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Analysis of a GPT-3 chatbot with respect to its input in a sales dialogue

Premm Julian, Peukert Hagen, Rössel Dennis, Silber Mareike

Annals of Computer Science and Information Systems

2023

Vol. 35

637--647

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.