The present study was conducted with the aim of predicting the use of digital technologies using personality traits, resilience, and attachment styles. The present study is a descriptive study in terms of purpose and a correlational study in terms of research method. The statistical population of the present study included all students of Payam Noor University of Qeshm, whose total number was estimated to be 3000. The sampling in this study will be stratified sampling, in which all students of the Faculty of Humanities of Payam Noor University of Qeshm were selected from among the groups, the Humanities Department, and the Educational Sciences and Psychology Department were selected from among the groups. The number of students in this group was estimated to be 1200, of which 291 were selected as a sample according to the Morgan table. The data collection tools in the present study were the Digital Technology Usage Questionnaire (2022), the Personality Traits Questionnaire (Bass et al., 1975), and the Connor-Davidson Resilience Questionnaire (2003). The data obtained in the present study were analyzed in the Spss-26 software using multiple regression analysis. The results showed that the slope of the standardized regression line for the personality traits variable is (0.852), for the resilience variable is (0.09), and for the attachment styles variable is (-0.01). Considering that the significance level of these coefficients in the personality traits variable is less than 0.05, this coefficient has a significant difference with zero. As a result, the first hypothesis (prediction of the use of digital technology using personality traits) of the study is confirmed, and the second hypothesis (prediction of the use of digital technology using resilience) and the third hypothesis (prediction of the use of digital technology using attachment styles) of the study are rejected.