The Interplay Between Individual Trait and Contextual Factors in Predicting Media Multitasking

The ubiquity of media multitasking and its negative effects on task performance underscore the importance of understanding what drives this behavior. While theoretical models propose that media multitasking arises from an interplay between individual trait and contextual factors, little research has directly examined it from this perspective. Across two studies, we explored the joint role of these factors in media multitasking. Study 1 examined whether relations between in-study media multitasking and individual traits in attention, self-regulation, and real-world media multitasking tendencies differed based on the contextual variable of task difficulty. Individual trait and contextual factors interacted when predicting media multitasking; however, results may have been affected by engagement with activities unrelated to the experimental content. Study 2 investigated the stability of multitasking behaviors and their associations with individual traits across two timepoints. Media multitasking was moderately correlated across sessions and did not consistently correlate with individual traits. It was, however, associated with greater enjoyment of the secondary media. Our findings suggest that media multitasking and its relations with trait measures are highly context-dependent, such that researchers studying media multitasking should carefully consider its sensitivity to context.

Authors

Publication Details

Journal
Figshare
Published
2026-11-11
DOI
https://doi.org/10.6084/m9.figshare.34983605
Primary Topic
Personal Information Management and User Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

The Interplay Between Individual Trait and Contextual Factors in Predicting Media Multitasking

Allison Caroline Drody, Effie J. Pereira, Daniel Smilek, James A. Danckert et al.
Figshare
Personal Information Management and User Behavior
article

The Interplay Between Individual Trait and Contextual Factors in Predicting Media Multitasking

Allison Caroline Drody, Effie J. Pereira, Daniel Smilek, James A. Danckert, Jessica A. Latimer
article en

Abstract

The ubiquity of media multitasking and its negative effects on task performance underscore the importance of understanding what drives this behavior. While theoretical models propose that media multitasking arises from an interplay between individual trait and contextual factors, little research has directly examined it from this perspective. Across two studies, we explored the joint role of these factors in media multitasking. Study 1 examined whether relations between in-study media multitasking and individual traits in attention, self-regulation, and real-world media multitasking tendencies differed based on the contextual variable of task difficulty. Individual trait and contextual factors interacted when predicting media multitasking; however, results may have been affected by engagement with activities unrelated to the experimental content. Study 2 investigated the stability of multitasking behaviors and their associations with individual traits across two timepoints. Media multitasking was moderately correlated across sessions and did not consistently correlate with individual traits. It was, however, associated with greater enjoyment of the secondary media. Our findings suggest that media multitasking and its relations with trait measures are highly context-dependent, such that researchers studying media multitasking should carefully consider its sensitivity to context.

Figshare
Personal Information Management and User Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon