By Big-Thick data, we mean large-scale sensor data (big data) which provides an objective view of reality, coupled with thick data, i.e., data generated by people, which describes their subjective view of the reality described by big data. Big-thick data enables a machine understanding of human behavior and activities, as well as the human interpretation of what they are doing, i.e., their own personal descriptions of the why, what, and how. The goal of this short paper is to provide a high-level description of a platform, called i-Log, that enables the collection of big-thick data. Its core components are: tools for collecting sensor data as well as the user feedback (e.g., user answers to machine questions), and a dashboard which provides visual qualitative and quantitative feedback on how things are evolving, as well as suitable notifications to the user.

翻译：所谓大厚数据，是指将大规模传感器数据（大数据）——提供对现实的客观视角，与厚数据——即由人产生的、描述大数据所呈现现实的主观视角的数据——相结合。大厚数据使机器能够理解人类行为与活动，同时获取人类对其自身行为的诠释，即个人对行为缘由、内容及方式的描述。本文旨在概要介绍一个名为i-Log的平台，该平台支持大厚数据的收集。其核心组件包括：传感器数据采集工具与用户反馈收集工具（例如用户对机器提问的回答），以及一个仪表板，该仪表板可提供关于数据演变过程的可视化定性与定量反馈，并向用户发送适时的通知。