研究主题：鸟瞰式阅读——以全局视角跨领域阅读论文以提升批判性思维与创造力
研究简介 本项目旨在提升研究人员及研究生的批判性思维与学术阅读能力。当前的AI工具通常仅提供局限于单一研究分支的局部信息，导致用户难以获取来自其他学科的“平行”见解。本项目引入了“鸟瞰式学习（Bird’s-eye View Learning）”框架以提供全局视角，帮助研究人员发现现有文献的局限性，并通过综合跨学科的见解来得出创新的解决方案。
研究流程 您受邀参加一项为期约 60至90分钟 的用户研究（系统评估）。研究包含以下三个环节：
主要任务： 您将被要求使用我们的原型系统，阅读您所在领域的一篇经典或复杂的研究论文。您将使用系统的“鸟瞰图”功能来探索相关的和平行的文献。
反馈阶段： 您将参加一个半结构化访谈，分享该系统如何影响您的批判性思维过程，以及是否帮助您发现了研究空白（Research Gaps）。
问卷阶段： 您将完成一份简短的问卷，主要关于您的学术阅读使用体验
风险与不适 我们预计参与本研究不会给您带来“超出最低限度（greater than minimum risks）”的风险。您可能会经历学术阅读中常见的轻度脑力疲劳。在实验过程中，我们鼓励您随时根据需要进行休息。
研究获益 本项目将为您提供一种新颖的工具，有望提高您的文献回顾效率和批判性阅读深度。在更广泛的意义上，您的参与将有助于开发旨在打破学术界“信息茧房”的AI辅助研究工具，从而进一步促进学术创新。
研究报酬 每位完成完整研究流程的参与者将获得 60港币（或等值的礼品卡，例如亚马逊礼品卡）的报酬。如果您选择在中途退出研究，我们将根据您参与的时长按比例提供报酬。该报酬是对您付出时间的感谢，并非财务诱惑。
自愿参与与退出 您参与本研究完全自愿。您可以拒绝参与、随时要求退出，或拒绝回答任何特定问题，上述决定均不会为您带来任何负面后果。您决定参与与否也不会影响您的学术地位或与您的导师及所属大学的关系。
数据收集与隐私保护
数据收集： 我们将收集您的问卷回复、系统交互日志（例如，您如何浏览文献图谱）以及访谈的录音。
匿名处理： 所有收集到的数据都将进行脱敏（De-identified）处理。您的姓名将被替换为参与者编号（例如 P01）。
数据存储： 数据将存储在加密的大学服务器上，仅本研究团队的成员有权访问。
数据保留： 脱敏后的数据将在相关研究论文发表后保留最多3年。任何发表的研究报告或论文中都不会包含可识别您个人身份的信息。
知情同意声明
通过点击下方的“是”进入下一页，即表示我已经阅读并充分理解本同意书中所述的内容，并且我自愿同意参与本研究。
Research Title: Bird’s-eye Reading: Cross-domain Paper Reading from a Global Perspective to Enhance Critical Thinking and Creativity
This project aims to enhance the critical thinking and academic reading capabilities of researchers and graduate students. Current AI tools often provide localized information restricted to a single research branch, making it difficult for users to access "parallel" insights from other disciplines. This project introduces the "Bird’s-eye View Learning" framework to provide a global perspective, helping researchers identify limitations in existing literature and derive innovative solutions by synthesizing cross-disciplinary insights.
You are invited to participate in a user study (system evaluation) lasting approximately 60 to 90 minutes. The study consists of the following three stages:
Main Task: You will be asked to use our prototype system to read a classic or complex research paper in your field. You will utilize the system’s "Bird’s-eye View" feature to explore related and parallel literature.
Feedback Phase: You will participate in a semi-structured interview to share how the system influenced your critical thinking process and whether it helped you identify research gaps.
Questionnaire Phase: You will complete a brief questionnaire regarding your user experience with academic reading.
We do not anticipate that participation in this study will involve risks "greater than minimal risks." You may experience mild mental fatigue common in academic reading. You are encouraged to take breaks as needed at any time during the experiment.
This project provides you with a novel tool that has the potential to improve the efficiency of your literature reviews and the depth of your critical reading. In a broader sense, your participation will contribute to the development of AI-assisted research tools designed to break "information cocoons" in academia, thereby further fostering academic innovation.
Each participant who completes the full research procedure will receive a compensation of 60 HKD (or an equivalent gift card, such as an Amazon gift card). If you choose to withdraw from the study midway, compensation will be provided pro-rata based on the duration of your participation. This compensation is a token of appreciation for your time and is not a financial inducement.
Your participation in this research is entirely voluntary. You may refuse to participate, request to withdraw at any time, or refuse to answer any specific questions without any negative consequences. Your decision to participate or not will not affect your academic standing or your relationship with your supervisor or university.
Data Collection: We will collect your questionnaire responses, system interaction logs (e.g., how you navigate the literature map), and audio recordings of the interview.
Anonymization: All collected data will be de-identified. Your name will be replaced by a participant ID (e.g., P01).
Data Storage: Data will be stored on encrypted university servers, accessible only to members of the research team.
Data Retention: De-identified data will be retained for a maximum of 3 years after the publication of the relevant research papers. No identifiable personal information will be included in any published research reports or papers.
By clicking "Yes" below to proceed to the next page, I indicate that I have read and fully understood the contents described in this consent form, and I voluntarily agree to participate in this research.