactions with building systems.…”

Section: Controllability As An Indoor-environmentally Relevant Quality Attribute Of Buildingsmentioning

confidence: 99%

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An Occupant-Centric Theory of Building Control Systems and Their User Interfaces

2021

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This paper presents an occupant-centric theory of buildings’ indoor-environmental control systems and their user interfaces. Buildings typically can have multiple devices and systems to maintain indoor-environmental conditions within certain ranges in order to meet occupants’ health and comfort requirements. Therefore, it is important to understand what those ranges are exactly, who defines them, and for whom. Health and comfort sciences offer some broad directions concerning desirable indoor conditions. These are typically formulated in various codes, standards, and guidelines in terms of target values or the set points of control variables. However, preferable conditions may differ at different times and for different individuals. Another question concerns the agency responsible for maintaining the preferred conditions. In some settings, conditions may be centrally controlled via the buildings’ automation systems, whereas in other settings, occupants might have the possibility to control their immediate surroundings. Given these qualifications, the objective of the present inquiry can be stated more precisely. We outline a human-ecologically inspired theory pertaining to the occupants’ perception of and interaction with a building’s indoor-environmental control systems and their user interfaces. Specifically, we explore the operationalization potential of the proposed theory as a compact assessment protocol for the evaluation of buildings’ responsiveness to occupants’ preferences. Initial experiences with the derivative protocol are promising. Nonetheless, in order to be fully applicable in practice, certain challenges must be addressed. These specifically include the need for more robust procedures toward the translation of occupants’ subjective judgments into quantitative evaluation scales.

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Section: Discussionmentioning

confidence: 99%

Section: Controllability As An Indoor-environmentally Relevant Quality Attribute Of Buildingsmentioning

confidence: 99%

An Occupant-Centric Theory of Building Control Systems and Their User Interfaces

2021

Self Cite

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“…Some researchers believe that the occupant thermal adaptation behavior within the indoor thermal environment is the most essential factor affecting building energy consumption [90,91]. In addition, the social environment and occupant energy consumption habits and attitudes all contribute to the building energy consumption patterns [91][92][93]. Studies have shown that different occupant habits could lead to a huge difference in building energy consumption [94,95].…”

Section: Nomentioning

confidence: 99%

A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management

Ding

Liu

et al. 2020

Energies

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The rapid increase in the number of online resources and academic articles has created great challenges for researchers and practitioners to efficiently grasp the status quo of building energy-related research. Rather than relying on manual inspections, advanced data analytics (such as text mining) can be used to enhance the efficiency and effectiveness in literature reviews. This article proposes a text mining-based approach for the automatic identification of major research trends in the field of building energy management. In total, 5712 articles (from 1972 to 2019) are analyzed. The word2vec model is used to optimize the latent Dirichlet allocation (LDA) results, and social networks are adopted to visualize the inter-topic relationships. The results are presented using the Gephi visualization platform. Based on inter-topic relevance and topic evolutions, in-depth analysis has been conducted to reveal research trends and hot topics in the field of building energy management. The research results indicate that heating, ventilation, and air conditioning (HVAC) is one of the most essential topics. The thermal environment, indoor illumination, and residential building occupant behaviors are important factors affecting building energy consumption. In addition, building energy-saving renovations, green buildings, and intelligent buildings are research hotspots, and potential future directions. The method developed in this article serves as an effective alternative for researchers and practitioners to extract useful insights from massive text data. It provides a prototype for the automatic identification of research trends based on text mining techniques.

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“…With the coordinates obtained at each moment from the location devices, the distances in meters among subjects were calculated through Equation (1). On the other hand, the data of these coordinates turned into another origin or scale easier to be used when used in the graphs in which the layout of the dwelling was superimposed at a scale that coincided with that of the new coordinate system (Figure 3), thus creating location maps which represented, with points of different color, the place where each subject stayed at each moment.…”

Section: Data Collection and Processingmentioning

confidence: 99%

“…

Certain behaviors and characteristics of individuals are directly related to the level of infection risk, [1][2][3] and close contacts are the main causes of the expansion of many viral respiratory diseases. [4][5][6][7][8][9] These close contacts usually entail a certain interpersonal distance which facilitates the inhalation of viral droplets.

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mentioning

confidence: 99%

Distances of transmission risk of COVID‐19 inside dwellings and evaluation of the effectiveness of reciprocal proximity warning sounds

2020

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One of the main modes of transmission and propagation of COVID‐19 (SARS‐CoV‐2) is the direct contact with respiratory droplets transmitted among individuals at a certain distance. There are indoor spaces, such as dwellings, in which the transmission risk is high. This research aims to record and analyze risk close contacts in this scope, experimentally assessing the effectiveness of using electronic proximity warning sound devices or systems. For this purpose, the methodology is based on monitoring the location of the occupants of a dwelling. Then, the days in which a proximity warning sound system is installed and activated are compared to the days in which the system is not activated. The results stressed the significant reduction of time and number of close contacts among individuals when the warning was activated. Regarding the relation between the number and the duration of close contacts, together with the reductions mentioned, the possibility of making certain predictions based on the distributions obtained is proved. All this contributes to the progress in the prevention of COVID‐19 transmission because of close contacts in dwellings.

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What drives our behaviors in buildings? A review on occupant interactions with building systems from the lens of behavioral theories

Cited by 92 publications

References 134 publications

An Occupant-Centric Theory of Building Control Systems and Their User Interfaces

An Occupant-Centric Theory of Building Control Systems and Their User Interfaces

A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management

Distances of transmission risk of COVID‐19 inside dwellings and evaluation of the effectiveness of reciprocal proximity warning sounds

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