Human Experience Baseline (Dataset)
Dataset summary: A large-n, de-identified baseline dataset (n=1,514) capturing core dimensions of human experience in digital life — including agency, attention, wellbeing, values, trust, and human–system interaction — designed for longitudinal comparison across future measurement waves.
Measures include perceived agency and self-direction, attention and focus, digital wellbeing, values alignment, trust in systems and institutions, patterns of human–technology interaction, and demographic variables across six English-speaking countries.
This dataset establishes a stable reference point intended for reuse in future repeat waves, enabling within-subject and between-wave comparison using a fixed, standardised measurement framework.
Part of the Human Clarity Institute’s Human–AI Experience Data Series.
Framework
HRL domain(s): Agency & Decision Autonomy, Trust & Epistemic Stability, Attention & Cognitive Load, Values & Meaning
Registry construct alignment: Agency, Decision dependence, Epistemic confidence, Trust calibration, Attention capacity, Cognitive load, Meaning coherence, Risk perception
Listed constructs reflect longitudinal, registry-mapped item alignment and do not represent the full thematic scope of this dataset.
Dataset Availability
Participant-level dataset downloads are temporarily unavailable while the Human Clarity Institute completes an independent privacy and data governance review.
This reflects our ongoing commitment to responsible data stewardship, contemporary de-identification standards, and participant privacy.
Study methodology, summary findings, benchmark statistics, and citation information remain publicly available through this website and the permanent Zenodo record.
Researchers, universities, and organisations interested in accessing a dataset or discussing research collaboration are welcome to contact info@humanclarityinstitute.com.
Citation & Dataset Record
The Zenodo DOI provides the permanent scholarly record for this dataset, including version history, metadata, and citation information.
Dataset Access
This dataset forms part of the Human Clarity Institute’s research library.
The Human Clarity Institute maintains a curated collection of public and restricted behavioural research datasets. Public datasets may be accessed through the HCI research library. Some datasets are maintained as restricted research resources while supporting ongoing longitudinal research or governance review.
Researchers, universities, and organisations interested in accessing restricted datasets or discussing research collaboration are welcome to contact:
info@humanclarityinstitute.com
Citation
APA
Human Clarity Institute. (2026). Human Experience Baseline (Dataset). Human Clarity Institute. https://doi.org/10.5281/zenodo.18487698
BibTeX
@dataset{human_experience_baseline,
author = {Human Clarity Institute},
title = {Human Experience Baseline (Dataset)},
year = {2026},
doi = {10.5281/zenodo.18487698},
url = {https://humanclarityinstitute.com/datasets/human-experience-baseline/},
license = {CC-BY-4.0}
}
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
You are free to share, adapt, and build upon publicly available HCI datasets for any purpose, including commercial use, provided appropriate credit is given to the Human Clarity Institute.
Full license text: https://creativecommons.org/licenses/by/4.0/
Data Summary
Explore the key findings and behavioural signals from this dataset.
Methodology
This dataset forms part of the Human Clarity Institute’s Human–AI Experience research programme, establishing a baseline measurement of how adults experience key dimensions of life in digital environments. The study examines foundational signals including values clarity, perceived agency, attention capacity, decision clarity, trust in information, stress, digital fatigue, and interaction with digital or AI-powered tools. The dataset is designed to provide a stable reference point for future measurement waves, allowing HCI to track directional change and stability over time using the same constructs and response scales.
Data were collected via the Prolific research platform on 2026-02-04 from adults across Australia, the United Kingdom, the United States, Ireland, Canada, and New Zealand. Participants provided informed consent for their de-identified survey responses to be publicly released for research purposes.
Sampling & Participants
- Final sample: 1,514 participants
- Sampling countries: Australia, United Kingdom, United States, Ireland, Canada, New Zealand
- Eligibility: Adults (18+)
- Recruitment platform: Prolific
The resulting dataset should be interpreted as a non-probability convenience sample and is not intended to represent national populations.
Data Integrity
All percentages reported on this page are calculated from valid responses in the cleaned dataset. Percentages are rounded to the nearest whole number for readability. Unless otherwise stated, summary percentages combine respondents selecting 5–7 on the 7-point agreement scale.
Public release datasets undergo structured de-identification prior to publication. Direct identifiers, participant IDs, timestamps, geographic variables, and participant free-text responses are removed or transformed where appropriate to reduce re-identification risk while preserving research utility.
This dataset is exploratory and descriptive in nature. It does not support causal inference and results should be interpreted as observed patterns within the survey sample. As the Human Experience Baseline, this dataset is also intended to provide a stable reference point for future longitudinal comparison across repeated measurement waves.
Data use and reuse terms are outlined in our Data Use & Disclaimer.
Related Research
Explore further analysis on Human Clarity Insights, or browse the full collection of Human Clarity Institute research reports.