=Paper= {{Paper |id=Vol-2905/paper12 |storemode=property |title=A Smart Approach? Raising Uncomfortable Questions about Building Automation in the Workplace |pdfUrl=https://ceur-ws.org/Vol-2905/paper12.pdf |volume=Vol-2905 |authors=Christina Bremer |dblpUrl=https://dblp.org/rec/conf/chi/Bremer21 }} ==A Smart Approach? Raising Uncomfortable Questions about Building Automation in the Workplace== https://ceur-ws.org/Vol-2905/paper12.pdf
A Smart Approach? Raising Uncomfortable Questions about Building
Automation in the Workplace

CHRISTINA BREMER, Lancaster University, United Kingdom
Building automation in the workplace is argued to open the door to a more energy-efficient and, thus, more sustainable future.
The need for human interaction is replaced with automatic control and allowing algorithms to make autonomous decisions for
the buildings’ energy systems, like heating, lighting and air conditioning. However, automation takes away the occupants’ agency
leading to unexpected rebound effects, and may itself require energy-consuming elaborate algorithms, new sensors, data storage and
computational infrastructure. I ask, is office building automation really a viable approach for the people and the planet? Or is the
rhetoric of automation helping us turn a blind eye to the fact that we should invest our energy fundamentally differently? In this
position paper I raise questions about the social and environmental sustainability of office building automation and the power of those
who are made uncomfortable so we can all feel a little bit better about ourselves.

CCS Concepts: • Social and professional topics → Sustainability; • Human-centered computing → Human computer interaction
(HCI).

Additional Key Words and Phrases: energy, automation, human-building interaction

ACM Reference Format:
Christina Bremer. 2021. A Smart Approach? Raising Uncomfortable Questions about Building Automation in the Workplace. In
Proceedings of AutomationXP'21: Workshop on Automation Experience at the Workplace. In conjunction with CHI'21, May 07, 2021.


1   INTRODUCTION
The construction and operation of buildings consumes vast amounts of energy. In fact, the buildings and construction
sector is responsible for 36% of the consumed energy and 39% of CO2 emissions, globally [10]. With the current climate
crisis, it stands to reason that we as humans are actively trying to reduce the energy consumption of buildings to
meet our climate targets. An approach that presents itself is building automation. In other words, we are aiming to
make buildings more energy efficient by centrally monitoring and controlling their internal systems, including heating,
cooling, ventilation, air conditioning and lighting [7]. With improved data and models, it is argued, we can even
address the well-known energy performance gap, where buildings do not deliver on their promised design performance
(e.g. [8], [9]). While there exist other reasons to automate buildings, linked improved security and comfort, energy
savings often provide an important incentive. Critically this forgets the occupants, the impact of their responses but also
the many ways in which the energy and carbon footprint of a building is governed by the building and its infrastructure,
and not day-to-day activity.
    Building automation can be implemented in many kinds of building. This position paper focuses on office buildings
and workplace environments. Compared to domestic environments, offices do not come with a small and well-defined
set of stakeholders that financially benefit from energy savings and that have a personal relationship to the gathered
energy data. This can make them challenging research contexts, but all the more interesting if we wish to do something
Author’s address: Christina Bremer, c.bremer@lancaster.ac.uk, Lancaster University, Lancaster, United Kingdom.

Workshop proceedings Automation Experience at the Workplace
In conjunction with CHI'21, May 7th, 2021, Yokohama, Japan
Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Website: http://everyday-automation.tech-experience.at
                                                                                                                                          1
about their climate impact as many of us spend a significant amount of time in office buildings, and thus have a stake in
this challenge.


2   BUILDING AUTOMATION’S HIDDEN COSTS AND VARIABLES
A key aim of building automation is to reduce the building’s operational energy. As opposed to embodied energy,
operational energy is used for everyday maintenance and to create comfortable conditions for building occupants [15].
While it sounds like a compelling case, the amount of energy a building requires to be maintained, independent of
its occupancy status, sets boundaries for the energy-saving potential of efficiency me asures. Mo re troubling still,
potential efficiency gains can paradoxically lead to worse environmental performance: Jevons paradox, perhaps the
most well-known paradox in environmental economics, describes an energy consumption increase following from
energy-efficiency improvements due to increased demand [2]. At the same time, building automation itself requires
energy to e.g. run and maintain the sensor equipment, algorithms and data storage [12]. Additional overhead which is
seldom factored into the analysis of promised improvements.
    If we decide that building automation is a worthwhile pursuit nevertheless, we still need to tackle the energy
performance gap observed in traditional buildings, i.e. a widespread discrepancy between the predicted and measured
energy consumption. A 2018 meta review shows that the actual vs. modelled consumption of buildings can be up to 2.5
times higher [19]. Another study analysing 62 non-domestic buildings in the UK found the average discrepancy to be
+34% [18]. The reasons for the gap, including sub-optimal modelling strategies, malfunctioning equipment, operational
practices and occupant behaviour, equally apply to automated buildings. And the material and algorithmic complexity
of these buildings won’t make closing the gap any easier. The reasons behind the energy performance gap also highlight
the socio-technical nature of energy systems, including broader rebounds from the impact of occupant behaviour.
Encouraging occupants to behave more sustainably is difficult, as can be seen from sustainable HCI research which has
traditionally focused on behaviour change to lower energy bills [6]; both the limited impact of this approach [13] and
underlying assumption that people behave as rational actors [4] have been widely criticised. At the same time, the
human-building interaction community has raised important questions about the role of data and occupants, addressing
fairness and organisational aspects (e.g. [5], [14]). I believe that such questions can also enhance big picture discussions
about the goals and potential of building automation.


