Araştırma Makalesi
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THE EFFECT OF HEALTHCARE APPLICATION LOGO DESIGNS ON USER’S RELIABILITY PERCEPTION

Yıl 2025, Cilt: 9 Sayı: 2, 150 - 170, 22.05.2025

Öz

The aim of this study is to examine the sense of trust that the logos of applications operating in various subcategories in the field of health evoke in users. The study evaluated application logos in different categories such as health, nutrition, child health, fitness, medicines, first aid, chronic diseases, mental health, therapy, and sleep. This study is a cross-sectional survey study conducted using the quantitative research method. The aim of the study is to examine the effect of the logo designs of health applications on the perception of trustworthiness of users. Since it is known that the color in the logo directly affects user trust, all logos were converted to black and white in order to eliminate this effect. This study examined the effects of the logo designs of health applications on the perception of trustworthiness of users. Participants evaluated a total of 55 logos in 10 different categories using a Likert scale ranging from 1 to 9. The obtained data revealed that there were significant differences in terms of perception of trustworthiness among the subcategories of health applications. These differences show that the first impression and sense of trust created by logo designs on users vary according to the content and purpose of the application.

Kaynakça

  • Budd, J., Miller, B. S., Manning, E. M., Lampos, V., Zhuang, M., Edelstein, M., Rahim, E., Ramcharan, V., Sweeny, A., Batra, R., Nowozin, S., Lorenc, T., Robinson, M., Vollmer, M., Chan, S., Almond, S., Stevens, W., Altmann, E., Raman, R., ... McKendry, R. A. (2020). Digital technologies in the public-health response to COVID-19. Nature Medicine, 26(8), 1183–1192. https://doi.org/10.1038/s41591-020-1011-4
  • Carroll, J. M. (1997). Human-computer interaction: Psychology as a science of design. Annual Review of Psychology, 48, 61–83. https://doi.org/10.1146/annurev.psych.48.1.61
  • Cyr, D., Head, M., & Larios, H. (2010). Colour appeal in website design within and across cultures: A multi-method evaluation. International Journal of Human-Computer Studies, 68(1–2), 1–21. https://doi.org/10.1016/j.ijhcs.2009.08.005
  • Çağıltay, K. (2018). İnsan-bilgisayar etkileşimi ve kullanılabilirlik mühendisliği. Seçkin Yayıncılık.
  • Henderson, P. W., & Cote, J. A. (1998). Guidelines for selecting or modifying logos. Journal of Marketing, 62(2), 14–30. https://doi.org/10.1177/002224299806200202
  • Kim, G. J. (2020). Human-computer interaction fundamentals and practice. CRC Press.
  • Labrecque, L. I., & Milne, G. R. (2012). Exciting red and competent blue: The importance of color in marketing. Journal of the Academy of Marketing Science, 40(5), 711–727. https://doi.org/10.1007/s11747-010-0245-y
  • Lindgaard, G., Fernandes, G., Dudek, C., & Brown, J. (2006). Attention web designers: You have 50 milliseconds to make a good first impression! Behaviour & Information Technology, 25(2), 115–126. https://doi.org/10.1080/01449290500330448
  • Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38(1), 43–52. https://doi.org/10.1207/S15326985EP3801_6
  • Mortezaei, S., Rabiei, R., Asadi, F., & Emami, H. (2023). Development and usability evaluation of a mHealth application for albinism self-management. BMC Medical Informatics and Decision Making, 23, Article 112. https://doi.org/10.1186/s12911-023-02276-9
  • Nazar, M., Mansoor, M., Yafi, E., & Su’ud, M. M. (2021). A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques. IEEE Access, 9, 153316–153348. https://doi.org/10.1109/ACCESS.2021.3127477
  • Park, H., & McKilligan, S. (2018). A systematic literature review for human-computer interaction and design thinking process integration. In M. Kurosu (Ed.), Design, user experience, and usability: Design thinking and practice (pp. 430–448). Springer. https://doi.org/10.1007/978-3-319-91800-6_33
  • Research2Guidance. (2023). Digital health market size, share & trends analysis report by technology, by component, by region, and segment forecasts, 2023–2030. Fortune Business Insights. https://www.fortunebusinessinsights.com/industry-reports/digital-health-market-100227
  • Sandnes, F. E. (2021). A bibliometric study of human-computer interaction research activity in the Nordic-Baltic Eight countries. Scientometrics, 126(8), 6265–6292. https://doi.org/10.1007/s11192-021-03957-7
  • Statista. (2023). Number of smartphone users worldwide from 2016 to 2023. https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/
  • Van der Lans, R., Cote, J. A., Cole, C. A., Leong, S. M., Smidts, A., Henderson, P. W., Bluemelhuber, C., Bottomley, P. A., Doyle, J. R., Fedorikhin, A., Moorthy, J., Ramaseshan, B., & Schmitt, B. H. (2009). Cross-national logo evaluation analysis: An individual-level approach. Marketing Science, 28(5), 968–985. https://doi.org/10.1287/mksc.1080.0450
  • Vollero, L., Biondo, D., Setola, R., Bocci, G., Mammoliti, R., & Toma, A. (2017). Improving the automatic identification of malicious android apps in unofficial stores through logo analysis. In Proceedings of the 3rd International Conference on Information Systems Security and Privacy (pp. 567–572). SciTePress. https://doi.org/10.5220/0006146405670572
  • Xueying, W., & Bingjian, Z. (2020). Research on APP icon based on logo design. In Recent Trends in Intelligent Computing, Communication and Devices: Advances in Intelligent Systems and Computing (Vol. 1103, pp. 1059–1076). Springer. https://doi.org/10.1007/978-981-15-1483-8_91
  • Zhang, P., Li, N., Scialdone, M., & Carey, J. (2009). The intellectual advancement of human-computer interaction research: A critical assessment of the MIS literature (1990–2008). AIS Transactions on Human-Computer Interaction, 1(3), 55–107.
  • Zhao, Y., Ni, Q., & Zhou, R. (2018). What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age. International Journal of Information Management, 43, 342–350. https://doi.org/10.1016/j.ijinfomgt.2017.08.006

