Visualizing group user behaviors for social network interaction design iteration

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Abstract

Considering the popularity of UCD methods in recent years, it’s no surprise that User behavior data analysis has become an important tool in design process. Behavior tools based on data mining technology, such as Flurry and Google Analytics, is widely used in web-based applications to support quantitative user research. However, information visualization provided by those tools is usually adapted to business other than design needs, which could be hardly used by designers. In this paper, successful experience from CRM system is analyzed, relations between user behavior and pattern is studied according to design factors. A prototype visualizing user data gathered from a social photo app is developed to integrate user behavior visualization into interaction design iteration process. User experiments are conducted to evaluate the prototype system. Results shown, interactive visualization on real-time user data could help to promote design iteration.

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Gu, Z., Yu, J. M., Wu, Z., & Dong, Z. X. (2015). Visualizing group user behaviors for social network interaction design iteration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9188, pp. 36–45). Springer Verlag. https://doi.org/10.1007/978-3-319-20889-3_4

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