Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
권호 표지
DOI QR코드

DOI QR Code

Effects on lifestyle and life satisfaction of active Senior's mobile app usage level

액티브 시니어의 모바일 앱 사용 수준이 라이프스타일과 삶의 만족도에 미치는 영향

  • 허원희 (성결대학교 미디어소프트웨어학과) ;
  • 최정일 (성결대학교 경영학부)
  • Received : 2022.03.22
  • Accepted : 2022.05.20
  • Published : 2022.05.28
Download PDF
⟨ Previous Next ⟩

Abstract

The goal of this research is to understand the extent to which active seniors' mobile app usage level affects their lifestyle and life satisfaction. For this, we surveyed for 15 days in early December 2021 targeting about 150 users nationwide. As the questionnaire content, the independent variable was "mobile app usage level", the parameter was "lifestyle", and the dependent variable was "life satisfaction". As a result of empirical analysis, reliability and exploratory factors between each variable were verified, and it was confirmed that internal consistency was secured. It was investigated that the concentration validity of each item was generally well confirmed. As a result of hypothesis testing by the structural equation, 'App usage level ⇨ Lifestyle' was 0.244, 'Lifestyle ⇨ Life satisfaction' 0.707, and 'App usage level ⇨ Life satisfaction 0.141' was adopted. This study shows that the higher the level of mobile app usage of active seniors, the higher the lifestyle. Also, the better the lifestyle, the better the quality of life. It is analyzed that life satisfaction will improve as the level of mobile app use increases. Therefore, in order to improve life satisfaction, it seems necessary to increase the level of app use and lifestyle.

본 연구의 목적은 액티브 시니어의 모바일 앱 사용 수준이 라이프스타일과 삶의 만족도에 미치는 영향을 미치는 정도를 파악하는 데 있다. 이를 위해 전국적으로 이용자 150여명을 대상으로 2021년 12월 초에 15일 동안 설문조사를 수행하였다. 설문내용으로 독립변수는 "모바일 앱 사용 수준", 매개변수는 "라이프스타일", 종속변수는 "삶의 만족도"로 구성하였다. 실증분석 결과, 각 변수 간 신뢰도 및 탐색적 요인이 검증되었고 내적 일관성도 확보된 것으로 확인하였다. 각 항목들의 집중타당성이 일반적으로 잘 확인된 것으로 조사되었다. 구조방정식에 의한 가설검증결과, ''앱 사용 수준 ⇨ 라이프스타일' 0.244로, '라이프스타일 ⇨ 삶의 만족도' 0.707, '앱 사용 수준 ⇨ 삶의 만족도 0.141'로 채택되었다. 액티브 시니어의 모바일 앱 사용 수준이 높을수록 라이프스타일이 높아질 것이고, 라이프스타일이 향상될수록 삶의 질이 향상될 것이며, 모바일 앱 사용 수준이 높아질수록 삶의 만족도가 향상될 것으로 분석되었다. 따라서 삶의 만족도를 향상시키기 위해서는 앱 사용 수준과 라이프스타일을 높이기 위한 노력이 필요해 보인다.

