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

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.

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1. Thematic Tracks Regular Papers

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2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).