2021
[77] Jeon, Y., Jin, S, Shih, P. C., & Han, K. (2021). FashionQ: An AI-Driven Creativity Support Tool for Facilitating Ideation in Fashion Design. International Conference on Human Factors in Computing System (CHI), ACM.(acceptance rate: 26.3%) [BK21 Conference] [Video]
[76] Jeon, Y., Jin, S., & Han, K. (2021). FANCY: Human-centered, Deep Learning-based Framework for Fashion Style Analysis. International Conference on World Wide Web (WWW). (acceptance rate: 20.6%) [BK21 Conference] [Video]
[75] Paik, S., Jeon, Y., Shih, P. C., & Han, K. (2021). I Feel More Engaged When I Move!: Deep Learning-based Backward Movement Detection and its Application. The International IEEE Conference on Virtual Reality and 3D User Interfaces (VR), IEEE. (acceptance rate: 23.6%) [BK21 Conference] [Video]
[74] 고예나, 김우정, 한경식, 홍화정. (2021). 팩트체크 뉴스에 대한 이용자 반응 분석: 언어적 특성, 인지/정서적 반응 및 논쟁 댓글의 출현 양상을 중심으로. 언론정보연구, 58(1).
2020
[73] Paik, S. & Han, K. (2020). Poster: I Need to Step Back from It! Modeling Backward Movement from Multimodal Sensors in Virtual Reality. SIGGRAPH ASIA.
[72] Kim, B., Lee, D., Min, A., Paik, S., Frey, G.C., Bellini, S., Han, K., & Shih, P.C. (2020). PuzzleWalk: A Theory-Driven Iterative Design Inquiry of a Mobile Game for Promoting Physical Activity in Adults with Autism Spectrum Disorder. PloS one. [SCI(E)]
[71] Lee, D., Frey, G.C., Min, A., Kim, B., Cothran, D., Bellini, S., Han, K., Shih, P.C. (2020). Usability Assessment of a Mobile Health Intervention for Increasing Physical Activity in Adults with Autism Spectrum Disorder. Health Informatics Journal. [SCI(E)]
[70] Kwon, H., Han, J., & Han, K. (2020). ART (Attractive Recommendation Tailor): How the Diversity of Product Recommendations Affects Customer Purchase Preference in Fashion Industry? International Conference on Information and Knowledge Management (CIKM), ACM. (acceptance rate: 26%) [BK21 Conference]
[69] Song, J., Park, H., Han, K., & Kim, S.W. (2020). Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS. International Conference on Information and Knowledge Management (CIKM), ACM. (acceptance rate: 26%) [BK21 Conference]
[68] 전승곤, 백승원, 양웅연, 한경식. (2020). 가상 소방 훈련에서 컨트롤러 양식에 따른 사용자 요인 조사. 한국차세대컴퓨팅학회 논문지, 16(5), 91-105.
[67] Goh, H., Kim, W., Han, J., Han, K., & Noh Y. (2020). Smombie Forecaster: Alerting Smartphone Users of Potential Hazards in their Surroundings, IEEE Access. [SCI(E)]
[66] Kim, W., Rhim, S., Choi, Y., & Han, K. (2020). Modeling Learners’ Programming Skills and Question Levels Through Machine Learning, HCI International.
[65] Lee, Y., Seo, N., Han, K., & Kim, S.W. (2020). ASiNE: Adversarial Signed Network Embedding. International Conference on Research and Development in Information Retrieval (SIGIR), ACM. (acceptance rate: 24%) [BK21 Conference]
[64] Kim, J., Gong, T., Han, K., Kim, J., Ko, J., & Lee, S. (2020). Messaging Beyond Texts with Real-time Image Suggestions. International Conference on Human-Computer Interaction on Mobile Devices and Services (MobileHCI). ACM.
[63] Jeon, Y., Jeon, S. & Han, K. (2020). Better Targeting of Consumers: Modeling Multifactorial Gender and Biological Sex from Instagram Posts. Journal of User Modeling and User-Adapted Interaction. [SCI(E)]
[62] Lee, D., Shih, P.C., Kim, B., Han, K., Min, A., Cothran, D.J., Bellini, S., and Frey, G.C. (2020). Objectively Measured Physical Activity and Sedentary Time in Adults with Autism Spectrum Disorder. Medicine and Science in Sports and Exercise. [SCI(E)]
[61] Rhim, S., Lee, U., & Han, K. (2020). Tracking and Modeling Subjective Well-Being Using Smartphone-Based Digital Phenotype. International Conference on User Modeling, Adaptation, and Personalization (UMAP), ACM. (acceptance rate: 23%)
[60] Lee, D., Cothran, D.J., Bellini, S., Shih, P.C., Han, K., Kim, B., Min, A., Paik, S., and Frey, G.C. (2020). Ecological Momentary Assessment of Physical Activity, Sedentary Time and Anxiety in Adults with Autism Spectrum Disorder. INSAR 2020.
