EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 218 (2020) E3S Web Conf., 218 (2020) 02019 References
Open Access
Issue
E3S Web Conf.
Volume 218, 2020
2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
Article Number 02019
Number of page(s) 6
Section New Energy Development and Energy Sustainable Development Optimization
DOI https://doi.org/10.1051/e3sconf/202021802019
Published online 11 December 2020
  1. Lowgren, J., Carroll, J.M., Hassenzahl, M., Erickson T. Industrial Design by Kees Overbees and Caroline Hummels The Encyclopedia of Human-Computer Interaction, 2nd Ed. (Interaction Design Foundation) [Google Scholar]
  2. Casais, M., Mugge, R., Desmet, P. (2018) Objects with symbolic meaning: 16 directions to inspire design for well-being. J Des. Res. 16: 247. [Google Scholar]
  3. Banos, O., Bilal Amin, M., Ali Khan, W., Afzal, M., Hussain, M., Kang, B.H., Lee S. (2016) The Mining Minds digital health and wellness framework. Biomed. Eng. OnLine 15: 76. [CrossRef] [PubMed] [Google Scholar]
  4. Maurice, M.-P. (1958) Phenomenology of Perception. (London, England, Routledge) [Google Scholar]
  5. Locher, P., Overbeeke, K., Wensveen, S. (2010) Aesthetic Interaction: A Framework. Des. Issues 26: 70–9. [Google Scholar]
  6. Hocking, C. (1999) Function or feelings: factors in abandonment of assistive devices. Technol. Disabil. 11: 3–11. [CrossRef] [Google Scholar]
  7. Ledger, D., McCaffrey, D. (2014) Inside wearables: How the science of human behavior change offers the secret to long-term engagement. Endeav. Partn. 200: 1. [Google Scholar]
  8. Rosenstock, I.M., Strecher, V.J., Becker, M.H. (1988) Social Learning Theory and the Health Belief Model. Health Educ. Q. 15: 175–83. [CrossRef] [PubMed] [Google Scholar]
  9. Buchwald, A., Letner, A., Urbach, N. Towards Explaining the Use of Self-Tracking Devices: Conceptual Development of a Continuance and Discontinuance Model. 12. [Google Scholar]
  10. Norman, P., Brain, K. (2005) An application of an extended health belief model to the prediction of breast self-examination among women with a family history of breast cancer. Br. J. Health Psychol. 10: 1–16. [CrossRef] [Google Scholar]
  11. Wdowik, M.J., Kendall, P.A., Harris, M.A., Auld, G. (2001) Expanded Health Belief Model Predicts Diabetes Self-Management in College Students. J. Nutr. Educ. 33: 17–23. [CrossRef] [PubMed] [Google Scholar]
  12. Webb, T.L., Sheeran, P. (2006) Does changing behavioral intentions engender behavior change? A meta-analysis of the experimental evidence. Psychol. Bull. 132: 249–68. [CrossRef] [PubMed] [Google Scholar]
  13. Glanz, K., Bishop, D.B. (2010) The Role of Behavioral Science Theory in Development and Implementation of Public Health Interventions. Annu. Rev. Public Health 31: 399–418. [CrossRef] [PubMed] [Google Scholar]
  14. Scarinci, I.C., Bandura, L., Hidalgo, B., Cherrington, A. (2012) Development of a Theory-Based (PEN-3 and Health Belief Model), Culturally Relevant Intervention on Cervical Cancer Prevention Among Latina Immigrants Using Intervention Mapping. Health Promot. Pract. 13: 29–40. [CrossRef] [PubMed] [Google Scholar]
  15. Valdez, A., Banerjee, K., Ackerson, L., Fernandez, M. (2002) A multimedia breast cancer education intervention for low-income Latinas. J. Community Health 27: 33–51. [CrossRef] [PubMed] [Google Scholar]
  16. Fernández, M.E., Diamond, P.M., Rakowski, W., Gonzales, A., Tortolero-Luna, G., Williams, J., Morales-Campos, D.Y. (2009) Development and Validation of a Cervical Cancer Screening Self Efficacy Scale for Low-Income Mexican American Women. Cancer Epidemiol. Biomark. Prev. Publ. Am. Assoc. Cancer Res. Cosponsored Am. Soc. Prev. Oncol. 18: 866–75. [Google Scholar]
