Affiliation:
1. University of Bamberg, Bamberg, Germany
Abstract
The Experience Sampling Method (ESM) is a popular research method found in many fields to gather rich insights into participants' thoughts, emotions, and daily routines near the moment they happen. During the last decade, many technologically advanced ESM tools emerged that combine manually entered self-reports with automatically collected data from device sensors. In fact, it became difficult to keep track of them. We compiled a survey of ESM and its tools addressing technological capabilities for developers, study design opportunities for study administrators, and answering usability for study participants. It comprises data from 30 systems, applications, and toolkits, which are used for ESM studies. We present our results on the current state of the art from these main user perspectives, list general shortcomings, and give recommendations for future ESM tools.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)
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