3   THE ROLE OF OCCUPANTS
Occupant behaviour and response to automation can have a substantial knock-on effect in terms of energy impact. Office
workers who are too cold in the office may well not limit their response to putting on a thicker jumper. Instead, they find
workarounds to adjust the room temperature, defying the energy-saving purpose of building automation. Interviewing
building and energy experts working on Lancaster University’s main campus, I learned that this is a common occurrence.
One engineer suggested, “people not using electric heaters” as the key measure to reduce the energy consumption on
campus. Another expert described the role of occupants as, “They [the occupants] have huge control even though the
engineer might not think that they do. I mean they leave windows open and they they walk in and out of the building. They
can complain about things. Building is an ecosystem made up of the building management system and the people, isn’t it?”.
Similar patterns were noted elsewhere: an in-depth study of energy consumption and management in a workplace
found that participants raised a lack of thermal control, yet the authors observed various adjustments to circumvent
systems and policy for participants to regain control over their personal environments [3]. These findings indicate
that energy savings from building automation can be substantially reduced by occupant behaviour. An indication that
should let us think carefully about the prospects of success of building automation as a top-down approach.
    When we automate buildings in which people work, we take away peoples’ agency. Where they could make their
own, albeit often communal decisions, these are now made by algorithms. This shift is not inherently negative, but it
can become so. Occupants are not per se against building automation in the workplace—in fact they often welcome
it—but their individual habits, needs and preferences differ. In a 2015 scenario-based survey, participants preferred
less automated energy conservation systems (but not manual) when they were concerned about comfort, and more
automation (but not full automation) when they were concerned about energy savings [16]. In a residential context, a
study by Ahmadi-Karvigh et al. [1] shows that individuals’ personalities and demographic characteristics also affect
automation preferences. This important diversity is often forgotten in favour of considering ‘generic occupants’.
For instance, in one of the most major areas of energy demand, achieving thermal comfort: standards regulating
office temperature are derived from early climate chamber studies involving ‘a default male’ metabolism and dress
code. These do not cater for women, who prefer higher room temperatures than men, and feel both uncomfortably
cold and uncomfortably hot more often [11]. As workplaces call for productivity and collaboration, leaving workers
uncomfortable or effectively ignored can negatively impact their performance and job satisfaction. From a fairness
perspective, how uncomfortable are we allowed to make people? And does this depend on how good our intentions are?

4   DISCUSSION
Considering the different thermal needs and preferences of office workers, automated energy systems can easily lead
to discomfort. Paired with reduced agency, research suggests that office workers will find workarounds—which defy
the energy-saving purpose of building automation. But if we need to hand back (some of) the control to avoid such
workarounds, should we automate buildings in the first place? We certainly cannot expect occupants of automated office
buildings to behave like robots, just as Strengers [17] points out that we cannot expect residential energy consumers to
behave like ‘resource men’. Occupants are human, they are us. And what kind of building would you like to live and
work in? Would your answer change if you knew the contribution it made towards climate change mitigation? What if
that contribution was small, would you still invite discomfort into your everyday work life?
    Research suggests that building automation might not save us as much energy as it promises, ignoring rebounds,
occupants and how buildings are really used, and that very significant demands are linked to the buildings’ infrastructure
and not linked to occupant behaviour at all. Yet the claimed potential for automation gives us the impression that we are
doing something to mitigate climate change. In some areas of life, every little helps, but when it comes to climate change
should we not think carefully about the most promising path to success? If we invest in a technology that reassures
us without helping much, could that not make matters worse? Smart buildings and cities are still in their infancy so
there is much to test, explore and innovate. But it also means that we can still shape the message and associations that
come with smart buildings. And we can redirect our focus if we come to the conclusion that our energy is better spent
elsewhere.

