Abstract

Data is ubiquitous in today’s digitized society. However, access to and literacy in handling data plays a pivotal role in determining who can benefit from it and who can use—or potentially misuse—it. To combat inequalities and address issues such as misinformation, it is essential to enable citizens to effectively access and understand data within their local ecosystems. To address this challenge, we focus on the case of citizen science and propose using a conversational agent to support data exploration and lower barriers to citizen engagement in research projects. Using a design science research approach, we derive design principles and develop a prototypical artifact. Moreover, we conduct an experimental evaluation, demonstrating strong interest among citizens to participate in scientific data analysis and that conversational agents hold great potential in increasing data literacy.

中文翻译：

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设计一个对话代理来支持公民科学中的数据探索

摘要

在当今的数字化社会中，数据无处不在。然而，访问数据和处理数据的能力在确定谁可以从中受益以及谁可以使用（或可能滥用）数据方面发挥着关键作用。为了消除不平等并解决错误信息等问题，必须使公民能够有效访问和理解当地生态系统内的数据。为了应对这一挑战，我们重点关注公民科学的案例，并建议使用对话代理来支持数据探索并降低公民参与研究项目的障碍。使用设计科学研究方法，我们得出设计原则并开发原型工件。此外，我们进行了一项实验评估，表明公民对参与科学数据分析的强烈兴趣，并且会话代理在提高数据素养方面具有巨大潜力。