$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

중년층의 건강관심도와 건강정보추구도가 인터넷 건강정보 검색행동에 미치는 영향
Health Consciousness and Health Information Orientation on Health Information Searching Behaviors of Middle-Aged Adults 원문보기

정보관리학회지 = Journal of the Korean society for information management, v.38 no.3, 2021년, pp.73 - 99  

이화영 (한국전자통신연구원 지식정보서비스실) ,  오상희 (충남대학교 문헌정보학과)

초록
AI-Helper 아이콘AI-Helper

본 연구의 목적은 인터넷 건강정보검색에서 4-50대 중년층의 건강정보 이용경험을 분석하고 건강관심도와 건강정보추구도가 정보향기를 감지하는 데 어떠한 영향을 미치는지 파악하는 것이다. 이를 위해 정보채집이론을 바탕으로 설문조사, 실험관찰, 면담조사를 진행하여 이용자의 건강정보 이용경험과 정보검색행동을 분석하였다. 연구결과, 이용자가 오프라인을 통한 정보획득에 익숙할수록 인터넷 건강정보 검색주기가 길었으며 가장 많이 검색하는 정보는 질병진단 및 관리를 위한 건강지식으로 나타났다. 중년층의 건강관심도와 건강정보추구도는 건강정보검색에서 정보향기를 감지하는데 영향을 미치고 있음을 확인하였고 건강관심도나 건강정보추구도가 높은 참가자는 텍스트 유형의 비영리, 공공기관의 정보원과 텍스트와 맥락이 맞는 다양한 이미지를 중요한 정보단서로 판단하였다. 또한, 건강관심도나 건강정보추구도에 상관없이 정보게시날짜는 중요 정보단서인 것으로 파악되었다. 본 연구결과는 건강정보 활용교육을 시행하는 도서관이나 평생교육원에서 단순한 지식전달보다 이용자의 건강관심도와 건강정보추구도를 증대시킬 수 있는 프로그램을 구성하는데 기여할 수 있다. 또한 포털사이트나 건강관련 기관 웹사이트 담당자들은 중년층 이용자들의 건강관심도와 건강정보추구도에 따라 건강정보에 쉽게 접근할 수 있는 전략을 구축하는데 기초자료로 활용될 수 있다.

Abstract AI-Helper 아이콘AI-Helper

The purpose of this study is to analyze the health information use experience of middle-aged people in their 40s and 50s and to observe and analyze their health information search behaviors according to health consciousness and health information orientation. This study uses Information Foraging The...

주제어

표/그림 (14)

참고문헌 (44)

  1. Ahn, Sun-tae, Gang, Han-na, & Jung, Sun-dul (2019). An exploratory study on barriers and promotion to older adults' online use for health information search and health management. Journal of Korea Gerontological Society, 39(1), 109-125. http://doi.org/10.31888/JKGS.2019.39.1.109 

  2. Byun, Jae-yeon (2018). A study on the effects of search language on web searching behavior: focused on the differences of web searching pattern. Journal of the Korean Library and Information Science, 52(3), 289-334. http://doi.org/10.4275/KSLIS.2018.52.3.289 

  3. Cho, Kyung-ja, Song, Seung-jin, & Han, Kwang-hee (2002). The effects of types of presentation and cognitive load on multimedia learning. Korean Journal of Cognitive Science, 13(3), 47-60. 

  4. Joe, Kyung-won, Kam, Sin, & Chae, Young-mun (2007). Analysis of internet usage patterns of health consumers for internet health information assessment criteria. Korean Journal of Health Education and Promotion, 24(2), 15-28. 

  5. Jung, Young-ju & Park, Jin-hee (2016). The effects of the stroke on the health knowledge, optimistic bias and health-promoting lifestyle in middle-aged adults. Journal of Korea Academia-Industrial cooperation Society, 19(9), 141-155. http://doi.org/10.5762/KAIS.2016.17.9.141 

  6. Kang, Soo-jin, Lee, Tae-wha, Kim, Gwang-suk, & Lee, Ju-hee (2012). The levels of health literacy and related factors among middle-aged adults in seoul. Korean Journal of Health Education and Promotion, 29(3), 75-89. 

  7. Kim, Hoo-jung & Park, Hyeon-ae (2004). Selection criteria and utilization of health information on the internet by consumers. Healthcare Informatics Research, 10(1), 55-68. 

