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research-article

Smart IoT desk for personalizing indoor environmental conditions

Authors:

Francesco Anselmo,

Burcin Becerik-GerberAuthors Info & Claims

IOT '18: Proceedings of the 8th International Conference on the Internet of Things

Article No.: 35, Pages 1 - 6

https://doi.org/10.1145/3277593.3277614

Published: 15 October 2018 Publication History

Abstract

Occupant satisfaction with indoor environmental conditions remains low in buildings that provide little to no control over the environment. Poor environmental conditions lead to lower productivity and can have negative impacts on health and wellbeing. Personalizing the environment based on user preferences could not only improve health and well-being but also the user satisfaction and productivity. Furthermore, office workers spend most of their working hours in sedentary activities. The use of sit-stand desks has been linked to the reduction of prolonged sitting time resulting in health benefits. By leveraging recent advances in IoT, we monitor the environment around the occupant and utilize different machine learning algorithms to learn their indoor environment related preferences. In this paper, we describe our vision and ongoing work of creating a smart IoT desk that can personalize the environment around the occupant and can act as a support system to drive their behavior towards better environmental settings and improve posture and ergonomics.

References

[1]

Ahmadi-Karvigh, S. et al. 2018. Real-time activity recognition for energy efficiency in buildings. Applied Energy. 211, (Feb. 2018), 146--60.

[2]

Allen, J.G. et al. 2015. Green Buildings and Health. Current Environmental Health Reports. 2, 3 (Sep. 2015), 250--8.

[3]

Aryal, A. and Becerik-Gerber, B. 2018. Energy Consequences of Comfort-driven Temperature Setpoints in Office Buildings. Energy and Buildings. (Aug. 2018).

[4]

van Bommel, W. and van den Beld, G. 2004. Lighting for work: a review of visual and biological effects. Lighting Research & Technology. 36, 4 (Dec. 2004), 255--66.

[5]

Boyce, P.R. 2010. Review: The Impact of Light in Buildings on Human Health. Indoor and Built Environment. 19, 1 (Feb. 2010), 8--20.

[6]

Burzo, M. et al. 2014. Using Infrared Thermography and Biosensors to Detect Thermal Discomfort in a Building's Inhabitants. ASME 2014 International Mechanical Engineering Congress and Exposition (Nov. 2014), V06BT07A015.

[7]

Callaghan, J.P. et al. 2015. Is Standing the Solution to Sedentary Office Work? Ergonomics in Design: The Quarterly of Human Factors Applications. 23, 3 (Jul. 2015), 20--4.

[8]

Carr, L.J. et al. 2016. Total Worker Health Intervention Increases Activity of Sedentary Workers. American Journal of Preventive Medicine. 50, 1 (Jan. 2016), 9--17.

[9]

Chu, A.H.Y. et al. 2016. A systematic review and meta-analysis of workplace intervention strategies to reduce sedentary time in white-collar workers. Obesity Reviews. 17, 5 (May 2016), 467--81.

[10]

Clausen, G. and Wyon, D. 2008. The Combined Effects of Many Different Indoor Environmental Factors on Acceptability and Office Work Performance. HVAC&R Research. 14, 1 (Jan. 2008), 103--13.

[11]

de Dear, R. et al. 1998. Developing an adaptive model of thermal comfort and preference.

[12]

Despenic, M. et al. 2017. Lighting preference profiles of users in an open office environment. Building and Environment. 116, (May 2017), 89--107.

[13]

Dutta, N. et al. 2015. Experience of switching from a traditional sitting workstation to a sit-stand workstation in sedentary office workers. Work. 52, 1 (Aug. 2015), 83--9.

[14]

Erickson, V.L. and Cerpa, A.E. 2012. Thermovote: Participatory Sensing for Efficient Building HVAC Conditioning. BuildSys '12 (New York, New York, USA, 2012), 9.

