Evidence map›Paper›PMID 41271999›Full record

ArticleScientific reports2025

Smartphone habits are stronger in spaces chosen out of habit.

Morgan Quinn Ross, Lisa Rhee, Huyen Le, Jerry Mount, Yung-Ju Chang, Joseph B Bayer

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Morgan Quinn RossSchool of Communication, Oregon State University, 030H Snell Hall, 2150 SW Jefferson Way, Corvallis, OR, 97331, USA. rossmor@oregonstate.edu.
Lisa RheeSchool of Communication, The Ohio State University, Columbus, OH, 43210, USA.
Huyen LeDepartment of Geography, The Ohio State University, Columbus, OH, 43210, USA.
Jerry MountCollege of Engineering, University of Iowa, Iowa City, IA, 52242, USA.
Yung-Ju ChangDepartment of Computer Science, National Chiao Tung University, Hsinchu, 300, Taiwan.
Joseph B BayerSchool of Communication, The Ohio State University, Columbus, OH, 43210, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Habits are a fundamental driver of human behavior. However, prior research has largely studied habits in isolation. This study investigates spatial and smartphone habits-two cornerstone habits in contemporary society-in tandem, revealing the multiplicative ways in which habitual processes can underlie human behavior. We provide evidence that smartphone habits are stronger in habitually traveled and visited spaces. We leverage a custom-designed app that logged mobility and app use while prompting map-based questionnaires of participants' trips for two weeks (N = 419 participants; n = 27,446,977 GPS and app logs; n = 7,226 trip questionnaires). Overall, app habit strength predicted higher likelihood of app use (vs. non-use) and more app use (when used) on more habitually travelled routes and in more habitually visited destinations. The interaction between spatial and smartphone habits was most consistent for objective (vs. subjective) habit indicators. Social app habits were stronger and more context-independent than non-social app habits. Altogether, our findings reveal how distinct habitual processes can combine to shape daily behavior. Further, our method illustrates the potential of linking mobile sensing and surveying to measure habits in the real world.

Indexed as

HabitsSmartphoneAdultFemaleHumansMaleMiddle AgedMobile ApplicationsSurveys and QuestionnairesYoung AdultHabitual processesMap-based questionnairesMobile sensingSocial appsSpatial habits

Identifiers

PMID41271999
PMCPMC12639163

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.