Abstract
This workshop paper presents a critical examination of the integration of Generative AI (Gen AI) into the academic writing process, focusing on the use of AI as a collaborative tool. It contrasts the performance and interaction of two AI models, Gemini and ChatGPT, through a collaborative inquiry approach where researchers engage in facilitated sessions to design prompts that elicit specific AI responses for crafting research outlines. This case study highlights the importance of prompt design, output analysis, and recognizing the AI's limitations to ensure responsible and effective AI integration in scholarly work. Preliminary findings suggest that prompt variation significantly affects output quality and reveals distinct capabilities and constraints of each model. The paper contributes to the field of Human-Computer Interaction by exploring effective prompt strategies and providing a comparative analysis of Gen AI models, ultimately aiming to enhance AI-assisted academic writing and prompt a deeper dialogue within the HCI community.
Abstract (translated)
这份工作论文对将生成式人工智能（Gen AI）融入学术写作过程的整合进行了批判性探讨，重点关注了使用AI作为合作工具。通过采用合作研究方法，研究人员参与设计提示，以诱使特定AI响应生成研究大纲。这个案例研究突出了提示设计、输出分析和认识到AI的局限对于确保责任且有效的AI融入学术研究的重要性。初步研究结果表明，提示变化显著影响了输出质量，揭示了每个模型的独特能力和限制。本文为人工智能领域的人类与计算机交互研究做出了贡献，探讨了有效的提示策略，并提供了对Gen AI模型的比较分析，最终旨在增强AI辅助学术写作，并引导HCI社区内的更深刻的对话。
URL
https://arxiv.org/abs/2404.16071
