ArticleBehavior research methods2023
ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones.
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.
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Who cites it
8 citing papers in PubMed.
- Predicting Momentary Suicidal Ideation From Smartphone Screenshots Using Vision-Language Models: Prospective Machine Learning Study.JMIR mental health · 2026Article
- Passive vs Active Nighttime Smartphone Use as Markers of Next-Day Suicide Risk.JAMA network open · 2025Article
- Stanford Screenomics: An Open-source Platform for Unobtrusive Multimodal Digital Trace Data Collection from Android Smartphones.medRxiv : the preprint server for health sciences · 2025Article
- Smartphone-based text obtained via passive sensing as it relates to direct suicide risk assessment.Psychological medicine · 2025Article
- Consumers acceptability of using screen capture methods to capture marketing strategies on online food delivery platforms: a qualitative study.Public health nutrition · 2025Article
- Person-Specific Analyses of Smartphone Use and Mental Health: Intensive Longitudinal Study.JMIR formative research · 2025Article
- From dusk to dawn: examining how adolescents engage with digital media using objective measures of screen time in a repeated measures study.The international journal of behavioral nutrition and physical activity · 2025Observational
- Examining Passively Collected Smartphone-Based Data in the Days Prior to Psychiatric Hospitalization for a Suicidal Crisis: Comparative Case Analysis.JMIR formative research · 2024Article
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
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.
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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.