Values Conflict & Behavioural Drift 2026 (Dataset)
Dataset summary: A de-identified open dataset (n=349) examining how digitally active adults experience tension between their stated personal values and their behaviours when interacting with digital and AI-mediated systems.
Measures include validated 1–7 Likert-scale instruments assessing perceived values–behaviour misalignment, behavioural persistence, resistance versus resignation, normalisation of behavioural drift over time, AI decision intervention thresholds, digital exposure metrics, and demographic variables. The dataset provides behavioural insights into how digital and AI systems may influence values alignment and behavioural consistency.
Part of the Human Clarity Institute's Human–AI Experience Data Series.
Framework
HRL domain(s): Agency & Decision Autonomy, Trust & Epistemic Stability
Registry construct alignment: Agency, Decision Dependence, Trust Calibration
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.
Citation
APA
Human Clarity Institute. (2026). Values Conflict & Behavioural Drift 2026 (Dataset). Human Clarity Institute. https://doi.org/10.5281/zenodo.18626195
BibTeX
@dataset{hci_values_behaviour_drift_2026,
author = {Human Clarity Institute},
title = {Values Conflict & Behavioural Drift 2026 (Dataset)},
year = {2026},
doi = {10.5281/zenodo.18626195},
url = {https://humanclarityinstitute.com/datasets/values-conflict-behavioural-drift-2026/},
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 licence 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, examining how adults experience values–behaviour misalignment, behavioural drift, and resistance to acting against what they believe matters within increasingly digital and AI-mediated environments. The study uses a cross-sectional online survey design to explore descriptive patterns in values conflict, behavioural persistence, behavioural drift, and the influence of digital systems on personal decision-making.
Data were collected via the Prolific research platform on 10 February 2026 from adults across six English-speaking countries. Participants provided informed consent for their de-identified survey responses to be publicly released for research purposes.
Sampling & Participants
- Final sample: 349 participants
- Sampling countries: Australia, United States, United Kingdom, Ireland, Canada, and 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.
Data use and reuse terms are outlined in our Data Use & Disclaimer.
