Abstract
The aim of the study at hand is to configure and evaluate a GPT-3 chatbot which is resistant to faulty input prompts and sensitive to the emotional setting of a sales dialogue. Design Science Research Methodology by Peffers et al. [46] was applied and evaluated with qualitative interviews in two conditions, that is, short and long language input. Results show that the chatbot was overall able to mimic human-like sales conversations. Some deviant behavior could be observed, especially in the short input condition, revealing more verbiage and insistent questions for purchase by the chatbot.
Cite
CITATION STYLE
Premm, J., Peukert, H., Rossel, D., & Silber, M. (2023). Analysis of a GPT-3 Chatbot with Respect to its Input in a Sales Dialogue. In Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023 (pp. 637–647). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.15439/2023F3513
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