SAĞLIK UYGULAMALARININ LOGO TASARIMLARININ KULLANICI GÜVENİLİRLİK ALGISI ÜZERINE ETKİSİ

Yıl 2025, Cilt: 9 Sayı: 2, 150 - 170, 22.05.2025

Öz

Bu çalışmanın amacı, sağlık alanında çeşitli alt kategorilerde faaliyet gösteren uygulamaların logolarının kullanıcılarda uyandırdığı güven duygusunu incelemektir. Çalışmada uygulama logoları sağlık, beslenme, çocuk sağlığı, fitness, ilaçlar, ilk yardım, kronik hastalıklar, ruh sağlığı, terapi ve uyku gibi farklı kategorilerde değerlendirilmiştir. Bu çalışma, nicel araştırma yöntemi kullanılarak yürütülen kesitsel bir anket çalışmasıdır. Çalışmanın amacı, sağlık uygulamalarının logo tasarımlarının kullanıcıların güven algısı üzerindeki etkisini incelemektir. Logodaki rengin kullanıcı güvenini doğrudan etkilediği bilindiğinden bu etkiyi ortadan kaldırmak amacıyla tüm logolar siyah beyaza dönüştürülmüştür. Bu çalışmada sağlık uygulamalarının logo tasarımlarının kullanıcıların güven algısı üzerindeki etkileri incelenmiştir. Katılımcılar toplam 55 logoyu 1'den 9'a kadar değişen Likert ölçeği kullanarak 10 farklı kategoride değerlendirmişlerdir. Elde edilen veriler, sağlık uygulamalarının alt kategorileri arasında güven algısı açısından anlamlı farklılıklar olduğunu ortaya koymuştur. Bu farklılıklar, logo tasarımlarının kullanıcılarda yarattığı ilk izlenimin ve güven duygusunun, uygulamanın içeriğine ve amacına göre farklılık gösterdiğini göstermektedir.