Digital Library

[15]

Fanger, P.O. 1970. Analysis and Applications in Environmental Engineering. Danish Technical Press. (1970), 244.

[16]

Healy, G.N. et al. 2008. Breaks in Sedentary Time. Diabetes Care. 31, 4 (2008).

[17]

James, P. et al. 2016. Outdoor Light at Night and Breast Cancer Incidence in the Nurses' Health Study II. Environmental Health Perspectives. 125, 8 (2016).

[18]

Jazizadeh, F. et al. 2014. User-led decentralized thermal comfort driven HVAC operations for improved efficiency in office buildings. Energy and Buildings. 70, (2014), 398--410.

[19]

Joines, S. et al. 2015. Adjustable task lighting: Field study assesses the benefits in an office environment. Work. 51, (2015), 471--81.

[20]

Juslen, H. et al. 2007. The influence of controllable task-lighting on productivity: a field study in a factory. Applied Ergonomics. 38, 1 (Jan. 2007), 39--44.

[21]

Karakolis, T. et al. 2016. A comparison of trunk biomechanics, musculoskeletal discomfort and productivity during simulated sit-stand office work. Ergonomics. 59, 10 (Oct. 2016), 1275--87.

[22]

Karol, S. and Robertson, M.M. 2015. Implications of sit-stand and active workstations to counteract the adverse effects of sedentary work: A comprehensive review. Work. 52, 2 (Oct. 2015), 255--67.

[23]

Kim, J. et al. 2018. Personal comfort models - A new paradigm in thermal comfort for occupant-centric environmental control. Building and Environment. (Jan. 2018).

[24]

Klepeis, N.E. et al. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants.

[25]

Luo, M. et al. 2018. Thermal comfort evaluated for combinations of energy-efficient personal heating and cooling devices. Building and Environment. 143, (Oct. 2018), 206--16.

[26]

van Marken Lichtenbelt, W. et al. 2017. Healthy excursions outside the thermal comfort zone. Building Research & Information. (Apr. 2017), 1--9.

[27]

Nagare, R. et al. 2018. Effect of exposure duration and light spectra on nighttime melatonin suppression in adolescents and adults. Lighting Research and Technology. (Mar. 2018), 147715351876300.

[28]

Parry, S. and Straker, L. 2013. The contribution of office work to sedentary behaviour associated risk. BMC public health. 13, (Apr. 2013), 296.

[29]

Pauley, S.M. 2004. Lighting for the human circadian clock: recent research indicates that lighting has become a public health issue. Medical Hypotheses. 63, 4 (Jan. 2004), 588--96.

[30]

Rea, M. and Figueiro, M. 2018. Light as a circadian stimulus for architectural lighting. Lighting Research & Technology. 50, 4 (Jun. 2018), 497--510.

[31]

Sadeghi, S.A. et al. 2018. Bayesian classification and inference of occupant visual preferences in daylit perimeter private offices. Energy and Buildings. 166, (May 2018), 505--24.

[32]

US Department of Energy 2015. US Department of Energy Quadrennial Technology Review.

[33]

Waters, T.R. and Dick, R.B. 2015. Evidence of Health Risks Associated with Prolonged Standing at Work and Intervention Effectiveness. Rehabilitation Nursing. 40, 3 (May 2015), 148--65.

Cited By

Patankar SSwami RNanivadekar S(2024)Enhancing Energy Efficiency in Commercial Office Buildings: A Smart IoT and Machine Vision Approach2024 2nd World Conference on Communication & Computing (WCONF)10.1109/WCONF61366.2024.10691999(1-5)Online publication date: 12-Jul-2024
https://doi.org/10.1109/WCONF61366.2024.10691999
Li BTavakoli AHeydarian A(2023)Occupant privacy perception, awareness, and preferences in smart office environmentsScientific Reports10.1038/s41598-023-30788-513:1Online publication date: 11-Mar-2023
https://doi.org/10.1038/s41598-023-30788-5
Hong JWang XEveritt ARoudaut A(2023)Interacting with actuated wallsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102986172:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.ijhcs.2022.102986
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Published In

cover image ACM Other conferences

IOT '18: Proceedings of the 8th International Conference on the Internet of Things

