Zhang T, Bae SW, Chung T, Dey AK (2026) Emotion-Adaptive Large Language Model–Driven Clinical Decision Support: User Evaluation of the Empathic Clinical Decision Support System Framework for Trust and Explainability, JMIR Hum Factors 2026;13:e89005, DOI: 10.2196/89005 PMID: 42172616 PMCID: 13241800Sukmana, S. E., Bae, S. W., Shibata, T. (2026). Freezing of Gait Prediction using Proactive Agent that Learns from Selected Experience and DDQN Algorithm, nternational Journal of Activity and Behavior Computing, 2026(1), 1-18 DOI: 10.60401/ijabc.137.Bae SW, Chung T, Zhang T, Dey AK, Islam R. (2025). Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study. JMIR AI, Volume 4, Article e52270. DOI: 10.2196/52270, PMID: 39746202, PMCID: PMC11739728Shin J, Ko H, Bae SW, Kim J. (2025). An Exploratory Study on the Impacts of Voice-Based Conversational Agents with Proactive Interactions in the Driving Context. International Journal of Human–Computer Interaction, Volume 41, Issue 6, Pages 3708–3723. DOI: 10.1080/10447318.2024.2441530
Islam MR, Bae SW (2024). FacePsy: An Open-Source Affective Mobile Sensing System – Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings. Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 8, Article 260, 32 pages. GitHub Repository, BeyondSmile Data Challenge.
T Zhang, T Chung, A Dey, SW Bae (2024), Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults, IEEE Xplore [pdf]
Bae S, Chung T, Zhang T, Dey A, Islam R (2024) Towards Automated, Interpretable and Unobtrusive Detection of Acute Marijuana Intoxication in the Natural Environment: Harnessing Smartphones, Wearables, Machine Learning and Explainable AI to Empower Clinical Decision Support for Just-In-Time Adaptive Interventions. JMIR AI, to appear [preprint]Bae S, Suffoletto B, Zhang T, Chung T, Ozolcer M, Islam R, Dey A (2023). Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge Drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation. JMIR Formative Research, 2023 [pdf]Lauvsnes A, Hansen T, Ankill S, Bae S, W Gråwe R, Braund T, Larsen M, Langaas M (2023). Mobile Assessments of Mood, Cognition, Smartphone-Based Sensor Activity, and Variability in Craving and Substance Use in Patients With Substance Use Disorders in Norway: Prospective Observational Feasibility Study, JMIR Formative Research, 2023 [pdf]Lauvsnes A, Hansen T, Ankill S, Bae S, W Gråwe R, Braund T, Larsen M, Langaas M (2023). Mobile Assessments of Mood, Executive Functioning, and Sensor-Based Smartphone Activity, Explain Variability in Substance Use Craving and Relapse in Patients with Clinical Substance Use Disorders – A Pilot study, JMIR Formative Research. 2023 [preprint]Yan R, Ringwald W, Julio Vega, Kehl M, Bae S, Dey A, Low C, Wright A, Doryab A. (2022). Exploratory Machine Learning Modeling of Adaptive and Maladaptive Personality Traits from Passively Sensed Behavior. Future Generation Computer Systems, Elsevier. [pdf]Bae S, Chung T, Islam R, Suffoletto B, Du J, Jang S, Nishiyama Y, Jang S, Mulukutla R, Dey A (2021). Mobile Phone Sensor-Based Detection of Subjective Cannabis Intoxication in Young Adults: A Feasibility Study in Real-World Settings. Drug and Alcohol Dependence, 228, p.108972. Elsevier. [pdf]Yan R, Ringwald W, Julio Vega, Kehl M, Bae S, Dey A, Low C, Wright A, Doryab A. (2021). Machine Learning Modeling of Adaptive and Maladaptive Personality Traits from Passively Sensed Behavior. Future Generation Computer Systems, PsyArXiv [pdf]Chung T, Bae S, Suffoletto B, Du J, Jang S, Nishiyama Y, Jang S, Dey A (2020). Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study.” JMIR Mhealth Uhealth. 2020; 8(3):e16240. Open access PMCID: PMC7093776 [pdf]Bae S, Chung T, Ferreira D, Dey AK, Suffoletto B. Mobile Phone Sensors and Supervised Machine Learning to Identify Alcohol Use Events in Young Adults: Implications for Just-In-Time Adaptive Interventions. Addictive Behaviors, 2018. 