Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2025, Cilt: 5 Sayı: 1, 52 - 63, 30.04.2025

Öz

Kaynakça

  • AI, W. I. (2018). Artificial intelligence (AI) in healthcare and research. Nuffield Council on Bioethics, 1-8.
  • Bergdahl, J., Latikka, R., Celuch, M., Savolainen, I., Mantere, E. S., Savela, N., & Oksanen, A. (2023). Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives. Telematics and Informatics, 82, 102013. https://doi.org/10.1016/j.tele.2023.102013
  • Büyüköztürk, Ş., Akgün, Ö. E., Kahveci, Ö., & Demirel, F. (2004). Güdülenme ve öğrenme stratejileri ölçeğinin Türkçe formunun geçerlik ve güvenirlik çalışması. Kuram ve Uygulamada Eğitim Bilimleri, 4(2), 207-239.
  • Dignum, V. (2018). Ethics in artificial intelligence: introduction to the special issue. Ethics and Information Technology, 20(1), 1-3. https://doi.org/10.1007/s10676-018-9450-z
  • Doğan, N., Soysal, S., & Karaman, H. (2017). Aynı Örnekleme Açımlayıcı Ve Doğrulayıcı Faktör Analizi Uygulanabilir Mi? In Ö. D. Demirel, Serkan (Ed.), Küreselleşen Dünyada Eğitim (pp. 374-400). doi:10.14527/9786053188407.25
  • Erkuş, A. (2003). Psikometri Üzerine Yazılar: Ölçme ve psikometrinin tarihsel kökenleri, güvenirlik, geçerlik, madde analizi, tutumlar: Türk psikologlar Derneği.
  • Esmaeilzadeh, P. (2020). Use of AI-based tools for healthcare purposes: a survey study from consumers' perspectives. BMC Med Inform Decis Mak, 20(1), 170. doi:10.1186/s12911-020-01191-1
  • Fritsch, S. J., Blankenheim, A., Wahl, A., Hetfeld, P., Maassen, O., Deffge, S., . . . Bickenbach, J. (2022). Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients. Digit Health, 8, 20552076221116772. doi:10.1177/20552076221116772
  • Gümüş, M., Kızılkaya, E., Orhan, S., & Maltaş, E. (2022). Effects Of Artificial Intelligence Used In Healthcare On Confidence On Patient And Physician. GEVHER NESIBE JOURNAL OF MEDICAL AND HEALTH SCIENCES, 7(16), 30-36. doi:10.46648/gnj.301
  • Hayduk, L. A. (1987). Structural equation modeling with LISREL: Essentials and advances: Jhu Press. Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., . . . Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4). https://doi.org/10.1136/svn-2017-000101
  • Kleinsinger, F. (2003). Understanding noncompliant behavior: definitions and causes. The Permanente Journal, 7(4), 18. PMCID: PMC5571787
  • Kline, R. B. (2023). Principles and practice of structural equation modeling: Guilford publications. Koyuncu, İ., & Kılıç, A. F. (2019). Açımlayıcı ve doğrulayıcı faktör analizlerinin kullanımı: Bir doküman incelemesi. Eğitim ve Bilim, 44(198). http://dx.doi.org/10.15390/EB.2019.7665
  • Laï, M.-C., Brian, M., & Mamzer, M.-F. (2020). Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France. Journal of translational medicine, 18(1), 1-13. https://doi.org/10.1186/s12967-019-02204-y
  • Lennartz, S., Dratsch, T., Zopfs, D., Persigehl, T., Maintz, D., Große Hokamp, N., & Pinto dos Santos, D. (2021). Use and control of artificial intelligence in patients across the medical workflow: single-center questionnaire study of patient perspectives. Journal of Medical Internet Research, 23(2), e24221. doi: 10.2196/24221
  • Makridakis, S. (1995). The forthcoming information revolution. Futures, 27(8), 799-821. https://doi.org/10.1016/0016-3287(95)00046-Y
  • Marcoulides, G. A., & Schumacker, R. E. (2001). New developments and techniques in structural equation modeling: Psychology Press. https://doi.org/10.4324/9781410601858
  • Olhede, S. C., & Wolfe, P. J. (2018). The growing ubiquity of algorithms in society: implications, impacts and innovations. Philos Trans A Math Phys Eng Sci, 376(2128). https://doi.org/10.1098/rsta.2017.0364 Rigby, M. J. (2019). Ethical dimensions of using artificial intelligence in health care. AMA Journal of Ethics, 21(2), 121-124. 10.1001/amajethics.2019.121
  • Rodway, P., & Schepman, A. (2023). The impact of adopting AI educational technologies on projected course satisfaction in university students. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2023.100150
  • Romero-Brufau, S., Wyatt, K. D., Boyum, P., Mickelson, M., Moore, M., & Cognetta-Rieke, C. (2020). A lesson in implementation: a pre-post study of providers’ experience with artificial intelligence-based clinical decision support. International journal of medical informatics, 137. Doi:10.1016/j.ijmedinf.2019.104072
  • Russell, S. J., & Norvig, P. (2010). Artificial intelligence a modern approach: London. DOI:10.1016/j.artint.2011.01.005 Schepman, A., & Rodway, P. (2020). Initial validation of the general attitudes towards Artificial Intelligence Scale. Comput Hum Behav Rep, 1, 100014. https://doi.org/10.1016/j.chbr.2020.100014
  • Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The counseling psychologist, 34(6), 806-838. https://doi.org/10.1177/0011000006288