October 2018

299 pages

ISBN:9781450365642

DOI:10.1145/3277593

Conference Chairs:
Krzysztof Janowicz
University of California, Santa Barbara
,
Werner Kuhn
University of California, Santa Barbara
,
Program Chairs:
Federica Cena
University of Torino, Italy
,
Armin Haller
Australian National University, Australia
,
Kyriakos G. Vamvoudakis
Georgia Institute of Technology, Georgia Tech

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2018

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IOT '18

IOT '18: 8th International Conference on the Internet of Things

October 15 - 18, 2018

California, Santa Barbara, USA

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Overall Acceptance Rate 28 of 84 submissions, 33%

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Cited By

Patankar SSwami RNanivadekar S(2024)Enhancing Energy Efficiency in Commercial Office Buildings: A Smart IoT and Machine Vision Approach2024 2nd World Conference on Communication & Computing (WCONF)10.1109/WCONF61366.2024.10691999(1-5)Online publication date: 12-Jul-2024
https://doi.org/10.1109/WCONF61366.2024.10691999
Li BTavakoli AHeydarian A(2023)Occupant privacy perception, awareness, and preferences in smart office environmentsScientific Reports10.1038/s41598-023-30788-513:1Online publication date: 11-Mar-2023
https://doi.org/10.1038/s41598-023-30788-5
Hong JWang XEveritt ARoudaut A(2023)Interacting with actuated wallsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102986172:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.ijhcs.2022.102986
Rimbeck MReil HStumpf-Wollersheim JLeyer M(2023)How the Internet of Things is reshaping teamwork: An experimental studyComputers in Industry10.1016/j.compind.2023.103902148(103902)Online publication date: Jun-2023
https://doi.org/10.1016/j.compind.2023.103902
Zhang XZheng PPeng THe QLee CTang R(2023)Promoting employee health in smart officeAdvanced Engineering Informatics10.1016/j.aei.2021.10151851:COnline publication date: 15-Mar-2023
https://dl.acm.org/doi/10.1016/j.aei.2021.101518
Fodor KBalogh ZMolnár G(2023)The Use of Smart Devices for Assessing the User’s Physiological StatusProceedings of the Future Technologies Conference (FTC) 2023, Volume 310.1007/978-3-031-47457-6_2(18-30)Online publication date: 9-Nov-2023
https://doi.org/10.1007/978-3-031-47457-6_2
Constantinou SKonstantinidis AChrysanthis PZeinalipour-Yazti D(2022)Green Planning of IoT Home Automation Workflows in Smart BuildingsACM Transactions on Internet of Things10.1145/35495493:4(1-30)Online publication date: 6-Sep-2022
https://dl.acm.org/doi/10.1145/3549549
Chamunorwa MWozniak MVöge SMüller HBoll S(2022)Interacting with Rigid and Soft Surfaces for Smart-Home ControlProceedings of the ACM on Human-Computer Interaction10.1145/35467466:MHCI(1-22)Online publication date: 20-Sep-2022
https://dl.acm.org/doi/10.1145/3546746
Dissanayake VTang VElvitigala DWen EWu MNanayakkara S(2022)TroiProceedings of the ACM on Human-Computer Interaction10.1145/35467386:MHCI(1-22)Online publication date: 20-Sep-2022
https://dl.acm.org/doi/10.1145/3546738
Sivek GRiley M(2022)Spatial Model Personalization in GboardProceedings of the ACM on Human-Computer Interaction10.1145/35467376:MHCI(1-17)Online publication date: 20-Sep-2022
https://dl.acm.org/doi/10.1145/3546737
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