Comparison of the audiological knowledge of three chatbots – ChatGPT, Bing Chat, and Bard

Author:

Jedrzejczak W. WiktorORCID,Kochanek KrzysztofORCID

Abstract

AbstractObjectiveThe purpose of this study was to evaluate three chatbots – OpenAI ChatGPT, Microsoft Bing Chat, and Google Bard – in terms of their responses to a defined set of audiological questions.DesignEach chatbot was presented with the same 10 questions. The authors rated the responses on a Likert scale ranging from 1 to 5. Additional features, such as the number of inaccuracies or errors and the provision of references, were also examined.ResultsMost responses given by all three chatbots were rated as satisfactory or better. However all chatbots generated at least a few errors or inaccuracies. ChatGPT achieved the highest overall score, while Bard was the worst. Bard was also the only chatbot unable to provide a response to one of the questions. ChatGPT was the only chatbot that did not provide information about its sources.ConclusionsChatbots are an intriguing tool that can be used to access basic information in a specialized area like audiology. Nevertheless, one needs to be careful, as correct information is not infrequently mixed in with errors that are hard to pick up unless the user is well versed in the field.

Publisher

Cold Spring Harbor Laboratory

Reference30 articles.

1. A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence

2. Chatbots: History, technology, and applications

3. Large language models in education: A focus on the complementary relationship between human teachers and ChatGPT

4. ChatGPT: Challenges, Opportunities, and Implications for Teacher Education;Contemporary Issues in Technology and Teacher Education,2023

5. Vaswani, A. , Shazeer, N. , Parmar, N. , Uszkoreit, J. , Jones, L. , Gomez, A. N. , & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30.

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