ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks
This tool addresses the need for efficient and interpretable adaptive testing in domains like mental health diagnosis, but it appears incremental as it builds on existing Bayesian network methods.
The authors tackled the problem of creating adaptive questionnaires by introducing ADAPQUEST, a Java-based software tool that uses Bayesian networks to dynamically sequence questions based on a test taker's evolving skill model, with an application discussed for diagnosing mental disorders.
We introduce ADAPQUEST, a software tool written in Java for the development of adaptive questionnaires based on Bayesian networks. Adaptiveness is intended here as the dynamical choice of the question sequence on the basis of an evolving model of the skill level of the test taker. Bayesian networks offer a flexible and highly interpretable framework to describe such testing process, especially when coping with multiple skills. ADAPQUEST embeds dedicated elicitation strategies to simplify the elicitation of the questionnaire parameters. An application of this tool for the diagnosis of mental disorders is also discussed together with some implementation details.