增强作者：探索学术写作中AI协作的潜力
Augmenting the Author: Exploring the Potential of AI Collaboration in Academic Writing
AI总结：
本文批判性审视生成式AI在学术写作中的协作应用，通过对比Gemini和ChatGPT在提示词设计下的表现，揭示其能力与局限，为人机交互领域提供有效提示策略与模型比较分析。
摘要：
本研讨会论文对将生成式人工智能（Gen AI）融入学术写作过程进行了批判性审视，重点关注将AI作为协作工具的使用。本文通过协作探究方法，对比了Gemini和ChatGPT两个AI模型的性能与交互；在该方法中，研究人员参与引导式会议，设计提示词以引导AI生成特定响应，从而构建研究大纲。本案例研究强调了提示词设计、输出分析以及认识AI局限性对于确保学术工作中负责任且有效的AI整合的重要性。初步发现表明，提示词的变化显著影响输出质量，并揭示了每个模型独特的能力与限制。本文通过探索有效的提示词策略和对Gen AI模型进行比较分析，为人机交互领域做出贡献，最终旨在增强AI辅助的学术写作，并促进HCI社区内更深入的对话。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
