Evidence map›Paper›PMID 36289177›Full record

ArticleBehavior research methods2023

ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones.

Andrew Z H Yee, Ryan Yu, Sun Sun Lim, Kwan Hui Lim, Tien Tuan Anh Dinh, Lionell Loh, Andre Hadianto, Miguel Quizon

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Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

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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

8 authors.

Andrew Z H YeeHumanities, Arts, and Social Sciences, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore. andrew_yee@sutd.edu.sg.ORCID 0000-0002-7854-8792
Ryan YuInformation Systems Technology and Design, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore.
Sun Sun LimHumanities, Arts, and Social Sciences, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore.
Kwan Hui LimInformation Systems Technology and Design, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore.
Tien Tuan Anh DinhInformation Systems Technology and Design, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore.
Lionell LohInformation Systems Technology and Design, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore.
Andre HadiantoInformation Systems Technology and Design, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore.
Miguel QuizonInformation Systems Technology and Design, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As our interactions with each other become increasingly digitally mediated, there is growing interest in the study of people's digital experiences. To better understand digital experiences, some researchers have proposed the use of screenomes. This involves the collection of sequential high-frequency screenshots which provide detailed objective records of individuals' interaction with screen devices over time. Despite its usefulness, there remains no readily available tool that researchers can use to run their own screenome studies. To fill this gap, we introduce ScreenLife Capture, a user-friendly and open-source software to collect screenomes from smartphones. Using this tool, researchers can set up smartphone screenome studies even with limited programming knowledge and resources. We piloted the tool in an exploratory mixed-method study of 20 college students, collecting over 740,000 screenshots over a 2-week period. We found that smartphone use is highly heterogeneous, characterized by threads of experiences. Using in-depth interviews, we also explored the impact that constant background surveillance of smartphone use had on participants. Participants generally had slight psychological discomfort which fades after a few days, would suspend screen recording for activity perceived to be extremely private, and recounted slight changes in behavior. Implications for future research is discussed.

Indexed as

SmartphoneSoftwareHumansStudentsDigital mediaMobileScreenomicsScreen timeSmartphone

Identifiers

PMID36289177
PMCPMC9607811

What OpenQuestion holds

Textmetadata
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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.