ArticleHuman-computer interaction2021
Article in Human-computer interaction, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of mobile phones and wireless devices use on children and adolescents' mental health: a systematic review.European child & adolescent psychiatry · 2024Pooled it
- Objective Smartphone Screen Time Monitoring Among Caregivers of Preschool-Aged Children: Reliability Study of Monitoring Duration.JMIR mHealth and uHealth · 2026Article
- Adolescents' daily affect predicts their mobile phone use (not the other way around).Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2026Article
- Problematic Social Media Use and Attention-Deficit/Hyperactivity Disorder Symptoms in Adolescents.JAMA network open · 2026Article
- Heterogeneous Associations Between Objectively Measured Screen Time and Sleep in Early Adolescence.Technology, mind, and behavior · 2026Article
- Identifying suicide-related language in smartphone keyboard entries among high-risk adolescents.NPJ digital medicine · 2026Article
- Surfacing Suicidal Risk Through Simulated Social Interaction: Per-Person Language Model Agents as Communicative Stress Tests.medRxiv : the preprint server for health sciences · 2026Article
- Making the impossible possible: Leveraging built-in features for non-intrusive and accurate Apple Screen Time tracking through ASTER.Behavior research methods · 2026Article
- Digital Phenotyping via Passive Network Traffic Monitoring: Prospective Observational Study in University Students.JMIR formative research · 2026Observational
- Cognitive modeling of real-world behavior for understanding mental health.Trends in cognitive sciences · 2026Review
- AI companions and adolescent social relationships: Benefits, risks, and bidirectional influences.Child development perspectives · 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 screen time and suicide risk in daily life captured through high-resolution screenshot data.NPJ digital medicine · 2025Article
- Smartphone-based text obtained via passive sensing as it relates to direct suicide risk assessment.Psychological medicine · 2025Article
- Person-Specific Analyses of Smartphone Use and Mental Health: Intensive Longitudinal Study.JMIR formative research · 2025Article
- Messenger-based assessment of empathic accuracy in couples' smartphone communication.BMC psychology · 2025Article
- Appnome analysis reveals small or no associations between social media app-specific usage and adolescent well-being.Scientific reports · 2024Article
- Examining Passively Collected Smartphone-Based Data in the Days Prior to Psychiatric Hospitalization for a Suicidal Crisis: Comparative Case Analysis.JMIR formative research · 2024Article
- Returning Individual Research Results from Digital Phenotyping in Psychiatry.The American journal of bioethics : AJOB · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
Digital experiences capture an increasingly large part of life, making them a preferred, if not required, method to describe and theorize about human behavior. Digital media also shape behavior by enabling people to switch between different content easily, and create unique threads of experiences that pass quickly through numerous information categories. Current methods of recording digital experiences provide only partial reconstructions of digital lives that weave - often within seconds - among multiple applications, locations, functions and media. We describe an end-to-end system for capturing and analyzing the "screenome" of life in media, i.e., the record of individual experiences represented as a sequence of screens that people view and interact with over time. The system includes software that collects screenshots, extracts text and images, and allows searching of a screenshot database. We discuss how the system can be used to elaborate current theories about psychological processing of technology, and suggest new theoretical questions that are enabled by multiple time scale analyses. Capabilities of the system are highlighted with eight research examples that analyze screens from adults who have generated data within the system. We end with a discussion of future uses, limitations, theory and privacy.
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What OpenQuestion holds
Registered trials
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.