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Ageing and Keeping Pace with Technology: A Grounded Theory Study on Blind Adults’ Experiences of Adapting to New Technologies

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  • Alina Betlej

    (Centre of Sociological Research on the Economy and the Internet, The Department of Economic and Digital Sociology, The John Paul II Catholic University of Lublin, Al. Racławickie 14, 20-950 Lublin, Poland)

  • Jan Gondek

    (The Department of Economic and Digital Sociology, The John Paul II Catholic University of Lublin, Al. Racławickie 14, 20-950 Lublin, Poland)

  • Natalia Gondek

    (The Institute of Philosophy, The John Paul II Catholic University of Lublin, Al. Racławickie 14, 20-950 Lublin, Poland)

Abstract

This study investigated blind adults’ experiences of adapting to digital technologies. The authors’ focus was on how they have been experiencing changes implied by digital transformation, which provided the starting point for assessing their prospects and/or limitations for self-development through new technologies in the future. The second point concerned designing technologies for blind adults by adding questions about their specific needs and expectations for digital device designers. To develop these main issues, we planned a qualitative grounded theory study in which 16 blind adults were individually interviewed. It aimed to provide rich descriptions of a selected phenomenon. The research analysis was conducted by using the sociological and philosophical methods, which provided insights into the social assessment of digital development for ageing by blind adults. The data analysis revealed five distinct categories that captured these experiences and expectations: (1) wishing to learn—“Digital technology gives me privacy and independence”; (2) having to learn—“If you do not have new digital devices or do not know how to use them, you end up on the margins of society”; (3) being socially excluded—“Designers of new technologies do not think about blind adults”; (4) fearing to stop understanding—“Technological development is too rapid, it is difficult to be on time while ageing”; and (5) waiting for the changes—“I hope my situation will change in the future”. Together, these five categories form the basis of the core category “Ageing and keeping pace with technology”, which encapsulates the initial adaptation experiences of the interviewees to the technological development. The findings indicate that the blind adults experienced digital devices as tools for improving their well-being, but they also saw them as posing the threat of being socially excluded because of new technology designs and accessibility barriers.

Suggested Citation

  • Alina Betlej & Jan Gondek & Natalia Gondek, 2023. "Ageing and Keeping Pace with Technology: A Grounded Theory Study on Blind Adults’ Experiences of Adapting to New Technologies," IJERPH, MDPI, vol. 20(3), pages 1-19, January.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:1876-:d:1041366
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    References listed on IDEAS

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    1. Jumi Hwang & Kyung Hee Kim & Jong Gyu Hwang & Sungchan Jun & Jiwon Yu & Chulung Lee, 2020. "Technological Opportunity Analysis: Assistive Technology for Blind and Visually Impaired People," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    2. Park, Inchae & Yoon, Byungun, 2018. "Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network," Journal of Informetrics, Elsevier, vol. 12(4), pages 1199-1222.
    3. Katarzyna Kujawa & Alina Żurek & Agata Gorączko & Roman Olejniczak & Grzegorz Zurek, 2022. "Monitoring Eye Movements Depending on the Type of Visual Stimulus in Patients with Impaired Consciousness Due to Brain Damage," IJERPH, MDPI, vol. 19(10), pages 1-11, May.
    4. Magdalena Agnieszka Wrzesińska & Klaudia Tabała & Patryk Stecz, 2021. "Gaming Behaviors among Polish Students with Visual Impairment," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
    5. Shareef, Mahmud Akhter & Kumar, Vinod & Dwivedi, Yogesh K. & Kumar, Uma & Akram, Muhammad Shakaib & Raman, Ramakrishnan, 2021. "A new health care system enabled by machine intelligence: Elderly people's trust or losing self control," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    6. Woochun Jun, 2021. "A Study on Cause Analysis of Digital Divide among Older People in Korea," IJERPH, MDPI, vol. 18(16), pages 1-13, August.
    7. Alina Betlej, 2022. "Designing Robots for Elderly from the Perspective of Potential End-Users: A Sociological Approach," IJERPH, MDPI, vol. 19(6), pages 1-17, March.
    8. Grzegorz Kinelski & Jakub Stęchły & Piotr Bartkowiak, 2022. "Various Facets of Sustainable Smart City Management: Selected Examples from Polish Metropolitan Areas," Energies, MDPI, vol. 15(9), pages 1-23, April.
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