IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i22p8492-d445950.html
   My bibliography  Save this article

Older Adult Segmentation According to Residentially-Based Lifestyles and Analysis of Their Needs for Smart Home Functions

Author

Listed:
  • Jiyeon Yu

    (Madrid HCI Lab, Research Group on Human-Computer Interaction and Advanced Interactive Systems, Universidad Politécnica de Madrid (UPM), Boadilla del Monte, 28660 Madrid, Spain)

  • Angelica de Antonio

    (Madrid HCI Lab, Research Group on Human-Computer Interaction and Advanced Interactive Systems, Universidad Politécnica de Madrid (UPM), Boadilla del Monte, 28660 Madrid, Spain)

  • Elena Villalba-Mora

    (Centre for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Pozuelo de Alarcón, 28223 Madrid, Spain
    Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 28029 Madrid, Spain)

Abstract

Globally, the percentage of older people in the general population is growing. Smart homes have the potential to help older adults to live independently and healthy, improving their quality of life, and relieving the pressure on the healthcare and social care systems. For that, we need to understand how older adults live and their needs. Thus, this study aims to analyze the residentially-based lifestyles (RBL) of older adults and segment them to compare and analyze the real needs of smart home functions for each group. To identify a person’s RBL, a questionnaire was designed to include questions about activities at home, social events, quality of life, etc. This study surveyed 271 older Koreans. As a result of the survey on RBL, five groups with different characteristics were clustered. Finally, each groups’ features and the differences in their needs for smart home functions were compared and analyzed. The priority of needed functions for each group was found to be significantly different. In a total of 26 smart home functions, there were meaningful differences in the needs for 16 functions among the groups. This study presents the results in South Korea, according to older adults’ RBL and their smart home needs.

Suggested Citation

  • Jiyeon Yu & Angelica de Antonio & Elena Villalba-Mora, 2020. "Older Adult Segmentation According to Residentially-Based Lifestyles and Analysis of Their Needs for Smart Home Functions," IJERPH, MDPI, vol. 17(22), pages 1-21, November.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:22:p:8492-:d:445950
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/22/8492/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/22/8492/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Changliang Du, 2019. "Study on Lifestyle Evaluation Systems for the Health of Chinese Elderly," IJERPH, MDPI, vol. 16(2), pages 1-9, January.
    2. 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.
    3. Eissens van der Laan, M.R. & van Offenbeek, M.A.G. & Broekhuis, H. & Slaets, J.P.J., 2014. "A person-centred segmentation study in elderly care: Towards efficient demand-driven care," Social Science & Medicine, Elsevier, vol. 113(C), pages 68-76.
    4. Xiaona Zhang & Ruyi Xia & Shu Wang & Wei Xue & Jian Yang & Shuliu Sun & Guihua Zhuang, 2018. "Relative Contributions of Different Lifestyle Factors to Health-Related Quality of Life in the Elderly," IJERPH, MDPI, vol. 15(2), pages 1-13, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    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. 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.
    2. 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.
    3. 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.
    4. Winter, Vera & Thomsen, Mette Kjærgaard & Schreyögg, Jonas & Blankart, Katharina & Duminy, Lize & Schoenenberger, Lukas & Ansah, John P. & Matchar, David & Blankart, Carl Rudolf & Oppel, Eva & Jensen,, 2019. "Improving Service Provision - The Health Care Services' Perspective," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 3(4), pages 163-183.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. Chen, Chien-fei & Nelson, Hannah & Xu, Xiaojing & Bonilla, Gregory & Jones, Nicholas, 2021. "Beyond technology adoption: Examining home energy management systems, energy burdens and climate change perceptions during COVID-19 pandemic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    10. Attour, Amel & Baudino, Marco & Krafft, Jackie & Lazaric, Nathalie, 2020. "Determinants of energy tracking application use at the city level: Evidence from France," Energy Policy, Elsevier, vol. 147(C).
    11. Su-Yen Chen & Chiachun Lee, 2019. "Perceptions of the Impact of High-Level-Machine-Intelligence from University Students in Taiwan: The Case for Human Professions, Autonomous Vehicles, and Smart Homes," Sustainability, MDPI, vol. 11(21), pages 1-14, November.
    12. Birgul Basarir-Ozel & Hande Bahar Turker & Vesile Aslihan Nasir, 2022. "Identifying the Key Drivers and Barriers of Smart Home Adoption: A Thematic Analysis from the Business Perspective," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    13. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    14. Lisardo Prieto González & Anna Fensel & Juan Miguel Gómez Berbís & Angela Popa & Antonio de Amescua Seco, 2021. "A Survey on Energy Efficiency in Smart Homes and Smart Grids," Energies, MDPI, vol. 14(21), pages 1-16, November.
    15. Charalampos Rafail Lazaridis & Iakovos Michailidis & Georgios Karatzinis & Panagiotis Michailidis & Elias Kosmatopoulos, 2024. "Evaluating Reinforcement Learning Algorithms in Residential Energy Saving and Comfort Management," Energies, MDPI, vol. 17(3), pages 1-33, January.
    16. Serap Turkyilmaz & Erkut Altindað, 2022. "Analysis of Smart Home Systems in the Context of the Internet of Things in Terms of Consumer Experience," International Review of Management and Marketing, Econjournals, vol. 12(1), pages 19-31.
    17. Ibrahim Mutambik, 2024. "Culturally Informed Technology: Assessing Its Importance in the Transition to Smart Sustainable Cities," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
    18. Sovacool, Benjamin K. & Martiskainen, Mari & Furszyfer Del Rio, Dylan D., 2021. "Knowledge, energy sustainability, and vulnerability in the demographics of smart home technology diffusion," Energy Policy, Elsevier, vol. 153(C).
    19. Borner, Kathrin & Berends, Hans & Deken, Fleur & Feldberg, Frans, 2023. "Another pathway to complementarity: How users and intermediaries identify and create new combinations in innovation ecosystems," Research Policy, Elsevier, vol. 52(7).
    20. Große-Kreul, Felix, 2022. "What will drive household adoption of smart energy? Insights from a consumer acceptance study in Germany," Utilities Policy, Elsevier, vol. 75(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:jijerp:v:17:y:2020:i:22:p:8492-:d:445950. 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.