遇见数据集

Digital Life 2025 (Dataset, n = 1,003)

收藏
Zenodo2025-12-14 更新2026-05-26 收录
官方服务:

资源简介:

This dataset is part of the Human Clarity Institute’s AI–Human Experience 2025 data series. It examines how people experience digital life in AI-saturated environments, including attention, trust, values alignment, digital fatigue, and perceived wellbeing across everyday online contexts. The dataset includes:• measures of trust in online information environments, values alignment, and perceived clarity• behavioural indicators of screen time, digital fatigue, confidence, and post-use energy• multi-select variables stored as canonical semicolon-delimited snake_case tokens• open-text reflections with minimal safe cleaning (trim + newline removal only)• demographic variables across six English-speaking countries Data were collected in September 2025 via Prolific from adults in the United Kingdom, United States, 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 multi-select 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 humans navigate attention, trust, and values in increasingly AI-mediated digital environments, supporting longitudinal tracking of behavioural change and the evolving cognitive relationship between humans and AI in everyday life.

本数据集隶属于人类清晰研究院(Human Clarity Institute)2025年AI-人类体验数据系列。该数据集聚焦于人类在AI深度渗透环境中的数字生活体验,涵盖日常在线场景下的注意力、信任度、价值观契合度、数字倦怠以及感知福祉等维度。 该数据集包含以下内容: • 在线信息环境信任度、价值观契合度与感知清晰度相关测量指标 • 屏幕使用时长、数字倦怠、自信心及使用后精力状态等行为指标 • 以标准分号分隔的蛇形命名法(snake_case)Token格式存储的多选变量 • 仅经过最低限度安全清洗(仅执行文本修剪与换行符移除操作)的开放式反思文本 • 覆盖6个英语国家的人口统计学变量 本数据集于2025年9月通过Prolific平台,面向英国、美国、澳大利亚、加拿大、新西兰及爱尔兰的成年人群采集完成。所有数据均按照人类清晰研究院制定的机器可读数据集规范完成清洗、匿名化与处理工作,该规范具体包含以下内容: • 采用标准蛇形命名法(snake_case)命名变量 • 设置经过验证的数值范围 • 采用标准化多选格式 • 仅执行最低限度安全文本清洗 • 完全匹配配套数据字典 • 移除Prolific账号ID与时间戳 • 为所有文件生成SHA-256校验和 本数据集有助于解析人类如何在日益被AI介导的数字环境中应对注意力、信任与价值观相关问题,可为日常场景下人类与AI间不断演化的认知关系及行为变化的纵向追踪提供学术支撑。

提供机构:
Zenodo
创建时间:
2025-12-14
二维码
社区交流群
二维码
科研交流群
商业服务