HCDec 22, 2020

Designing an Interactive Visualization System for Monitoring Participant Compliance in a Large-Scale, Longitudinal Study

arXiv:2012.12181v1
AI Analysis

This work addresses the problem of efficiently monitoring participant compliance in large-scale, longitudinal studies for researchers, which is an incremental improvement to existing processes.

The authors developed an interactive visualization system to monitor participant compliance in a large-scale, longitudinal study. The system facilitated exploratory monitoring tasks and supported asynchronous collaboration among non-co-located researchers, improving the efficiency and quality of data collection.

Frequent monitoring of participant compliance is necessary when conducting large-scale, longitudinal studies to ensure that the collected data is of sufficiently high quality. While the need for achieving high compliance has been underscored and there are discussions on incentives and factors affecting compliance, little is shared about the actual processes and tools used for monitoring compliance in such studies. Monitoring participant compliance with respect to multi-modal data can be a tedious process, especially if there are only a few personnel involved. In this case study, we describe the iterative design of an interactive visualization system we developed for monitoring compliance and refined based on changing requirements in an ongoing study. We find that the visualization system, leveraging the digital medium, both facilitates the exploratory tasks of monitoring participant compliance and supports asynchronous collaboration among non-co-located researchers. Our documented requirements for checking participant compliance as well as the design of the visualization system can help inform the compliance-monitoring process in future studies.

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