  8. Kye, Su-yeon & Park, Kee-ho (2018). Factors affecting online health information seeking by channels. Korean Journal of Health Education and Promotion, 35(2), 1-11. http://doi.org/10.14367/kjhep.2018.35.2.1 

  9. Lee, Min-ji & An, Soon-tae (2016). Intention to Use SNS Public Health Information among the Middle Aged Application of the Technology Acceptance Model. Advertising Research. http://doi.org/10.16914/ar.2016.108.87 

  10. Liu, Jie (2010). Middle-aged's Internet Health Information usage research. The Graduate school of Chung-Ang University. Dept. of Mass Communication. 

  11. Nam, Jae-woo (2013). A study on the effect of presentation modes of health information on recognition and satisfaction. Journal of the Korean BIBLIA Society for library and Information Science Volume 24, Issue4, 217-238, 30 Dec 2013. http://doi.org/10.14699/kbiblia.2013.24.4.217 

  12. Oh, Young-sam & Cho, Young-eun (2019). Exploring the limitations in the use of online health information and future direction: focused on analysis of expert knowledge in the frame of ignorance. Health and Social Welfare Review, 39(2), 358-393. http://doi.org/10.15709/hswr.2019.39.2.358 

  13. Park, Dong-jin, Kwon, Myung-soon, & Choi, Joung-hwa (2013). The influence of health information orientation, attitude of internet health information, and e-health literacy on personal health behaviors. Journal of Public Relations, 17(3), 379-413. http://doi.org/10.15814/jpr.2013.17.3.379 

  14. Park, Su-jin (2011). A Study of Online Health Information Seeking Behavior and Health Promoting Behavior in the Middle-aged. Dissertation. The Graduate school of Gyeong sang National University, Dept. of Nursing Graduate School. 

  15. Song, Tae-min, Lee, Youn-hee, Lee, Ki-ho, Bark, Dae-sun, Jin, Dal-lae, Park, Hyun-ae, & Ahn, Ji-young (2011). 2011 Development and Operation of Gateway System for Internet Health Information. Seoul, Korea Institute for Health and Social Affairs. 

  16. Yu, Gi-woong, Jeong, Jong-won, Kim, Young-seok, & Kim, Han-byul (2018). Understanding Qualitative Research Methods (2nd Edition). Seoul: Park Young Story. 

  17. Blackmon, M. H. (2012). Information scent determines attention allocation and link selection among multiple information patches on a webpage. Behaviour& Information Technology, 31(1), 3-15. http://doi.org/10.1080/0144929X.2011.599041 

  18. Card, S. K., Pirolli, P., Wege, M. V., Morrison, J. B., Reeder, R. W., Schraedley, P. K., & Boshart, J. (2001). Information scent as a driver of web behavior graphs, Results of a protocol analysis method for web usability. Proceedings of the Conference on Human Factors in Computing Systems, 3(1), 498-505. http://doi.org/10.1145/365024.365331 

  19. Chi, E. H., Pirolli, P., Chen, K., & Pitkow, J. (2001). Using information scent to model user information needs and actions and the web. Proceedings of the Conference on Human Factors in Computing Systems, 75-86. http://doi.org/10.1145/365024.365325. 

  20. Dutta-Bergman, M. J. (2004a). Health attitudes, health cognitions, and health behaviors among Internet health information seekers, Population-based survey. Journal of Medical Internet Research, 6(2), e15. 

  21. Dutta-Bergman, M. J. (2004b). Primary sources of health information, Comparisons in the domain of health attitudes, health cognitions, and health behaviors. Health Communication, 16(3), 273-288. https://doi.org/10.1207/S15327027HC1603_1 

  22. Edwards, A. & Kelly, D. (2016). How does interest in a work task impact search behavior and engagement?. CHIIR '16: Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval, 249-252. https://doi.org/10.1145/2854946.2855000. 

  23. Hassan, A., Shi X., Craswell, N., & Ramsey, B. (2013). Beyond clicks, query reformulation as a predictor of search satisfaction. CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management, 2019-2028. http://doi.org/10.1145/2505515.2505682 

  24. Jayanti, R. K. & Burns, A. C. (1998). The antecedents of preventive health care behavior, An empirical study. Journal of the Academy of Marketing Science, 26(1), 6-15. https://doi.org/10.1177/0092070398261002 

  25. Kelly, D., Arguello, J., Edwards, A., & Wu, W. (2015). Development and evaluation of search tasks for IIR experiments using a cognitive complexity framework. Proceedings of the 2015 ACM SIGIR International Conference on the Theory of Information Retrieval, 101-110. http://doi.org/10.1145/2808194.2809465 

  26. Lawrance, J., Bellamy, R., & Burnett, M. (2007) Scents in programs: does information foraging theory apply to program maintenance?, IEEE Symposium on Visual Languages and Human-Centric Computing, 15-22, doi: 10.1109/VLHCC.2007.25. 

