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User Experience for Non-Expert Audiences in Data Exploration

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Association for Computing Machinery

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Data Exploration remains an untapped area of research, and as of yet few guidelines exist for how to design a data exploration tool. In this paper we conduct a qualitative study of a data exploration tool that has been created using a series of principles for designing data exploration systems for non-expert audiences. In the course of this study, we both evaluate the tool, dubbed the Data Explorer, and refine the design principles that it was based on.

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Tylosky, Natasha; Knutas, Antti; Qureshi, Majad; Wolff, Annika (2023): User Experience for Non-Expert Audiences in Data Exploration. Proceedings of the 11th International Conference on Communities and Technologies. DOI: 10.1145/3593743.3593750. New York, NY, USA: Association for Computing Machinery. pp. 12–16. Lahti, Finland

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Interactive Data Visualization, Design Principles, Data Exploration, User Experience, Sensemaking

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