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

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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Publication Details

Journal
Biopreservation and Biobanking
Published
2026-04-06
DOI
https://doi.org/10.1177/19475535261433440
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Alexandra Matei, Fennie Van der Graaf, Giuseppe Marinelli
Biopreservation and Biobanking
AI in Service Interactions
article

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

Alexandra Matei, Fennie Van der Graaf, Giuseppe Marinelli
article en

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.

Biopreservation and Biobanking
Eindhoven University of Technology (NL)
Openalex Percentile: Top 29%
AI in Service Interactions
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