Emotion, Identity & Creativity in the Age of AI (Dataset, n = 507)

Dataset availability: Participant-level dataset files are temporarily unavailable while Human Clarity Institute completes an independent privacy and data governance review. Metadata, methodology and citation information remain available. Researchers interested in access may contact [e-mail]. Version v3.1 – Documentation & Governance Update This release includes a series of documentation, governance and public dataset standardisation improvements supporting the ongoing maintenance of the Human Clarity Institute's open research library. Changes in this release include: Strengthened public dataset de-identification procedures Updated README documentation and public release guidance Updated data dictionary reflecting the current public variable structure Standardised demographic disclosure controls where appropriate Removal of geographic and participant free-text variables from the public release New SHA-256 checksums for all released files These updates improve the consistency, documentation and governance of the public dataset while preserving its research value and maintaining compatibility with the broader HCI dataset library. This version also includes: Canonical snake_case file naming Upgraded README aligned with HCI documentation standards Human Reference Layer (HRL) and Construct Registry alignment Standardised data dictionary structure This dataset is part of the Human Clarity Institute’s AI–Human Experience 2025 data series. It examines how AI use shapes emotional experience, personal identity, and creative originality, including emotional shifts, identity alignment and authenticity, and changes in creativity, meaning-making, and cognitive depth. The dataset includes:• validated 1–7 Likert-scale items• measures of emotional influence, identity disruption or reinforcement, authenticity, originality, depth of thinking, and personal meaning• indicators of cognitive alignment, internal conflict, self-evaluation, and reliance on AI tools for thought validation• multi-select variables stored as canonical semicolon-delimited snake_case tokens (none included in this dataset)• open-text reflections with minimal safe cleaning (trim + newline removal only)• demographic variables across six English-speaking countries• AI-tool usage frequency and participation context variables Data were collected on 19 November 2025 via Prolific from adults in the UK, US, Australia, Canada, New Zealand, and Ireland.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• standardised categorical formats• minimal safe text cleaning• full alignment with the accompanying data dictionary• removal of Prolific IDs and timestamps• SHA-256 checksums for all files This dataset contributes to understanding how AI interacts with human emotions, identity, creativity, and meaning-making, supporting longitudinal tracking of human autonomy, psychological wellbeing, and the evolving inner experience of AI use as part of daily life.