2020

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[70] 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 ASD. PloS one. [SCI(E)]

[69] 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)]

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[68] 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. [BK21 Conference]

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[67] 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. [BK21 Conference]

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[66] 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)]

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[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]

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[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. 

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[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)]

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[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)]

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[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%)

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[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.

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[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]

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[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]

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[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]

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2019

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[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.

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[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]

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[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)]

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[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)]

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[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]

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[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]

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[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]

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[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)] 

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[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)]

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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]

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[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)]

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[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)]

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[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)]

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[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)]

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[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]

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[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)]

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2017

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[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]

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[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]

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[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)]​

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2016

[36] Volkova, S., Han, K., & Corley, C. (2016). Using Social Media to Measure Student Wellbeing: A Large-Scale Study of Emotional Response in Academic Discourse. Social Informatics (SocInfo). (acceptance rate: 28%)

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[35] Carroll, J. M., Shih, P. C., Kropczynski, J., Cai, G., Rosson, M. B., & Han, K. (2016). The Internet of Places at Community-Scale: Design Scenarios for Hyperlocal Neighborhood. In S. Konomi & G. Roussos (Eds.), Enriching Urban Spaces with Ambient Computing, the Internet of Things, and Smart City Design. Hershey, PA: IGI Global.

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[34] Han, K., Lee, S., Jang, J., Jung, Y., & Lee, D. (2016). Teens are from Mars, Adults are from Venus: Analyzing and Predicting Age Groups with Behavioral Characteristics in Instagram. International Conference on Web Science (WebSci). (acceptance rate: 18%) 

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[33] Jang, J., Han, K., Lee, D., Jia, H., & Shih, P.C. (2016). Teens Engage More with Fewer Photos: Temporal and Comparative Analysis on Behaviors in Instagram. International Conference on Hypertext and Social Media (HT), ACM.
 

[32] Han, K., Volkava, S., & Corley, C. (2016). Understanding Roles of Social Media in Academic Engagement and Satisfaction for Graduate Students. International Conference on Human Factors in Computing Systems (CHI). Extended Abstract, ACM. (acceptance rate: 43%)

[31] Han, K., Cook, K., & Shih, P.C. (2016). Exploring Effective Decision Making through Human-Centered and Computational Intelligence Methods. Human-Centered Machine Learning Workshop at the International Conference on Human Factors in Computing Systems.

[30] Zhang, S., Han, K., Rosson, M.B., & Carroll, J.M. (2016). The Role of Social Media in MOOCs: How to Use Social Media to Enhance Student Retention. Learning at Scale, ACM. (acceptance rate: 22%)

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[29] Han, K., Wirth, R., Hanrahan, B., Chen, J., Lee, S., & Carroll, J.M. (2016).Being connected to the local community through a Festival mobile application. iConference. (acceptance rate: 30%)

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[28] Han, K. (2016). Understanding the Application of Mobile Technology in Local Community Contexts. Ph.D. Dissertation. The Pennsylvania State University.

2015

[27] Shih, P. C., Han, K., & Carroll, J.M. (2015). Engaging Community Members with Digitally Curated Social Media Content at an Arts Festival. Digital Heritage International Congress, Granada, Spain. New York, NY: IEEE.

[26] Jang, J., Han, K., & Lee. D. (2015). No Reciprocity in "Liking" Photos: Analyzing Like Activities in Instagram. Proceedings of the International Conference. on Hypertext and Social Media (HT), ACM. (acceptance rate: 40%)

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[25] Shih, P. C., Han, K., & Carroll, J.M. (2015). Using Social Multimedia Content to Inform Emergency Planning and Management of Recurring and Cyclical Events in Local Communities. Journal of Homeland Security and Emergency Management (JHSEM). (IF: 0.48)

[24] Han, K., Jang, J, & Lee, D. (2015). Exploring Tag-based Like Networks. International Conference on Human Factors in Computing Systems (CHI). Extended Abstract, ACM, 1941-1946. (acceptance rate: 45%)

[23] Jang, J., Han, K., Shih, P. C., & Lee, D. (2015). Generation Like: Comparative Characteristics in Instagram. International Conference on Human Factors in Computing Systems (CHI), ACM, 4039-4042. (acceptance rate: 23%)

[22] Shih, P. C., Bellotti, V., Han, K., & Carroll, J. M. (2015). Unequal time for unequal value: Design implications of differing motivations for participation in timebanking. International Conference on Human Factors in Computing Systems (CHI), ACM, 1075-1084. [Honorable Mention] (acceptance rate: 23%)

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[21] Shih, P. C., Han, K., Poole, E. S., Rosson, M. B., & Carroll, J. M. (2015). Adoption Challenges of Wearable Activity Trackers. iConference. [Best Paper Nomination] (acceptance rate: 36%)

[20] Han, K., Shih, P. C., Bellotti, V., & Carroll, J. M. (2015). It’s Time There Was an App for That Too: A Usability Study of Mobile TimeBanking. International Journal of Mobile Human Computer Interaction (IJMHCI), 7(2).

