Focus and Distraction 2025 Dataset
A de-identified open dataset of 790 participants from the United Kingdom, United States, Canada, Australia, Ireland, and New Zealand.
Examines how notifications, multitasking, and online behaviours influence perceived focus, productivity, and energy.
Measures include notification frequency and interruption patterns, perceived ability to concentrate, task-switching behaviours, mental fatigue, productivity impacts, energy levels, strategies used to manage distraction, digital life exposure, attitudes toward technology use, and demographic variables across six English-speaking countries.
Part of the Human Clarity Institute’s AI–Human Experience Data Series.
Framework
HRL domain(s): Attention & Cognitive Load , Meaning & Behavioural Alignment
Registry Construct Alignment: Attention Capacity , Cognitive Load , Behavioural Alignment , Meaning Coherence
Listed constructs reflect strict variable-level registry mapping and do not represent the full thematic scope of this dataset.
DOI and Repository Links
Citation
APA
Human Clarity Institute (2025). Focus and Distraction Dataset. https://doi.org/10.5281/zenodo.17394086
BibTeX
@dataset{hci_ai_human_2025,
author = {Human Clarity Institute},
title = {Focus and Distraction 2025 Dataset},
year = {2025},
doi = {10.5281/zenodo.17394086},
url = {https://humanclarityinstitute.com/datasets/focus-distraction-2025/},
license = {CC-BY-4.0}
}
Licence
Creative Commons Attribution 4.0 International (CC BY 4.0)
You are free to share, adapt, and build upon this dataset for any purpose, even commercially, provided appropriate credit is given to the Human Clarity Institute.
Full licence text: https://creativecommons.org/licenses/by/4.0/
Used in HCI Research Reports
Findings from the Focus & Distraction 2025 dataset contributed to the following Human Clarity Institute reports:
Explore all HCI Research Reports.
Data use and reuse terms are outlined in our Data Use & Disclaimer.