Personalized Ubiquitous Data Collection and Intervention as Interactive Multimedia Documents

Abstract

The Experience Sampling Method (ESM) has been proposed as a method for collecting data about people's experiences in their everyday and natural environments. ESM-based systems offer limited authoring for interactive documents designed to collect text-based responses offered as answers to text-based questions, and integrated with the non-intrusive data collection from sensors. From a document engineering perspective, ESM brings new requirements with respect to the authoring of non-trivial interaction and navigation workflow, in particular when multiple media and collaborative tasks are concerned. Tackling existing challenges, we modeled the Experience Sampling and Programmed Intervention Method (ESPIM) by combining ESM, individualized teaching procedures and ubiquitous computing toward producing interactive personalized multimedia documents applied in data collection.