IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13534-d947541.html
   My bibliography  Save this article

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling

Author

Listed:
  • Eman Alqahtani

    (Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Nourah Janbi

    (Department of Information Technology, College of Computing, and Information Technology at Khulais, University of Jeddah, Jeddah 21959, Saudi Arabia)

  • Sanaa Sharaf

    (Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Rashid Mehmood

    (High Performance Computing Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

Homes are the building block of cities and societies and therefore smart homes are critical to establishing smart living and are expected to play a key role in enabling smart, sustainable cities and societies. The current literature on smart homes has mainly focused on developing smart functions for homes such as security and ambiance management. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize the overarching roles of smart homes, and the roles of smart homes that will serve the needs of future smart cities and societies. This paper introduces our data-driven parameter discovery methodology and uses it to provide, for the first time, an extensive, fairly comprehensive, analysis of the families and homes landscape seen through the eyes of academics and the public, using over a hundred thousand research papers and nearly a million tweets. We developed a methodology using deep learning, natural language processing (NLP), and big data analytics methods (BERT and other machine learning methods) and applied it to automatically discover parameters that capture a comprehensive knowledge and design space of smart families and homes comprising social, political, economic, environmental, and other dimensions. The 66 discovered parameters and the knowledge space comprising 100 s of dimensions are explained by reviewing and referencing over 300 articles from the academic literature and tweets. The knowledge and parameters discovered in this paper can be used to develop a holistic understanding of matters related to families and homes facilitating the development of better, community-specific policies, technologies, solutions, and industries for families and homes, leading to strengthening families and homes, and in turn, empowering sustainable societies across the globe.

