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Dataset . 2026
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Decision-Making and Digital Systems 2026 (Dataset, n= 358)

Authors: Institute, Human Clarity;

Decision-Making and Digital Systems 2026 (Dataset, n= 358)

Abstract

This dataset is part of the Human Clarity Institute’s Human–AI Experience 2026 data series. It examines how people experience decision-making, autonomy, confidence, and reliance when interacting with digital and AI-enabled systems in everyday life, including perceived clarity, cognitive effort, and shifts in personal capability.The dataset includes:• validated 1–7 Likert-scale items• measures of decision-making clarity, confidence, and overwhelm• indicators of reliance on digital and automated systems for thinking and decision support• measures of perceived autonomy, independence, and epistemic confidence• self-reported change over the past year in focus, control, and wellbeing• demographic variables across six English-speaking countriesData were collected on 4 February 2026 via Prolific from adults in Australia, the United States, the United Kingdom, Ireland, Canada, and New Zealand.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:• canonical snake_case variable naming• validated numeric ranges and response scales• standardised demographic and categorical encodings• full alignment with the accompanying data dictionary• removal of participant identifiers and timestamps• SHA-256 checksums for all filesThis dataset contributes to understanding how decision-making processes are shaped in digitally mediated environments, supporting longitudinal tracking of autonomy, cognitive reliance, and human agency as AI systems become increasingly embedded in everyday life.

Keywords

Decision Making, decision confidence, human-AI interaction, digital wellbeing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average