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Visual narrative for data journalism based on user experience

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Abstract

As data journalism continues to rise, narrative visualization has emerged as an essential method for conveying information. To improve the user experience of narrative visualization projects for data journalism, this study introduces an innovative approach for narrative visualization design centered on user experience. Firstly, through an in-depth analysis of existing research, we constructed a comprehensive user-experience-based narrative visualization model, considering the designers’ design process and the multiple levels of the user experience process. Then, through case analysis and user interviews, we identified the key elements that influence the user experience. Through the analysis of multiple cases, this study presents a practical narrative visualization design methodology comprising eight dimensions, aimed at enhancing user experience. The primary contribution of this research lies in the proposal of a practical narrative visualization model and the clear definition of key design elements, providing a comprehensive reference framework for designers and researchers to effectively optimize the user experience of narrative visualization. Moreover, our research findings unveil the inherent correlation between user experience and design elements, offering valuable insights for future research and practical applications.

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Acknowledgements

This work was supported in part by the NSFC 62002267, 62372327, 62072338, NSF Shanghai 23ZR1464700, Shanghai Education Development Foundation “Chen-Guang Project” (21CGA75), and China Postdoctoral Science Foundation (2023M732674). We would like to thank anonymous reviewers for their constructive feedback.

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Correspondence to Qing Chen.

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Cao, S., Chen, Q. & Cao, N. Visual narrative for data journalism based on user experience. J Vis (2024). https://doi.org/10.1007/s12650-024-01005-w

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