8 [pdf]Low CA, Dey AK, Ferreira D, Kamarck T, Sun W, Bae S, Doryab A. Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: An Exploratory Study. Journal of Medical Internet Research (JMIR), 2017.12 [pdf] 🏆 Best Paper in Cancer InformaticsBae S, D. Ferreira, B. Suffoletto, J.C. Puyana, R. Kurtz, T.A. Chung and A.K. Dey. Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), ACM, Volume 1 Issue 2, 2017.6 [pdf]Bae S, Jang J, Kim J, (2013) Good Samaritans on social network services: Effects of shared context information on social supports for strangers. International Journal of Human-Computer Studies, Special Issue: “Social Networks and Ubiquitous Interactions ” 2013, SCI (Science Citation Index) [pdf]Bae S, Lee H, Park H, Cho H, Park J, Kim J, (2012) The Effects of Egocentric and Allocentric Representations on Presence and Perceived Realism: Tested in Stereoscopic 3D Games. Interacting with Computers, No 24, 251–264, 2012, SCI (Science Citation Index) [pdf]Bae S, Lee H, Park H, Jang J, Kim J, (2012) Competition & Collaboration: Why People Share Where They Are? Journal of the HCI Society of Korea, 7(1), 2012.5, 19-28Lee H, Park H, Bae S, Kim J, (2012) Social Network Service Users’ Criteria and Strategies for Context Sharing, Journal of the HCI Society of Korea, 7(1), 2012.5, 11-17Park W, Jung I, Park J, Bae S, Jung S (2011). The Effect of Spatial Dimension Shifts in Rotated Target Position Search. The Korean Journal of Cognitive Science, 22(2), 103-121Peer-Reviewed Conference Papers
Xie T, Sood P, Gupta D, Bae SW, Ning Y, Wang P (2026). ARISE: Evidence-Grounded Aspect-Based Sentiment Analysis of Student Feedback on College Mental Health Support. In 2026 IEEE International Conference on Data Mining (ICDM), Shenyang, China, November 12–15, 2026. IEEE, 2026. Accepted to appear. Overall Acceptance Rate: 19.94% (392 accepted papers out of 1,966 submissions across the Research and Applied tracks)
Ozolcer, M., Bae, S. W. (2025). Offline Policy Evaluation of Multi-Turn LLM Health Coaching with Real Users. NeurIPS 2025 Workshop on Multi-Turn Interactions in Large Language Models; arXiv preprint arXiv:2510.17173. DOI: 10.48550/arXiv.2510.17173.
Ozolcer, M., Bae, S. W. (2025). SePA: A Search-Enhanced Predictive Agent for Personalized Health Coaching. 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Atlanta, GA, USA, pp. 1–7. DOI: 10.1109/BHI67747.2025.11269521.
Ozolcer, M., Bae, S. W. (2025). Personalized Neural Modeling for Daily Injury Risk Assessment via Wearable Health Data. In Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (pp. 401–406). DOI: 10.1145/3721201.3724417.
Zhang T, Ding JE, Ozolcer M, Hung FM, Yang AC, Liu F, Ji YR, Bae SW (2026). Chain-of-Thought Reasoning with Large Language Models for Clinical Alzheimer’s Disease Assessment and Diagnosis. In 2026 International Conference on Activity and Behavior Computing (ABC), pp. 1-9. IEEE, 2026. DOI:10.1109/ABC68169.2026.11567305
Vered, M., Hassan, T., Ntekouli, M., Bae, S. W., Gjoreski, M. (2025). XAI for U 2025: 2nd International Workshop on Explainable AI for Ubiquitous, Pervasive and Wearable Computing. In Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1670–1673). DOI: 10.1145/3714394.3750557.
Kwon, H., Aledavood, T., Adler, D. A., Xu, X., Salekin, A., Mishra, V., Bae, S. W., Sano, A., Abdullah, S., Zhao, Y., Kalanadhabhatta, M. (2025). 10th International Workshop on Mental Health and Well-Being: From Research to Practice in Mental Healthcare. In Companion of the 2025 ACM International Joint
Conference on Pervasive and Ubiquitous Computing (pp. 1172–1175). DOI: 10.1145/3714394.3750563
Bae, S. W., Laccetti, A., Ozolcer, M., Zhang, T. (2025). PXAI-Coach: Designing and Evaluating a Person-Centric Explainable AI Dashboard for Athlete Health Monitoring and Coaching. 2025 International Conference on Activity and Behavior Computing (ABC), Al Ain, United Arab Emirates, pp. 1–13.
DOI: 10.1109/ABC64332.2025.11118561.