[59] Jeon, Y., Jin, S., Kim, B., & Han, K. (2020). FashionQ: An Interactive Tool for Analyzing Fashion Style Trend with Quantitative Criteria. International Conference on Human Factors in Computing System (CHI), Late Breaking Work, ACM. (acceptance rate: 41%) [BK21 Conference]
[58] Lee, K., Cho, H., Toshnazarov, K., Narziev N., Rhim, S., Han, K., Noh, Y., & Hong, H. (2020). Toward Future-Centric Personal Informatics: Expecting Stressful Events and Preparing Personalized Interventions in Stress Management. International Conference on Human Factors in Computing System (CHI), ACM. (acceptance rate: 24%) [BK21 Conference]
[57] Song, J., Han, K., Lee, D., & Kim, S.W. (2020). Understanding Emotions in SNS Images From Posters' Perspectives. ACM/SIGAPP Symposium On Applied Computing. [BK21 Conference]
2019
[56] Kim, J., Gong, T., Kim, B., Park, J., Kim, W., Huang, E., Han, K., Kim, J., Ko, J., & Lee, S. (2019). No More One Liners: Bringing Context into Emoji Recommendations. ACM Transactions on Social Computing.
[55] Jeon, S., Han, J., Jo, Y., & Han, K. (2019). Being More Focused and Engaged in Firefighting Training: Applying User-Centered Design to VR System Development. ACM International Symposium on Virtual Reality Software and Technology (VRST), ACM. (acceptance rate: 21%) [BK21 Conference]
[54] Kim, I., Kim, R., Kim, H., Kim, D., Han, K., Lee, P., Mark, G., & Lee, U. (2019). Understanding Smartphone Usage in College Classrooms: A Long-term Measurement Study. Computers & Education. [SCI(E)]
[53] Kim, B., Lee, S.W., Hong, H., & Han, K. (2019). Automated Time Manager: The Effectiveness of Self-Regulation on Time Management through a Smartphone Application. IEEE Access. [SCI(E)]
[52] Kim, J., Gong, T., Kim, B., ... et al. (2019). Poster: Bringing Context into Emoji Recommendations. International Conference on Mobile Systems, Applications, and Services (MobiSys), ACM. [BK21 Conference]
[51] Jo, Y., Kim, M., & Han, K. (2019). How Do Humans Access the Credibility of Weblogs: Qualifying and Verifying Human Factors with Machine Learning. International Conference on Human Factors in Computing Systems (CHI), ACM. (acceptance rate: 24%) [BK21 Conference]
[50] Cho, K., Lee, Y., Han, K., Choi, J., & Kim, S. (2019). No, That's Not My Feedback: TV Show Recommendation Using Watchable Interval. International Conference on Data Engineering (ICDE), IEEE. (acceptance rate: 26%) [BK21 Conference]
[49] Lee, U., Han, K., Cho, H., Chung K., Hong, H., Lee, S., Noh, Y., Park, S., & Carroll, J.M. (2019). Intelligent Positive Computing with Mobile, Wearable, and IoT Devices: Literature Review and Research Directions. Journal of Ad Hoc Networks. [SCI(E)]
[48] Dasgupta, A., Poco, J., Rogowitz, B., Han, K., & Silva, C. (2019). The Effect of Color Scales on Climate Scientists’ Objective and Subjective Performance in Spatial Data Analysis Tasks. IEEE Transactions on Visualization and Computer Graphics. [SCI(E)]
2018
[47] Kim, B., Rhim, S., Han, K., & Lee, S.W. (2018). Leveraging Mobile Technology to Support Goal Setting and Strategies of College Students. International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, ACM. [BK21 Conference]
[46] Jo, Y., Jang, M., Kim, S., & Han, K. (2018). Efficient processing of recommendation algorithms on a single-machine-based graph engine. Journal of Supercomputing. [SCI(E)]
[45] Song, J., Han, K., Lee, D., & Kim, S. (2018) Is a picture really worth a thousand words?”: A case study on classifying user attributes on Instagram. PloS one. [SCI(E)]
[44] Han, K., Jo, Y., Jeon, Y., Kim, B., Song, J., & Kim, S. (2018). Photos Don't Have Me, But How Do You Know Me? Analyzing and Predicting Users on Instagram. International Conference on User Modeling, Adaptation, and Personalization (UMAP), ACM. (acceptance rate: 25%)
[43] Han, K., Jung H., Jang, J., & Lee. D. (2018). Understanding Users Privacy Attitudes Through Subjective and Objective Assessments: An Instagram Case Study. Computer, 18-28, IEEE. [SCI(E)]
[42] Kim, D., Han, K., Shim, J., & Noh, Y. (2018). Smombie Guardian: We watch for potential obstacles while you are walking and conducting smartphone activities. PloS one, 13(10). [SCI(E)]
[41] Park, H., Song, J., Han, K., & Kim, S. (2018). I Like Your Tagged Photos, But Do We Know Each Other?: Analyzing the Role of Tags in Like Networks. International Conference on Web Services (ICWS), IEEE. [BK21 Conference]
[40] Han, K. (2018). How do you perceive this author? Understanding and modeling authors’ communication quality in social media. PloS one, 13(2). [SCI(E)]
2017
[39] Dasgupta, A., Burrows, S., Han, K., & Rasch, P. (2017). Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists’ Visual Analytic Judgments. International Conference on Human Factors in Computing Systems (CHI),1193-1204. (acceptance rate: 25%) [BK21 Conference]
[38] Huang, Z., Han, K., Charles-Smith, L., & Henry, M. (2017). Design Science Methodology Applied to a Chemical Surveillance Tool. International Conference on Human Factors in Computing Systems (CHI). Extended Abstract, 2652-2658. (acceptance rate: 39%) [BK21 Conference]
[37] Carroll, J. M., Shih, P. C., Han, K., & Kropczynski, J. (2017). Coordinating community cooperation: Integrating timebanks and nonprofit volunteering by design. International Journal of Design. [SCI(E)]