A Case Study: Testing of an Artificial Intelligence Chatbot Designed for Guiding and Assisting Participants at a Biobank Research Site

Abstract

This study investigated if improving a chatbot using user test feedback can enhance the perceived value of a chatbot for a specific biobanking use case. The chatbot was designed to guide participants in a research study around a biobank site to facilitate their data collection experience by conversing with them about what to do and where to go and answering any questions about the measurements, the research, or the biobank. A total of 32 test participants tested the chatbot and provided feedback about their experience, and the answers were analyzed to evaluate perceived value. The first group of users tested the initial version of the chatbot, and the second group tested the improved version of the chatbot. The results demonstrated that by including user feedback to design the chatbot, the perceived value in the second testing increased. Following these early-stage study results, it was determined that the chatbot was ready for deployment in the biobank.

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