Preprint / Version 1

The Effect of Question Formats in Dialogue with Generative AI: A Comparative Analysis of Open Questions and Prompt Engineering

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DOI:

https://doi.org/10.51094/jxiv.853

Keywords:

Generative AI, Question formats, Open-ended questions, Prompt engineering, Human-AI interaction

Abstract

As dialogue with generative AI enters a new phase, this study compares and analyzes the effects of question formats in AI interactions, specifically comparing open-ended questions with prompt engineering (structured questions). We conducted experiments using eight AI models in four areas: the future of education, improving communication within companies, family meal planning, and new movies, and analyzed them using 20 evaluation metrics.
The results showed that the question format had a multifaceted and complex effect on the AI response. Open questions showed an advantage in terms of creativity, diversity, and thought promotion, while prompt engineering formats were effective in terms of concreteness and naturalness of dialogue. In addition, the effectiveness of the question format was highly dependent on the theme and AI model used.
These findings suggest the importance of strategic selection of question formats in designing interactions with AI. Choosing the appropriate question format according to the purpose, theme, and AI model used can lead to more effective and creative interactions.
This research provides new guidelines for effective interaction with AI and emphasizes the importance of improving AI literacy.

Conflicts of Interest Disclosure

The author declares no competing interests.

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Author Biography

Keisuke Sato, Natural Science, National Institute of Technology, Ibaraki College

April 2015 - Present
Associate Professor, Ibaraki National College of Technology

April 2010 - March 2015
Lecturer, Ibaraki National College of Technology

April 2008 - March 2010
Specially Appointed Researcher, Institute for Solid State Physics, The University of Tokyo

April 2002 - March 2008
Researcher, Fujitsu Laboratories Ltd.

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Submitted: 2024-08-20 01:13:53 UTC

Published: 2024-08-22 08:22:01 UTC
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