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Categorizing Open Government Data Users by Exploring their Challenges and Proficiency
2022
CHI Conference on Human Factors in Computing Systems Extended Abstracts
Developing user personas has been a crucial aspect of humancentered system design for decades as it helps in understanding and segregating users based on their prominent characteristics. However, such a technique has not been applied in developing and improving systems for supporting open government data (OGD) users. Therefore, this paper explores OGD users' characteristics and creates relevant personas for them. Open coding-based content analysis and k-means clustering were performed on posts
doi:10.1145/3491101.3519689
fatcat:yy333e45lrhphj74onil4raq6e