Smartphones have permeated nearly every aspect of life, and existing research has demonstrated that cognitive processes are being offloaded to the smartphone as a mind-extending resource. The digital extended mind describes a circumstance where cognitive processes are offloaded to a digital artifact as a result of perceived reliance, accessibility, and trust with the resource, and little is known about the predictors of the phenomenon. To address this research gap, age, gender, screen time, extraversion, and need for cognition were evaluated as potential predictors of the digital extended mind in this study. A quantitative nonexperimental research methodology with a convenience sample was used to determine if variance in extended mindedness was predictable from age, gender, screen time, extraversion, and need for cognition. Members of the millennial generation and Generation Z, often described as digital natives, have been substantially impacted by the advent of the smartphone and were the focus of this study. The online convenience sample of digital native smartphone users (N = 136) in the United States was collected over a one-month period in August 2020 from Amazon Mechanical Turk. Age, gender, and screen time were collected as self-report variables, and extraversion, need for cognition, and extended mindedness were collected using the 18-item Need for Cognition scale developed by Cacioppo et al. (1984), the Mini International Personality Item Pool developed by Donnellan et al. (2006), and the Extended Mind Questionnaire developed by Nijssen et al. (2018), respectively. A simultaneous multiple regression analysis was performed to determine the collective and unique predictive ability of the independent variables on the outcome variable, and a stepwise multiple regression analysis was performed to determine which variable or combination of variables predicted the most variance in extended mindedness. Data analysis indicated strong reliability (α > .89) for the three scales and that the assumptions for a multiple
linear regression analysis were met. The results of the multiple linear regression analysis indicated that extended mindedness was collectively predictable from age, gender, screen time, extraversion, and need for cognition (F (5, 102) = 4.978, p < .001, R2 = .196, R2adj = .157) and that screen time alone predicted the most variance in extended mindedness (F (1, 106) = 23.752, p < .001, R2 = .183, R2adj = .175). The results of this study suggest that the length of time spent operating a smartphone (i.e., screen time) predicts the degree to which this technology extends the mind.