Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/315791 
Year of Publication: 
2024
Citation: 
[Journal:] Electronic Markets [ISSN:] 1422-8890 [Volume:] 34 [Issue:] 1 [Article No.:] 23 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2024
Publisher: 
Springer, Berlin, Heidelberg
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.
Subjects: 
Conversational agents
Citizen science
Design science research
JEL: 
O35
O36
I24
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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