  27. Lee, H. & Pang, N. (2017). Information scent-credibility and gaze interactions, an eye-tracking analysis in information behaviour. Information Research, 22(1), 1-32. 

  28. Loumakis, F., Stumpf, S., & Grayson, D. (2011). This image smells good, effects of image information scent in search engine results pages. Proceedings of the 20th ACM International Conference on Information and Knowledge Management, 475-483. http://doi.org/10.1145/2063576.2063649 

  29. O'Brien, H. L. & Lebow, M. (2013). Mixed methods approach to measuring user experience in online news interactions. Journal of the American Society for Information Science and Technology, 64(8), 1543-1556. http://doi.org/10.1002/asi.22871 

  30. Pirolli, P. & Card, S. K. (1999). Information foraging. Psychological Review, 106(4), 643-675. 

  31. Puspitasari, I. (2017). The impacts of consumer's health topic familiarity in seeking health information online. 2017 IEEE 15th International Conference, 104-109. http://doi.org/10.1037/0033-295X.106.4.643 

  32. Storino, A., Angeles, M. C., & Watkins, A. A. (2016). Assessing the accuracy and readability of online health information for patients with pancreatic cancer. JAMA Surgery Sep 2016, 151(9), 831-837. http://doi.org/10.1109/IPCC.2009.5208668 

  33. Tomasi, S. D. (2014). Using cues to forage for information on the web. Journal of Systems and Information Technology, 16(4), 296-312. http://doi.org/10.1108/JSIT-01-2014-0003 

  34. Warner, D. & Procaccino, J. D. (2004). Toward wellness, Women seeking health information. Journal of the American Society for Information Science & Technology, 55(8), 709-730. http://doi.org/10.1002/asi.20016 

  35. Williams, S. L., Ames, K., & Lawson, C. (2019). Preferences and trust in traditional and nontraditional sources of health information: a study of middle to older aged Australian adults. Journal of Communication in Healthcare, 12(2), 134-142. http://doi.org/10.1080/17538068.2019.1642050 

  36. Wilson, T. D. (1999). Models in information behaviour research. Journal of documentation, 55(3), 249-270. http://doi.org/10.1108/EUM0000000007145 

  37. Wu, W.-C. (2013). How far will you go? Characterizing and predicting online search stopping behavior using information scent and need for cognition. Proceedings of the 36th international ACM SIGIR conference on research and development in information retrieval, 1149. http://doi.org/10.1145/2484028.2484232 

  38. Xie, Bo. & Bugg, Julie M. (2009). Public library computer training for older adults to access high-quality Internet health information. Library & Information Science Research, 31(3), 155-162. http://doi.org/10.1016/j.lisr.2009.03.004 

  39. Yoo, E. Y. & Robbins, L. S. (2008). Understanding middle-aged women's health information seeking on the web, A theoretical approach. Journal of the American Society for Information Science and Technology, 59(4), 577-590. http://doi.org/10.1002/asi.20766 

  40. 과학기술정통부, 한국정보화진흥원 (2021). 2020 디지털 정보격차 실태조사. 서울, 과학기술정통부, 한국정보화진흥원. 

  41. 교육부, 고용노동부 (2013.10.08). 2013년 OECD 국제성인역량조사(PIAAC) 주요 결과발표. 출처: https://moe.go.kr/boardCnts/view.do?boardID294&lev0&statusYNC&smoe&m02&opTypeN&boardSeq50815 

  42. 국립국어교육원 (2001). 표준국어대사전. 출처: https://stdict.korean.go.kr/main/main.do. 

  43. 질병관리청 (2019). 2018건강검진통계연구. [online]. [cited 2020.10.19.]. http://ncov.mohw.go.kr/ 

  44. 통계청 (2020). 2021년 인구동향조사. 출처: https://kostat.go.kr/portal/korea/kor_nw/1/2/3/index.board 

저자의 다른 논문 :

관련 콘텐츠

오픈액세스(OA) 유형

GOLD

오픈액세스 학술지에 출판된 논문

이 논문과 함께 이용한 콘텐츠

섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로