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

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.本数据集隶属于人类明晰研究院（Human Clarity Institute）2025年AI-人类体验数据系列，旨在探究人工智能（AI）的使用如何影响人类的情感体验、个人身份认同与创造性原创性，具体涵盖情感转变、身份契合度与真实性感知，以及创造力、意义建构与认知深度的变化。 本数据集包含以下内容： • 经过验证的1-7级李克特量表（Likert-scale）条目 • 情感影响、身份认同的瓦解或强化、真实性、原创性、思维深度与个人意义的测量维度 • 认知契合度、内在冲突、自我评估以及依赖人工智能工具进行思维验证的相关指标 • 以标准分号分隔的蛇形命名法（snake_case）Token存储的多选变量（本数据集未包含此类变量） • 经过最低限度安全清洗的开放式文本反思内容（仅进行修剪与换行符移除处理） • 覆盖六个英语国家的人口统计学变量 • 人工智能工具使用频率与参与场景相关变量 本数据集于2025年11月19日通过Prolific平台，面向英国、美国、澳大利亚、加拿大、新西兰与爱尔兰的成年人群体完成收集。 所有数据均按照人类明晰研究院的机器可读数据集规范进行清洗、匿名化与处理，具体规范包括： • 采用标准蛇形命名法的变量命名规则 • 经过验证的数值范围设定 • 标准化的分类数据格式 • 最低限度的安全文本清洗流程 • 与配套数据字典完全对齐 • 移除Prolific平台用户ID与时间戳信息 • 为所有数据集文件生成SHA-256校验和 本数据集有助于理解人工智能与人类情感、身份认同、创造力及意义建构之间的互动关系，可为追踪人类自主性、心理健康状况，以及日常使用人工智能过程中不断演变的内在体验提供长期研究支持。