Back to search

Article

Digital Traces of Everyday Smartphone Usage Predict Cognitive Ability

2025-08-10

Abstract excerpt

<p>Scalable, objective judgments of individuals’ everyday cognitive functioning may facilitate decision making in key societal domains, including educational, occupational, and healthcare contexts. In a preregistered, theory-informed machine learning approach, we examine how digital traces of everyday smartphone usage allow for predictions of individuals’ general fluid intelligence (Gf), one of the most central hu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4826b5d3-7b7c-5e11-b1e4-5c2aa974a8e1
DOI
10.31234/osf.io/adqre_v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Digital Traces of Everyday Smartphone Usage Predict Cognitive AbilityDOI 10.31234/osf.io/adqre_v1
Select a neighboring publication to make it the new centre.