5   FUTURE WORK
In my PhD research I investigate the sustainability promises and potential of building automation from a socio-technical
perspective. This includes the role and impact of occupants. Using the Lancaster University campus as a case study,
I am currently analysing the energy patterns before and after the onset of the first lockdown to better understand
the energy-saving potential of occupant behaviour change. Currently on hold due to COVID-19 is an intervention
study I designed to further explore the reactions of occupants to office building automation; these reactions can reduce
the calculated energy savings and drive rebound effects. I believe that taking part in the workshop and discussing
automation experience in the workplace with HCI experts will help me interpret the data I have collected and broaden
my horizons for upcoming research. In return I can offer my knowledge on buildings, energy systems and workplace
psychology.

ACKNOWLEDGMENTS
I would like to thank Bran Knowles and Adrian Friday for their valuable feedback and support, and my participants for
taking part in the interview study. The work is funded by the Leverhulme Centre for Material Social Futures Research
(DS-2017-036).

REFERENCES
 [1] Simin Ahmadi-Karvigh, Ali Ghahramani, Burcin Becerik-Gerber, and Lucio Soibelman. 2017. One size does not fit all: Understanding user preferences
     for building automation systems. Energy and Buildings 145 (2017), 163–173.
 [2] Blake Alcott. 2005. Jevons’ paradox. Ecological economics 54, 1 (2005), 9–21.
 [3] Ben Bedwell, Enrico Costanza, and Michael O Jewell. 2016. Understanding energy consumption at work: Learning from arrow hill. In Proceedings of
     the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. 1337–1348.
 [4] Hrönn Brynjarsdóttir, Maria Håkansson, James Pierce, Eric Baumer, Carl DiSalvo, and Phoebe Sengers. 2012. Sustainably unpersuaded: how
     persuasion narrows our vision of sustainability. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 947–956.
 [5] Adrian K Clear, Sam Mitchell Finnigan, Patrick Olivier, and Rob Comber. 2017. " I’d Want to Burn the Data or at Least Nobble the Numbers" Towards
     Data-mediated Building Management for Comfort and Energy Use. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative
     Work and Social Computing. 2448–2461.
 [6] Carl DiSalvo, Phoebe Sengers, and Hrönn Brynjarsdóttir. 2010. Mapping the landscape of sustainable HCI. In Proceedings of the SIGCHI conference on
     human factors in computing systems. 1975–1984.
 [7] Pedro Domingues, Paulo Carreira, Renato Vieira, and Wolfgang Kastner. 2016. Building automation systems: Concepts and technology review.
     Computer Standards & Interfaces 45 (2016), 1–12.
 [8] António Figueiredo, Jérôme Kämpf, Romeu Vicente, Rui Oliveira, and Tiago Silva. 2018. Comparison between monitored and simulated data using
     evolutionary algorithms: Reducing the performance gap in dynamic building simulation. Journal of Building Engineering 17 (2018), 96–106.
 [9] Matthew Horrigan, Edward Murphy, and James O’Donnell. 2017. Bridging the environmental and energy performance gap in buildings through
     simulation, measurement and data analysis. IBPSA.
[10] IEA. 2019. Global Status Report for Buildings and Construction 2019. https://www.iea.org/reports/global-status-report-for-buildings-and-construction-
     2019
[11] Sami Karjalainen. 2007. Gender differences in thermal comfort and use of thermostats in everyday thermal environments. Building and environment
     42, 4 (2007), 1594–1603.
[12] P Kräuchi, C Dahinden, D Jurt, V Wouters, U-P Menti, and O Steiger. 2017. Electricity consumption of building automation. Energy Procedia 122
     (2017), 295–300.
[13] Jennifer Mankoff. 2012. HCI and sustainability: a tale of two motivations. Interactions 19, 3 (2012), 16–19.
[14] Samantha Mitchell Finnigan and Adrian K Clear. 2020. "No powers, man!": A Student Perspective on Designing University Smart Building Interactions.
     In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–14.
[15] Thillaigovindan Ramesh, Ravi Prakash, and KK Shukla. 2010. Life cycle energy analysis of buildings: An overview. Energy and buildings 42, 10
     (2010), 1592–1600.
[16] Pei-Luen Patrick Rau, Yun Gong, Yi-Bo Dai, and Chieh Cheng. 2015. Promote energy conservation in automatic environment control: A comfort-
     energy trade-off perspective. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems.
     1501–1506.
[17] Yolande Strengers. 2014. Smart energy in everyday life: are you designing for resource man? interactions 21, 4 (2014), 24–31.
[18] Chris Van Dronkelaar, Mark Dowson, E Burman, Catalina Spataru, and Dejan Mumovic. 2016. A review of the energy performance gap and its
     underlying causes in non-domestic buildings. Frontiers in Mechanical Engineering 1 (2016), 17.
[19] Patrick XW Zou, Xiaoxiao Xu, Jay Sanjayan, and Jiayuan Wang. 2018. Review of 10 years research on building energy performance gap: Life-cycle
     and stakeholder perspectives. Energy and Buildings 178 (2018), 165–181.