Abstract
This paper delineates the preliminary outcomes of the “IQ Journalism” project, which endeavors to develop an intelligent agent tailored for journalistic articles. By harnessing the capabilities of Artificial Intelligence methodologies, the proposed advisor is designed to provide journalists and editors with real-time suggestions to enhance audience engagement and improve the quality of the written text. As the advisor's content and functionality have been previously determined through the model, the interface's graphical design remained the principal factor in optimizing its usability. Recognizing that the AI advisor's service ought to be specifically tailored to the requirements of the journalists using it, a user-centered design was adopted, and an Iterative Design approach was employed. Firstly, we reviewed existing systems of online text editors and AI assistants, which led to the creation of visual prototypes. Secondly, the prototypes were presented to a group of 10 professional journalists and MSc students in a focus group, where the participants discussed their preferences regarding the prototypes and what adjustments they would like. In total four design phases were conducted, resulting in the creation of a functional prototype with an improved user experience.
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Acknowledgments
This research has been co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE (project code: T2EDK-04616).
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Sotirakou, C., Paraskevas, T., Konstanta, I., Mourlas, C. (2023). Designing an AI-Powered Journalism Advisor: A User-Centered Approach. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1836. Springer, Cham. https://doi.org/10.1007/978-3-031-36004-6_70
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DOI: https://doi.org/10.1007/978-3-031-36004-6_70
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