2014

[19] Han, K., Shih, P. C., Rosson, M. B., & Carroll, J. M. (2014). Understanding Local Community Attachment, Engagement, and Social Supported Networks Mediated by Mobile Technology. International Journal of Interacting with Computers (IwC). (IF: 1.365).

[18] Shih, P. C., Han, K., & Carroll, J. M. (2014). Community Poll: Exploring the Effects of Externalizing Public Opinions in Social Media in a Local Community Context. International Conference on Human Computation & Crowdsourcing (HCOMP). (acceptance rate: 32%)

[17] Carroll J. M., Hoffman, B., Han, K., & Rosson, M. B. (2014). Reviving Community Networks: Hyperlocality and Suprathresholding in Web 2.0 Designs. International Journal of Personal Ubiquitous Computing (PUC). (IF: 1.616)

[16] Han, K., Shih, P. C., & Carroll, J. M. (2014). Local News Chatter: Augmenting Community News by Aggregating Hyperlocal Microblog Content in a Tag Cloud. International Journal of Human-Computer Interaction (IJHCI). (IF: 0.723)

[15] Carroll, J. M., Kropczynski, J., & Han, K. (2014). Grounding Activity in People-Centered Smart Territories by Enhancing Community Awareness. International Journal of Interaction Design & Architectures.

[14] Han, K., Shih, P. C., Bellotti, V., & Carroll, J. M. (2014). Timebanking with a Smartphone Application. Collective Intelligence.

[13] Carroll, J. M., Shih, P. C., Hoffman, B., Wang, J., & Han, K. (2014). Social Presence and Hyperpresence: Implications for Community Awareness. Interacting with Presence: HCI and the sense of presence in computer-mediated environments.Giuseppe Riva, John Waterworth, & Dianne Murray, Eds. Versita Open.

[12] Shih, P. C., Han, K., & Carroll, J. M. (2014). Community Incident Chatter: Informing Local Incidents by Aggregating Local News and Social Media Content. International Conference on Information Systems for Crisis Response and Management (ISCRAM), 770-774. (acceptance rate: 46%)

[11] Bellotti, V., Cambridge, S., Hoy, K., Shih, P. C., Handalian, L., Han, K., & Carroll, J. M. (2014). Towards Community-Centered Support for Peer-to-Peer Service Exchange: Rethinking the Timebanking Metaphor. International Conference on Human Factors in Computing Systems (CHI ), ACM, 2975-2984. [Honorable Mention] (acceptance rate: 23%)

[10] Han, K. (2014). Studying the Application of Mobile Technology to Local Communities. International Conference on Computer Supported Cooperative Work (CSCW ’14), Doctoral Colloquium, ACM, 61-64, Baltimore, MD.

[9] Han, K., Shih, C. P., Rosson, M. B., & Carroll. J. M. (2014). Enhancing Community Awareness of and Participation in Local Heritage with a Mobile Application. International Conference on Computer Supported Cooperative Work (CSCW), ACM, 1144-1155, Baltimore, MD. (acceptance rate: 27%)

2013

[8] Han, K., Shih, C. P., & Carroll, J. M. (2013). Aggregating Community Information to Explore Social Connections. International Conference on Weblogs and Social Media (ICWSM), AAAI.

[7] Bellotti, V., Carroll, J. M., & Han, K. (2013). Random Acts of Kindness: The Intelligent and Context-Aware Future of Reciprocal Altruism and Community Collaboration. International Conference on Collaboration Technologies and Systems (CTS), IEEE.

[6] Carroll, J. M., Hoffman, B., Robinson, H., Han, K., & Rosson, M. B. (2013).Hyperlocality and Suprathresholding in Community Network Designs. International Conference on Human Factors in Computing Systems (CHI), Workshop on Human Computer Interaction for Third Places.

2012

[5] Hoffman, B., Robinson, H., Han, K., & Carroll, J. M. (2012). CiVicinity Events: Pairing Geolocation Tools with a Community Calendar. International Conference on Computing for Geospatial Research & Analysis (COM.Geo), ACM. (acceptance rate: 32%)

[4] Graham, E., Vassallo, D., Gerrick, S., Han, K., Kang, J., & Hsieh, N. (2012).Challenges of Mobile Phone-based, GPS-Dependent Gaming for Citizen Science. International Conference on Computer Supported Cooperative Work (CSCW), Workshop in Mixed Reality Games.

2011

[3] Han, K., Graham, E., Vassallo, D., & Estrin, D. (2011). Enhancing Motivation in Mobile Participatory Sensing Project through Gaming. International Conference on Social Computing (SocialCom), IEEE.

[2] Kim, D.H., Han, K., & Estrin, D. (2011). Employing User Feedback for Semantic Location Services. International Conference on Ubiquitous Computing (Ubicomp), ACM, 217-226. (acceptance rate: 17%)

2010

[1] Suh, M., Evangelista, L., Chen, C., Han, K., Kang, J., Tu, M., Chen, V., Nahapetian, A., & Sarrafzadeh, M. (2010). An Automated Vital Sign Monitoring System for Congestive Heart Failure Patients. International Health Informatics Symposium (IHI). (acceptance rate: 48%)

Before joining Ajou