Suggested Citation

  • Eman Alqahtani & Nourah Janbi & Sanaa Sharaf & Rashid Mehmood, 2022. "Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling," Sustainability, MDPI, vol. 14(20), pages 1-65, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13534-:d:947541
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13534/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/20/13534/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jennifer H. Gao, 2021. "A Comparison of Your Better Life Index and Its Antecedents Across Two Chinese Cultures," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(3), pages 275-288, July.
    2. Nitzan Peri-Rotem, 2016. "Religion and Fertility in Western Europe: Trends Across Cohorts in Britain, France and the Netherlands," European Journal of Population, Springer;European Association for Population Studies, vol. 32(2), pages 231-265, May.
    3. Davis, Matthew A. & Anthony, Denise L. & Pauls, Scott D., 2015. "Seeking and receiving social support on Facebook for surgery," Social Science & Medicine, Elsevier, vol. 131(C), pages 40-47.
    4. Marikyan, Davit & Papagiannidis, Savvas & Alamanos, Eleftherios, 2019. "A systematic review of the smart home literature: A user perspective," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 139-154.
    5. Ana Alacovska & Joëlle Bissonnette, 2021. "Care-ful Work: An Ethics of Care Approach to Contingent Labour in the Creative Industries," Journal of Business Ethics, Springer, vol. 169(1), pages 135-151, February.
    6. Robert Jeyakumar Nathan & Vijay Victor & Melanie Tan & Maria Fekete-Farkas, 2020. "Tourists’ use of Airbnb app for visiting a historical city," Information Technology & Tourism, Springer, vol. 22(2), pages 217-242, June.
    7. Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    8. Tan Yigitcanlar & Massimo Regona & Nayomi Kankanamge & Rashid Mehmood & Justin D’Costa & Samuel Lindsay & Scott Nelson & Adiam Brhane, 2022. "Detecting Natural Hazard-Related Disaster Impacts with Social Media Analytics: The Case of Australian States and Territories," Sustainability, MDPI, vol. 14(2), pages 1-23, January.
    9. Berry, Brandon & Apesoa-Varano, Ester Carolina & Gomez, Yarin, 2015. "How family members manage risk around functional decline: The autonomy management process in households facing dementia," Social Science & Medicine, Elsevier, vol. 130(C), pages 107-114.
    10. Lixin Ou & Jack Chen & Ken Hillman, 2017. "Socio-demographic disparities in the utilisation of general practice services for Australian children - Results from a nationally representative longitudinal study," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-15, April.
    11. Li, Wenda & Yigitcanlar, Tan & Liu, Aaron & Erol, Isil, 2022. "Mapping two decades of smart home research: A systematic scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    12. Ebtesam Alomari & Iyad Katib & Aiiad Albeshri & Rashid Mehmood, 2021. "COVID-19: Detecting Government Pandemic Measures and Public Concerns from Twitter Arabic Data Using Distributed Machine Learning," IJERPH, MDPI, vol. 18(1), pages 1-34, January.
    13. Karl Gauffin & Anders Hjern & Bo Vinnerljung & Emma Björkenstam, 2016. "Childhood Household Dysfunction, Social Inequality and Alcohol Related Illness in Young Adulthood. A Swedish National Cohort Study," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-12, March.
    14. Valentina S. Consiglio & Denisa M. Sologon, 2022. "The Myth of Equal Opportunity in Germany? Wage Inequality and the Role of (Non-)academic Family Background for Differences in Capital Endowments and Returns on the Labour Market," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(2), pages 455-493, January.
    15. Avigyan Chatterjee & Arushi Saxena & Khurram Aslam & Aaron Van Alstine & Mohammad Shahid Zeb, 2022. "The Variation of b-Value of Earthquakes During COVID-19 Lockdowns: Case Studies from the Cascadia Subduction Zone and New Zealand," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 21(Supp01), pages 1-13, May.
    16. Sweeney, Majella & Docherty-Hughes, John & Lynch, Paul, 2018. "Lifestyling entrepreneurs’ sociological expressionism," Annals of Tourism Research, Elsevier, vol. 69(C), pages 90-100.
    17. Miyoung Roh & Soyoon Weon, 2022. "Living Arrangement and Life Satisfaction of the Elderly in South Korea," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 717-734, April.
    18. Florencia Barreto-Zarza & Enrique B. Arranz-Freijo, 2022. "Family Context, Parenting and Child Development: An Epigenetic Approach," Social Sciences, MDPI, vol. 11(3), pages 1-13, March.
    19. Nala Alahmari & Sarah Alswedani & Ahmed Alzahrani & Iyad Katib & Aiiad Albeshri & Rashid Mehmood, 2022. "Musawah: A Data-Driven AI Approach and Tool to Co-Create Healthcare Services with a Case Study on Cancer Disease in Saudi Arabia," Sustainability, MDPI, vol. 14(6), pages 1-41, March.
    20. Parman, John, 2015. "Childhood health and sibling outcomes: Nurture Reinforcing nature during the 1918 influenza pandemic," Explorations in Economic History, Elsevier, vol. 58(C), pages 22-43.