Choi, G. W., Bae, S. W. (2025). MetaCoXAI Framework: Linking XAI, Computational Thinking, and Metacognition for Learning. In Joint Proceedings of the xAI 2025 Late-Breaking Work, Demos and Doctoral Consortium, CEUR Workshop Proceedings, Vol. 4017, pp. 193–200. URL: CEUR-WS Vol. 4017,
Paper 25
Zhang, T., Chung, T., Dey, A., Bae, S. W. (2025). AXAI-CDSS: An Affective Explainable AI-Driven Clinical Decision Support System for Cannabis Use. 2025 International Conference on Activity and Behavior Computing (ABC), Al Ain, United Arab Emirates, pp. 1–14. DOI: 10.1109/ABC64332.2025.11118599. 🏆 Excellent Paper Award
Ozolcer, M., Zhang, T., Bae, S. W. (2025). Predicting Volleyball Season Performance Using Pre-Season Wearable Data and Machine Learning. 2025 International Conference on Activity and Behavior Computing (ABC), Al Ain, United Arab Emirates, pp. 1–11. DOI: 10.1109/ABC64332.2025.11118608. 🏅 Best Paper Candidate
Ford, A., Zhang, T., Dong, A., Bae, S. W. (2025). Unraveling the Sandman’s Mystery: Predicting and Explaining Sleep Quality Over Eight Years. 2025 International Conference on Activity and Behavior Computing (ABC), Al Ain, United Arab Emirates, pp. 1–9. DOI: 10.1109/ABC64332.2025.11118601.
Ozolcer, M., Yang, Y., Kate, S., Samant, P., Bae, S.W. (2024). Toward Enhancing User Experience and Adoption of AI Chatbot Apps for Mental Health: Insights from Natural Language Processing of User Reviews. In: Salado, A., Valerdi, R., Steiner, R., Head, L. (eds) The Proceedings of the 2024 Conference on Systems Engineering Research. CSER 2024. Conference on Systems Engineering Research Series. Springer, Cham. DOI:10.1007/978-3-031-62554-1_37
Islam MR, Bae SW (2024). MoodCam: Mood Sensing Through In-the-Wild Facial Affect Data. IEEE Smart World Congress (SWC), DOI: 10.1109/SWC62898.2024.00112
Islam MR, Zhang T, Bisen P, Bae SW (2024). MoodPupilar: Predicting Mood Through Smartphone Detected Pupillary Responses in Naturalistic Settings. IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN), DOI: 10.1109/BSN63547.2024.10780658.
R. Islam and S. W. Bae, PupilSense: Detection of Depressive Episodes through Pupillary Response in the Wild, 2024 International Conference on Activity and Behavior Computing (ABC), Oita / Kitakyushu, Japan, 2024, pp. 01-13, DOI: 10.1109/ABC61795.2024.10652166. GitHub Repository
T Zhang, T Chung, A Dey, SW Bae, Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults, 2024 International Conference on Activity and Behavior Computing, May 28-31, 2024 [pdf] 🏅 Best Paper Candidate
H Lee , A Kim, SW Bae, U Lee, S-ADL: Exploring Smartphone-based Activities of Daily Living to Detect Blood Alcohol Concentration in a Controlled Environment, Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, May 11-16, 2024 [pdf] 🏆 Best Paper Honorable Mention
M Ozolcer, Y Yang, S Kate, P Samant, SW Bae, Towards Enhancing User Experience and Adoption of AI Chatbot Apps for Mental Health, The 21st International Conference on Systems Engineering Research (CSER) 2024, March 25-27, 2024
Chung T, Bae SW, Zhang T, Ozolcer M, MR Islam, Dey A, Suffoletto B, Wright A, Bhurosy T, Moving Toward Personalized Behavioral Medicine: Integrating Smartphone-based GPS Data into a Digital Alcohol Intervention, 45th Annual Meeting & Scientific Sessions of the Society of Behavioral Medicine, March 13, 2024 [pdf]
M Ozolcer, MR Islam, A Mohammed, T Zhang, SW Bae, T Liao. Towards Designing Empathetic and Trustworthy AI Chatbots: An Exploratory Study. International Engineering Systems Symposium, March, 2024MR Islam, SW Bae. MicroFlow: Advancing Affective States Detection in Learning through Micro-expressions. International Engineering Systems Symposium, November 6, 2023SW Bae, F Liu. Preference Detection Harnessing Low-Cost Portable Electroencephalography and Facial Behavior Markers. International Engineering Systems Symposium, November 6, 2023M Ozolcer, MR Islam, A Mohammed, T Zhang, SW Bae, T Liao. Towards Designing Empathetic and Trustworthy AI Chatbots: An Exploratory Study. International Engineering Systems Symposium, November 6, 2023Korshakova E, Bae S, (2022) Towards Human-Centric XAI Chatbots in Mental Health for End-User Experience, the Human-Centered