Yapay Zekâya Bağımlı Davranışlar: Davranışsal Kontrolsüzlük, Duygusal Bağlanma ve Bilişsel Zayıflama

Öz

Bu çalışmanın amacı, genç yetişkinlerin yapay zekâ (YZ) kullanımına yönelik bağımlılık eğilimlerini değerlendirmek için geçerli ve güvenilir bir ölçme aracı geliştirmektir. Griffiths'in Bağımlılık Bileşenleri Modeli ve Teknolojik Belirlenimcilik Kuramı temel alınarak tasarlanan çalışma, iki aşamalı veri toplama süreci ile yürütülmüştür. İlk aşamada 307 katılımcıdan elde edilen verilerle açımlayıcı faktör analizi (AFA) gerçekleştirilmiş; ikinci aşamada ise bağımsız 361 kişilik örneklemden elde edilen verilerle ölçüm modelinin geçerliliğini test etmek amacıyla doğrulayıcı faktör analizi (DFA) uygulanmıştır. Kapsam geçerliliği uzman görüşleriyle sağlanmış ve pilot uygulamanın ardından ölçeğin nihai formu 25 maddeden oluşmuştur. AFA sonuçları üç boyutlu bir yapı ortaya koymuştur: Davranışsal Kontrolsüzlük, Duygusal Bağlanma ve Bilişsel Zayıflama. İç tutarlılık analizlerinde Cronbach α katsayıları .82 ile .95 arasında değişmiş ve yüksek düzeyde güvenirlik elde edilmiştir. Ölçek puanları, teknoloji ve internet bağımlılığı ölçekleriyle istatistiksel açıdan anlamlı ve pozitif korelasyonlar göstermiş; bu durum ölçüt geçerliğini desteklemiştir. Bulgular, geliştirilen ölçeğin bireylerin YZ kullanımına ilişkin davranışsal, duygusal ve bilişsel eğilimlerini kapsamlı biçimde değerlendirebildiğini ortaya koymaktadır. Dijital bağımlılık literatürüne katkı sağlamasının yanı sıra bu ölçek, psikolojik danışmanlık, eğitim ortamları ve teknoloji okuryazarlığı programlarında riskli YZ kullanım örüntülerini belirlemek amacıyla da uygulanabilir.

Anahtar Kelimeler

• davranışsal bağımlılık
• ölçek geliştirme
• psikometrik özellikler
• teknolojik belirlenimcilik
• yapay zekâ kullanımı

AI-Dependent Behaviours: Behavioural Dyscontrol, Emotional Attachment, and Cognitive Impairment

Öz

The aim of this study is to develop a valid and reliable measurement tool to assess young adults' dependency tendencies toward the use of artificial intelligence (AI). Grounded in Griffiths' Components Model of Addiction and the Technological Determinism theory, the study was conducted through a two-stage data collection process. In the first stage, exploratory factor analysis (EFA) was performed using data obtained from 307 participants, while in the second stage, confirmatory factor analysis (CFA) was conducted to test the measurement model's validity with data from an independent sample of 361 participants. Content validity was ensured through expert evaluations, and following a pilot study, the final version of the scale consisted of 25 items. The EFA results revealed a three-dimensional structure: Behavioural Dyscontrol, Emotional Attachment, and Cognitive Impairment. Internal consistency analyses indicated high reliability, with Cronbach's α coefficients ranging from .82 to .95. Scale scores demonstrated statistically significant positive correlations with measures of technology and internet addiction, supporting criterion validity. The findings demonstrate that the developed scale can comprehensively assess individuals' behavioural, emotional, and cognitive tendencies regarding AI use. Beyond contributing to the literature on digital addiction, this scale can be applied in psychological counselling, educational settings, and technology literacy programs to identify risky AI usage patterns.

Anahtar Kelimeler

• artificial intelligence use
• behavioral addiction
• psychometric properties
• scale development
• technological determinism

Kaynakça

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