    21. Chris Hudson & John Hudson & Bruce Morley, 2018. "Differing house price linkages across UK regions: A multi-dimensional recursive ripple model," Urban Studies, Urban Studies Journal Limited, vol. 55(8), pages 1636-1654, June.
    22. Gage-Bouchard, Elizabeth A. & LaValley, Susan & Panagakis, Christina & Shelton, Rachel C., 2015. "The architecture of support: The activation of preexisting ties and formation of new ties for tailored support," Social Science & Medicine, Elsevier, vol. 134(C), pages 59-65.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Raniah Alsahafi & Ahmed Alzahrani & Rashid Mehmood, 2023. "Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations," Sustainability, MDPI, vol. 15(5), pages 1-64, February.
    2. Nala Alahmari & Sarah Alswedani & Ahmed Alzahrani & Iyad Katib & Aiiad Albeshri & Rashid Mehmood, 2022. "Musawah: A Data-Driven AI Approach and Tool to Co-Create Healthcare Services with a Case Study on Cancer Disease in Saudi Arabia," Sustainability, MDPI, vol. 14(6), pages 1-41, March.
    3. Yi-Kyung Hong & Ze-Yu Wang & Ji Young Cho, 2022. "Global Research Trends on Smart Homes for Older Adults: Bibliometric and Scientometric Analyses," IJERPH, MDPI, vol. 19(22), pages 1-24, November.
    4. Istiak Ahmad & Fahad Alqurashi & Ehab Abozinadah & Rashid Mehmood, 2022. "Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation," Sustainability, MDPI, vol. 14(9), pages 1-72, May.
    5. Flavio Martins & Maria Fatima Almeida & Rodrigo Calili & Agatha Oliveira, 2020. "Design Thinking Applied to Smart Home Projects: A User-Centric and Sustainable Perspective," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    6. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," IZA Discussion Papers 14020, Institute of Labor Economics (IZA).
    7. Ran Abramitzky & Roy Mill & Santiago Pérez, 2020. "Linking individuals across historical sources: A fully automated approach," Historical Methods: A Journal of Quantitative and Interdisciplinary History, Taylor & Francis Journals, vol. 53(2), pages 94-111, April.
    8. Morgane Innocent & Agnès François-Lecompte & Nolwenn Roudaut, 2020. "Comparison of human versus technological support to reduce domestic electricity consumption in France," Post-Print hal-02450849, HAL.
    9. Juana Isabel Méndez & Adán Medina & Pedro Ponce & Therese Peffer & Alan Meier & Arturo Molina, 2022. "Evolving Gamified Smart Communities in Mexico to Save Energy in Communities through Intelligent Interfaces," Energies, MDPI, vol. 15(15), pages 1-29, July.
    10. Arthi, Vellore & Parman, John, 2021. "Disease, downturns, and wellbeing: Economic history and the long-run impacts of COVID-19," Explorations in Economic History, Elsevier, vol. 79(C).
    11. Krzysztof Karbownik & Anthony Wray, 2019. "Long-Run Consequences of Exposure to Natural Disasters," Journal of Labor Economics, University of Chicago Press, vol. 37(3), pages 949-1007.
    12. Ana Salomé García-Muñiz & María Rosalía Vicente, 2021. "The Effects of Informational Feedback on the Energy Consumption of Online Services: Some Evidence for the European Union," Energies, MDPI, vol. 14(10), pages 1-14, May.
    13. Keith Meyers & Melissa A. Thomasson, 2021. "Can pandemics affect educational attainment? Evidence from the polio epidemic of 1916," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 15(2), pages 231-265, May.
    14. Zaremba, Adam & Bianchi, Robert J. & Mikutowski, Mateusz, 2021. "Long-run reversal in commodity returns: Insights from seven centuries of evidence," Journal of Banking & Finance, Elsevier, vol. 133(C).
    15. Amanda Guimbeau & Nidhiya Menon & Aldo Musacchio, 2022. "Short‐ and medium‐run health and literacy impacts of the 1918 Spanish Flu pandemic in Brazil," Economic History Review, Economic History Society, vol. 75(4), pages 997-1025, November.
    16. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R., 2022. "Adoption of partially automated vehicle technology features and impacts on vehicle miles of travel (VMT)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 156-179.
    17. Younjoo Cho & Anseop Choi, 2020. "Application of Affordance Factors for User-Centered Smart Homes: A Case Study Approach," Sustainability, MDPI, vol. 12(7), pages 1-23, April.
    18. Layla Branicki & Senia Kalfa & Alison Pullen & Stephen Brammer, 2023. "Corporate Responses to Intimate Partner Violence," Journal of Business Ethics, Springer, vol. 187(4), pages 657-677, November.
    19. Kumo, Kazuhiro & Perugini, Cristiano, 2023. "Religion, Ideology and Fertility," IZA Discussion Papers 16159, Institute of Labor Economics (IZA).
    20. Tu, Gengyang & Faure, Corinne & Schleich, Joachim & Guetlein, Marie-Charlotte, 2021. "The heat is off! The role of technology attributes and individual attitudes in the diffusion of Smart thermostats – findings from a multi-country survey," Technological Forecasting and Social Change, Elsevier, vol. 163(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13534-:d:947541. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.