Keywords

References

  1. Independent Housewives, Characteristics and Consumption Styles of Active Seniors, Senior Notes of Independent Housewives, 2021.2.3. 23:10. https://blog.naver.com/aromika83/222230881188)=
  2. Daum Encyclopedia : https://dic.daum.net https://dic.daum.net/word/view.do?wordid=kkw000520924&supid=kku010325882)
  3. IT El Dorado, Types and Concepts of Mobile Apps, Web & Application, 2021. 2. 21. https://it-eldorado.tistory.com/132
  4. H. S. Kim. (2012). A Research on Emotional Design for Mobile Phone in Next Generation -Focused on Smart Phones for Active Senior-. The Journal of Korean Design and Culture, 12(3), 103-116.
  5. J. E. Shin & J. H. Eune. (2020). A Study on Emoticon Design for Active Seniors -focused on KakaoTalk Emoticons-. Korean Society Of Basic Design & Art, 20(2), 209-220. DOI : 10.47294/KSBDA.20.2.16
  6. J. H. Rho & Y. D. Chun. (2019). A Study on App GUI Design for Active Senior in Information Visualization Perspective -Focused on three major social commerce in Korea-. The Treatise on The Plastic Media, 22(1), 142-150. DOI : 10.35280/KOTPM.2019.22.1.16
  7. S. Y. Park, H. Y. Kang & Y. A. Kang. (2019). A Study on Active Smart Seniors Experience in Mobile Shopping : Focused on Visual Experience. The conference of the HCI Society of Korea, 400-404.
  8. H. Y. Lee & J. Y. Yoon. (2020). A Study on the Senior User Experience of Mobile Railway Reservation System. Journal of Communication Design, 73, 355-368. DOI : 10.25111/jcd.2020.73.26
  9. Y. D. Yoon, Y. Y. Yang, H. S. Ji & H. S. Lim. (2017). Development of Smart Senior Classification Model based on Activity Profile Using Machine Learning Method. Journal of the Korea Convergence Society, 8(1), 25-34. DOI : 10.15207/JKCS.2017.8.1.025
  10. T. H. Park. (2011.4.10). The change and preparation of the silver market led by Active Senior KT Management Economy Research Institute. https://m.blog.naver.com/PostView.naver?isHttpsRedirect=true&blogId=cabingirl&logNo=120127644138
  11. S. J. Won & J. H. Sung. (2008). Research for Propensity of a Senior Group through Analysis about Mobile Usage Status. Journal Of The Korea Contents Association, 8(11), 65-73. https://doi.org/10.5392/JKCA.2008.8.11.065
  12. N. Y. Song & K. S. Nam. (2011). A Study on the Smart Design in Public Space of Urban type Silver Town - Focusing on the lifestyle of active seniors. Journal of Digital Design, 11(3), 163-172. https://doi.org/10.17280/jdd.2011.11.3.016
  13. D. M Lee & J. Y. Lee. (2014). A study on a service design for expanding opportunities to involve in the society as an active senior. Journal of Korea Design Knowledge, 31, 185-193. https://doi.org/10.17246/jkdk.2014..31.018
  14. E. Y. Jung, E. H. Seo & E. Y. Kim. (2019). Convergence Factors Influencing on Quality of Life in Baby Boomer Generation Woman. Journal of the Korea Convergence Society, 10(3), 335-345. DOI : 10.15207/JKCS.2019.10.3.335
  15. H. S. Jung. (2010). The ripple effect and countermeasures of retirement of baby boomers, Seoul : Samsung Economic Research Institute Publishing.
  16. J. G. Lim & J. G. Lee. (2011). The relationship among leisure recognition, leisure competence, and leisure continuation of leisure sports participants of the aged. Korean Journal of Sports Science 20(6), 239-249.
  17. S. B. Kim & S. H. Seol. (2019). The Structural Relationship among Leisure Function, Exercise Commitment and Family Life Satisfaction for Active Seniors. Korean Journal of Sports Science 28(3), 111-123. https://doi.org/10.35159/kjss.2019.06.28.3.111
  18. J. Y. Lee & M. S. Lee. (2020). The Relationship between Self-efficacy, Life Satisfaction and Successful Aging of Active Seniors. Journal of Korean Leisure Science, 11(1), 1-10. DOI : 10.37408/kjls.2020.11.1.1
  19. J. S. Chae. (2019). Smartphone Usage Patterns among Older Adults in South Korea. A Korean Social Welfare Survey, 62, 57-80. DOI : 10.17997/SWRY.62.1.3
  20. K. H. Park, K. A. Won & J. H. Park. (2020). Analysis the of User's Needs for Developing a Mobile Health Based Lifestyle Care Application for Health Promotion among the Elderly, Therapeutic Science for Rehabilitation, 9(3), 23-34. https://doi.org/10.22683/TSNR.2020.9.3.023
  21. K. J. Kim & D. C. An. (2014). Lifestyle Segmentation of Smartphone Users and Its Impact on the Usage of Newspaper Applications and Attitude Toward Advertising. Journal of Korea Design Forum, 42, 55-66. DOI : 10.21326/ksdt.2014..42.005
  22. S. H. Nam & M. H. Kim. (2014). The Influences of a Leisure Lifestyle, Retirement Preparation, and Leisure Activities with a Spouse on the Life Satisfaction of Baby Boomers. Korean Aging Studies. Korean Aging Studies, 34(1), 183-203.
  23. J. H. Lee & G. S. Cho. (2017). The Effects of ego resilience and self-esteem on life satisfaction of senior golf participants. Journal of the Korea Convergence Society, 8(10), 407-416. DOI : 10.15207/JKCS.2017.8.10.407
  24. K. H. Park. (2012). Consumption Values and Life Satisfaction by Types of Well-being Lifestyles. Journal of Living Science Research 38, 69-80.
  25. M. K. Lee, J. W. Kim & H. Choi. (2008). An Exploratory Study on Contribution to Quality of Life on Mobile Internet Users According to Users' Lifestyle. Research on Information and Communication Policy, 15(1), 29-64.
  26. H. J. Lee & M. K. Park. (2020). Older Adults' Digital Divide and Life Satisfaction : Comparing Mobile and PC-based Digital Divide. Korean Administrative Research, 29(2), 209-241.
  27. S. R. Um. H. R. Shin & Y. S. Kim. (2020). A Path Analysis of Attitudes, Information Capabilities, Information Activities, Performance of Digital Devices, and Life Satisfaction: Focusing on the Mediating Effect of Information Capabilities. The Journal of Information and Chemistry in Korea, 23(2), 31-54.
  28. S. K. Kim, G. R. Shin & Y. S. Kim. (2020). The Effect of Mobile Device Capability of Middle and Older Aged Adults on Life Satisfaction. Digital convergence research, 18(3), 23-34.
  29. C. Y. Jung & I. G. Choi. (2001). "Statistical Analysis using SPSS WIN", Trade Management Company, 2001.
  30. J. C. Nunnally. (1978). Psychometric Theory, McGraw-Hill, New York.