Validity And Reliability Study of General Attitude Scale Towards Artificial Intelligence in Healthcare

Yıl 2025, Cilt: 5 Sayı: 1, 52 - 63, 30.04.2025

Öz

In order for artificial intelligence based systems to be completely functional and successful, users' attitudes and perceptions about artificial intelligence need to be carefully examined. It was aimed at adapting the general attitude scale regarding artificial intelligence into Turkish and determining its validity and reliability with the data collected from patients. The "General Attitude Towards Artificial Intelligence Scale," which consists of 20 items, was used to evaluate the general attitude toward artificial intelligence. The study involved 329 participants. 329 participants in total, ranging in age from 18 to 65, took part in the research. Of the participants, 111 (34%) were men and 218 (66%) were women. Cronbach Alpha values for positive, negative, and general attitudes are 0.917, 0.827, and 0.871, respectively. The mean score for positive attitudes is 3.40, 2.99 for negative attitudes and 3.19 for the overall mean. The results of the study demonstrate that the Turkish version of the "General Attitude Towards Artificial Intelligence Scale" can be considered a reliable and valid measurement tool that is appropriate for usage in our country. The scale might be considered a crucial instrument for distinguishing attitudes toward the positive and negative aspects of artificial intelligence. It is believed to be beneficial to the studies to be conducted in health services and with patients.

