Objectives: This study aims to classify the type of health information seeking behavior on the internet by using the cluster analysis and to compare health consciousness and smart-phone literacy according to the type of health information seeking behavior on the internet among one university students. Methods: The research design for this study was a descriptive survey design using a quata sample. Data collection was done using self-report questionnaires with 373 undergraduate students located in G city. Data were analyzed using χ2 test, ANOVA, scheffe test, Pearson correlation coefficients, factor analysis and cluster analysis with the SPSS WIN 22.0 Program. Results: Factor analysis showed 10 items in 3 factors. Cluster analysis revealed 3 distinct type of health information seeking behavior on the internet. Clusters were named ‘passive health information user type’, ‘community-based health information user type’, and ‘independent health information power-user type’. Clusters was founded and has differences in health information search, online community usage and productive health information activity. Conclusions: Findings of this study allow a comprehensive understanding of the health information seeking behavior on the internet and related factors among undergraduate in Korea. Further study with a larger random sample from various universities is necessary.