Kaynakça

  • Budd, J., Miller, B. S., Manning, E. M., Lampos, V., Zhuang, M., Edelstein, M., Rahim, E., Ramcharan, V., Sweeny, A., Batra, R., Nowozin, S., Lorenc, T., Robinson, M., Vollmer, M., Chan, S., Almond, S., Stevens, W., Altmann, E., Raman, R., ... McKendry, R. A. (2020). Digital technologies in the public-health response to COVID-19. Nature Medicine, 26(8), 1183–1192. https://doi.org/10.1038/s41591-020-1011-4
  • Carroll, J. M. (1997). Human-computer interaction: Psychology as a science of design. Annual Review of Psychology, 48, 61–83. https://doi.org/10.1146/annurev.psych.48.1.61
  • Cyr, D., Head, M., & Larios, H. (2010). Colour appeal in website design within and across cultures: A multi-method evaluation. International Journal of Human-Computer Studies, 68(1–2), 1–21. https://doi.org/10.1016/j.ijhcs.2009.08.005
  • Çağıltay, K. (2018). İnsan-bilgisayar etkileşimi ve kullanılabilirlik mühendisliği. Seçkin Yayıncılık.
  • Henderson, P. W., & Cote, J. A. (1998). Guidelines for selecting or modifying logos. Journal of Marketing, 62(2), 14–30. https://doi.org/10.1177/002224299806200202
  • Kim, G. J. (2020). Human-computer interaction fundamentals and practice. CRC Press.
  • Labrecque, L. I., & Milne, G. R. (2012). Exciting red and competent blue: The importance of color in marketing. Journal of the Academy of Marketing Science, 40(5), 711–727. https://doi.org/10.1007/s11747-010-0245-y
  • Lindgaard, G., Fernandes, G., Dudek, C., & Brown, J. (2006). Attention web designers: You have 50 milliseconds to make a good first impression! Behaviour & Information Technology, 25(2), 115–126. https://doi.org/10.1080/01449290500330448
  • Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38(1), 43–52. https://doi.org/10.1207/S15326985EP3801_6
  • Mortezaei, S., Rabiei, R., Asadi, F., & Emami, H. (2023). Development and usability evaluation of a mHealth application for albinism self-management. BMC Medical Informatics and Decision Making, 23, Article 112. https://doi.org/10.1186/s12911-023-02276-9
  • Nazar, M., Mansoor, M., Yafi, E., & Su’ud, M. M. (2021). A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques. IEEE Access, 9, 153316–153348. https://doi.org/10.1109/ACCESS.2021.3127477
  • Park, H., & McKilligan, S. (2018). A systematic literature review for human-computer interaction and design thinking process integration. In M. Kurosu (Ed.), Design, user experience, and usability: Design thinking and practice (pp. 430–448). Springer. https://doi.org/10.1007/978-3-319-91800-6_33
  • Research2Guidance. (2023). Digital health market size, share & trends analysis report by technology, by component, by region, and segment forecasts, 2023–2030. Fortune Business Insights. https://www.fortunebusinessinsights.com/industry-reports/digital-health-market-100227
  • Sandnes, F. E. (2021). A bibliometric study of human-computer interaction research activity in the Nordic-Baltic Eight countries. Scientometrics, 126(8), 6265–6292. https://doi.org/10.1007/s11192-021-03957-7
  • Statista. (2023). Number of smartphone users worldwide from 2016 to 2023. https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/
  • Van der Lans, R., Cote, J. A., Cole, C. A., Leong, S. M., Smidts, A., Henderson, P. W., Bluemelhuber, C., Bottomley, P. A., Doyle, J. R., Fedorikhin, A., Moorthy, J., Ramaseshan, B., & Schmitt, B. H. (2009). Cross-national logo evaluation analysis: An individual-level approach. Marketing Science, 28(5), 968–985. https://doi.org/10.1287/mksc.1080.0450
  • Vollero, L., Biondo, D., Setola, R., Bocci, G., Mammoliti, R., & Toma, A. (2017). Improving the automatic identification of malicious android apps in unofficial stores through logo analysis. In Proceedings of the 3rd International Conference on Information Systems Security and Privacy (pp. 567–572). SciTePress. https://doi.org/10.5220/0006146405670572
  • Xueying, W., & Bingjian, Z. (2020). Research on APP icon based on logo design. In Recent Trends in Intelligent Computing, Communication and Devices: Advances in Intelligent Systems and Computing (Vol. 1103, pp. 1059–1076). Springer. https://doi.org/10.1007/978-981-15-1483-8_91
  • Zhang, P., Li, N., Scialdone, M., & Carey, J. (2009). The intellectual advancement of human-computer interaction research: A critical assessment of the MIS literature (1990–2008). AIS Transactions on Human-Computer Interaction, 1(3), 55–107.
  • Zhao, Y., Ni, Q., & Zhou, R. (2018). What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age. International Journal of Information Management, 43, 342–350. https://doi.org/10.1016/j.ijinfomgt.2017.08.006
Toplam 20 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yeni Medya, İletişim ve Medya Çalışmaları (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Asiye Bilgili 0000-0002-9776-5119

Emre Akadal 0000-0001-6817-0127

Yayımlanma Tarihi 22 Mayıs 2025
Gönderilme Tarihi 7 Şubat 2025
Kabul Tarihi 3 Mayıs 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 9 Sayı: 2

Kaynak Göster

APA Bilgili, A., & Akadal, E. (2025). THE EFFECT OF HEALTHCARE APPLICATION LOGO DESIGNS ON USER’S RELIABILITY PERCEPTION. Yeni Medya Elektronik Dergisi, 9(2), 150-170.


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