Kaynakça

  • AI, W. I. (2018). Artificial intelligence (AI) in healthcare and research. Nuffield Council on Bioethics, 1-8.
  • Bergdahl, J., Latikka, R., Celuch, M., Savolainen, I., Mantere, E. S., Savela, N., & Oksanen, A. (2023). Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives. Telematics and Informatics, 82, 102013. https://doi.org/10.1016/j.tele.2023.102013
  • Büyüköztürk, Ş., Akgün, Ö. E., Kahveci, Ö., & Demirel, F. (2004). Güdülenme ve öğrenme stratejileri ölçeğinin Türkçe formunun geçerlik ve güvenirlik çalışması. Kuram ve Uygulamada Eğitim Bilimleri, 4(2), 207-239.
  • Dignum, V. (2018). Ethics in artificial intelligence: introduction to the special issue. Ethics and Information Technology, 20(1), 1-3. https://doi.org/10.1007/s10676-018-9450-z
  • Doğan, N., Soysal, S., & Karaman, H. (2017). Aynı Örnekleme Açımlayıcı Ve Doğrulayıcı Faktör Analizi Uygulanabilir Mi? In Ö. D. Demirel, Serkan (Ed.), Küreselleşen Dünyada Eğitim (pp. 374-400). doi:10.14527/9786053188407.25
  • Erkuş, A. (2003). Psikometri Üzerine Yazılar: Ölçme ve psikometrinin tarihsel kökenleri, güvenirlik, geçerlik, madde analizi, tutumlar: Türk psikologlar Derneği.
  • Esmaeilzadeh, P. (2020). Use of AI-based tools for healthcare purposes: a survey study from consumers' perspectives. BMC Med Inform Decis Mak, 20(1), 170. doi:10.1186/s12911-020-01191-1
  • Fritsch, S. J., Blankenheim, A., Wahl, A., Hetfeld, P., Maassen, O., Deffge, S., . . . Bickenbach, J. (2022). Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients. Digit Health, 8, 20552076221116772. doi:10.1177/20552076221116772
  • Gümüş, M., Kızılkaya, E., Orhan, S., & Maltaş, E. (2022). Effects Of Artificial Intelligence Used In Healthcare On Confidence On Patient And Physician. GEVHER NESIBE JOURNAL OF MEDICAL AND HEALTH SCIENCES, 7(16), 30-36. doi:10.46648/gnj.301
  • Hayduk, L. A. (1987). Structural equation modeling with LISREL: Essentials and advances: Jhu Press. Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., . . . Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4). https://doi.org/10.1136/svn-2017-000101
  • Kleinsinger, F. (2003). Understanding noncompliant behavior: definitions and causes. The Permanente Journal, 7(4), 18. PMCID: PMC5571787
  • Kline, R. B. (2023). Principles and practice of structural equation modeling: Guilford publications. Koyuncu, İ., & Kılıç, A. F. (2019). Açımlayıcı ve doğrulayıcı faktör analizlerinin kullanımı: Bir doküman incelemesi. Eğitim ve Bilim, 44(198). http://dx.doi.org/10.15390/EB.2019.7665
  • Laï, M.-C., Brian, M., & Mamzer, M.-F. (2020). Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France. Journal of translational medicine, 18(1), 1-13. https://doi.org/10.1186/s12967-019-02204-y
  • Lennartz, S., Dratsch, T., Zopfs, D., Persigehl, T., Maintz, D., Große Hokamp, N., & Pinto dos Santos, D. (2021). Use and control of artificial intelligence in patients across the medical workflow: single-center questionnaire study of patient perspectives. Journal of Medical Internet Research, 23(2), e24221. doi: 10.2196/24221
  • Makridakis, S. (1995). The forthcoming information revolution. Futures, 27(8), 799-821. https://doi.org/10.1016/0016-3287(95)00046-Y
  • Marcoulides, G. A., & Schumacker, R. E. (2001). New developments and techniques in structural equation modeling: Psychology Press. https://doi.org/10.4324/9781410601858
  • Olhede, S. C., & Wolfe, P. J. (2018). The growing ubiquity of algorithms in society: implications, impacts and innovations. Philos Trans A Math Phys Eng Sci, 376(2128). https://doi.org/10.1098/rsta.2017.0364 Rigby, M. J. (2019). Ethical dimensions of using artificial intelligence in health care. AMA Journal of Ethics, 21(2), 121-124. 10.1001/amajethics.2019.121
  • Rodway, P., & Schepman, A. (2023). The impact of adopting AI educational technologies on projected course satisfaction in university students. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2023.100150
  • Romero-Brufau, S., Wyatt, K. D., Boyum, P., Mickelson, M., Moore, M., & Cognetta-Rieke, C. (2020). A lesson in implementation: a pre-post study of providers’ experience with artificial intelligence-based clinical decision support. International journal of medical informatics, 137. Doi:10.1016/j.ijmedinf.2019.104072
  • Russell, S. J., & Norvig, P. (2010). Artificial intelligence a modern approach: London. DOI:10.1016/j.artint.2011.01.005 Schepman, A., & Rodway, P. (2020). Initial validation of the general attitudes towards Artificial Intelligence Scale. Comput Hum Behav Rep, 1, 100014. https://doi.org/10.1016/j.chbr.2020.100014
  • Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The counseling psychologist, 34(6), 806-838. https://doi.org/10.1177/0011000006288
Toplam 21 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sağlık Hizmetleri ve Sistemleri (Diğer)
Bölüm Araştırma Makaleleri
Yazarlar

Nazlı Kaya 0000-0002-1557-6294

Emre İşci 0000-0001-5299-4770

Yayımlanma Tarihi 30 Nisan 2025
Gönderilme Tarihi 11 Ağustos 2024
Kabul Tarihi 7 Ocak 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 5 Sayı: 1

Kaynak Göster

APA Kaya, N., & İşci, E. (2025). Validity And Reliability Study of General Attitude Scale Towards Artificial Intelligence in Healthcare. Fenerbahçe University Journal of Health Sciences, 5(1), 52-63.