  17. Navarro, A.M., Senn, K.L., McNicholas, L.J., Kaplan, R.M., Roppé, B., Campo, M.C. (1998) Por La Vida model intervention enhances use of cancer screening tests among Latinas. Am. J. Prev. Med. 15: 32–41. [CrossRef] [PubMed] [Google Scholar]
  18. Bandura, A. (1978) Self-efficacy: Toward a unifying theory of behavioral change. Adv. Behav. Res. Ther. 1: 139–61. [Google Scholar]
  19. Schüz, B., Sniehotta, F.F., Wiedemann, A., Seemann, R. (2006) Adherence to a daily flossing regimen in university students: effects of planning when, where, how and what to do in the face of barriers. J. Clin. Periodontol. 33: 612–9. [CrossRef] [PubMed] [Google Scholar]
  20. Gochman, D.S. (1997) Handbook of Health Behavior Research II Provider Determinants. (New York: Plenum) [Google Scholar]
  21. Ellen, P.S., Bearden, W.O., Sharma, S. (1991) Resistance to technological innovations: An examination of the role of self-efficacy and performance satisfaction. J. Acad. Mark. Sci. 19: 297–307. [CrossRef] [Google Scholar]
  22. Sherer, M., Maddux, J.E., Mercandante, B., Prentice Dunn, S., Jacobs, B., Rogers, R.W. (1982) The Self Efficacy Scale: Construction and Validation. Psychol. Rep. 51: 663–71. [CrossRef] [Google Scholar]
  23. Bandura, A. (1977) Self-efficacy: Toward a unifying theory of behavioral change. Psychol. Rev. 84: 191–215. [Google Scholar]
  24. Zaunbrecher, B.S., Kowalewski, S., Ziefle, M. (2014) The Willingness to Adopt Technologies: A Cross Sectional Study on the Influence of Technical Selfefficacy on Acceptance. Human-Computer Interaction. Applications and Services vol 8512, ed M Kurosu (Cham: Springer International Publishing) pp 764–75 [CrossRef] [Google Scholar]
  25. Farah, A.C. (2012) Factors Influencing Teachers’ Technology Self-Efficacy: A Case Study. (Pro Quest LLC) [Google Scholar]
  26. Bose, I.C., Olanrewaju, A.K., Bamidele, O. TECHNOLOGY USE AND SELF-EFFICACY AS PREDICTORS OF ACADEMIC STANDING AMONG POLYTECHNIC STUDENTS IN OGUN STATE. [Google Scholar]
  27. Iwelunmor, J., Newsome, V., Airhihenbuwa, C.O. (2014) Framing the impact of culture on health: a systematic review of the PEN-3 cultural model and its application in public health research and interventions. Ethn. Health 19: 20–46. [CrossRef] [PubMed] [Google Scholar]
  28. Airhihenbuwa, C.O. (1989) Perspectives on AIDS in Africa: strategies for prevention and control. AIDS Educ. Prev. Off. Publ. Int. Soc. AIDS Educ. 1: 57–69. [Google Scholar]
  29. Airhihenbuwa, C., Okoror, T., Shefer, T., Brown, D., Iwelunmor, J., Smith, E., Adam, M., Simbayi, L., Zungu, N., Dlakulu, R., Shisana O. (2009) Stigma, Culture, and HIV and AIDS in the Western Cape, South Africa: An Application of the PEN-3 Cultural Model for Community-Based Research. J. Black Psychol. 35: 407–32. [CrossRef] [PubMed] [Google Scholar]
  30. Jones, C.L., Jensen, J.D., Scherr, C.L., Brown, N.R., Christy, K., Weaver J. (2015) The Health Belief Model as an Explanatory Framework in Communication Research: Exploring Parallel, Serial, and Moderated Mediation. Health Commun. 30: 566–76. [Google Scholar]
  31. Chen, Y., Chen, X., Gu, T. (2019) Research on the Influence of Expected Confirmations on the Willingness of Continuous Use of Online Knowledge Q&A Community under the Framework of ECM-ISC ECM-ISC. Agric. Libr. Inf. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.