ArticleBehavior research methods2020
Longform recordings of everyday life: Ethics for best practices.
Article in Behavior research methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses 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
34 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- From data to discovery: Technology propels speech-language research and theory-building in developmental science.Neuroscience and biobehavioral reviews · 2025Pooled it
- The use of Language ENvironment Analysis in autism research: A systematic review.Autism : the international journal of research and practice · 2025Pooled it
- Crying in the first 12 months of life: A systematic review and meta-analysis of cross-country parent-reported data and modeling of the "cry curve".Child development · 2022Pooled it
- Performance and Biases of the LENA and ACLEW Algorithms in Analyzing Language Environments in Down, Fragile X, Angelman Syndromes, and Populations at Elevated Likelihood for Autism.Developmental science · 2026Article
- Brief speech samples reveal emotional states in daily life.PNAS nexus · 2026Article
- A Moderated Mediation Model Linking Speech-in-Noise Exposure, Speech Perception in Noise Ability, Loneliness, and Depression.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Thinking Critically About Algorithms for Automated Detection of Behavior: 11 Guidelines for Social and Behavioral Scientists.Developmental science · 2026Article
- Everyday maternal sensitivity to distress is dynamic and systematically varies across contexts.Child development · 2026Article
- Using voice and speech data in healthcare: a scoping review of the ethical, legal and social implications.Frontiers in digital health · 2026Review
- Automated Analysis of Naturalistic Recordings in Early Childhood: Applications, Challenges, and Opportunities.IEEE signal processing magazine · 2025Article
- The Impact of Research Results Feedback on the Lived Experiences of Elderly Participants in the DIMAMO Health Demographic Site: A Case of AWI-Gen Participants.International journal of environmental research and public health · 2025Article
- A pipeline for stochastic and controlled generation of realistic language input for simulating infant language acquisition.Behavior research methods · 2025Article
- The Use of Automated Digital Data in Speech, Language, and Hearing Research: Confronting a New Ethical Landscape.Journal of speech, language, and hearing research : JSLHR · 2025Article
- Environmental contributions to cognitive development: The role of cognitive stimulation.Developmental review : DR · 2024Article
- Consistency and variability in multimodal parent-child social interaction: An at-home study using head-mounted eye trackers.Developmental psychology · 2024Article
- The Effect of LENA (Language ENvironment Analysis) for Children with Hearing Loss in Denmark including a Pilot Validation for the Danish Language.Journal of clinical medicine · 2024Article
- Automatic assessment of infant carrying and holding using at-home wearable recordings.Scientific reports · 2024Article
- Evaluating Users' Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach.JMIR human factors · 2024Article
- Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations.Sensors (Basel, Switzerland) · 2024Article
- Child-level factors associated with Spanish-English bilingual toddlers' productive vocabulary growth.Developmental psychology · 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
10 authors.
Funding
Abstract
Recent advances in large-scale data storage and processing offer unprecedented opportunities for behavioral scientists to collect and analyze naturalistic data, including from underrepresented groups. Audio data, particularly real-world audio recordings, are of particular interest to behavioral scientists because they provide high-fidelity access to subtle aspects of daily life and social interactions. However, these methodological advances pose novel risks to research participants and communities. In this article, we outline the benefits and challenges associated with collecting, analyzing, and sharing multi-hour audio recording data. Guided by the principles of autonomy, privacy, beneficence, and justice, we propose a set of ethical guidelines for the use of longform audio recordings in behavioral research. This article is also accompanied by an Open Science Framework Ethics Repository that includes informed consent resources such as frequent participant concerns and sample consent forms.
Indexed as
Identifiers
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.