Explainable AI (HCXAI) workshop, May 12-13, 2022. ACM Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems [pdf]Roper S, Bae S, (2022) Exploring Students' Flow States Using Facial Behavior Markers in an Online At-Home Learning Environment, The Future of Emotion workshop, April 30, 2022. ACM Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems [pdf]T Nwabueze, SW Bae, Advancing Teaching and Learning Experiences of STEM Education in Nigeria By Developing 3D Printers and Participatory Design Course Programs (2021), Decolonizing HCI Across Borders (HCIxB) Workshop, May 6, 2021. ACM Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 🏆 Toby Received Gary Marsden Travel Awards E Alofi, SW Bae, Integrating Centralized Barcode Techniques for Effective and Secure Transfer of Patients’ Data (2021), Decolonizing HCI Across Borders (HCIxB) Workshop, May 6, 2021. ACM Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 🏆 Eman Received Gary Marsden Travel Awards S. Bae, T. Chung, B. Suffoletto, M. Islam, J. Du, S. Jang, Y. Nishiyama, R. Mulukutla, A.K. Dey Mobile Phone Sensor-Based Detection of Subjective Cannabis “High” in Young Adults: A Feasibility Study in Real-World Settings (2020), Research Society on Marijuana (RSMj), June 24, 2021Bae S, D. Ferreira, B. Suffoletto, J.C. Puyana, R. Kurtz, T.A. Chung and A.K. Dey. Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors. 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM. 2017.9 [pdf]Bae, S., Dey, A.K. and Low, C.A. Using Passively Collected Sedentary Behavior to Predict Hospital Readmission. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing 616-621. ACM. 2016. [pdf]Bae S, Jang J, Kim J, (2013) Social Contagion Effect. HCI Korea, Korea, 2013.1.Bae S, Lee H, Park H, Jang J and Kim J. Competition & Collaboration: Why People Share Location Context Information? HCI Korea, Korea, 900-903, 2012.1.Lee H, Park H, Bae S, Kim J, (2012) Sharing strategies of context information for users on social network services. HCI Korea, 2012.1, 891-895Bae S, Cho H, Lee H, Park J, Kim J (2011). Which Factors Make Users Feel Real? : The study of effects of 3D display users’ spatial cognition on Presence. HCI Korea, Korea, 2011.1, 669-672Cho H, Bae S, Lee H, Park J, Kim J (2010). The effects of Tangible Media on Users’ Empathy: Focused on 3D Display Users’ Experiences. The Korea society of Management Information Systems, Korean Federation of Science & Technology Societies, 2010. 6Bae S, Park S (2005). User experienced Interface Design Guideline through Usability of Personalized Service in Internet Shopping mall-Based on Quality Evaluation of Personalized Service. HCI Korea, Korea, Jan.31-Feb.3, Jan 2005. 1593-1602Bae S, Park S (2004). An Interrelation between Design Elements and Commodity Sales in Websites. HCI Korea, Feb.9-12, 2004, 1370-1372Bae S, Park S (2003). Analysis of Factors Affecting the Use of an Opt-in E-mail (Measurement: Opening rate and Click-through rate). HCI Korea, Korea, Feb.10-13, Feb 2003, 567-570S. Bae. How AI is Accelerating the Path from Approval to Better Patient Outcomes, BioNJ AI & Digital Health Day, Panel discussion, Stevens Institute of Technology, November 18, 2024S. Bae. Towards Responsible Digital Therapeutics for Health Risk Prevention. Rice University, November 14, 2024S. Bae. Leveraging Affective Mobile Sensing and AI Explainability to Predict Health Risk Behaviors for Just-in-Time Interventions in Real-World Contexts. Workshop on the Future of Ubiquitous Computing and Human-Centred AI at UNSW Sydney, Australia, on October 11, 2024S. Bae. Responsible AI Governance for DUI Prevention in Public Safety, the Public Reporting and Education Committee (PEEC) Meeting organized by the NJ Cannabis Regulatory Commission, September 4 2024, VirtualS. Bae. Digital Phenotyping of Substance Use Behaviors for Just-in-Time Adaptive Interventions, Big Data Conference 2024, Hybrid, South Korea, Jan 25-26, 2024
S. Bae. Multidisciplinary Approach to Better Understand Addictive Behavior, KAIST HCI talk South Korea, Jan 8, 2024MR Islam, SW Bae. Revolutionizing Mental Health Support: An Innovative Affective Mobile Framework for Dynamic, Proactive, and Context-Adaptive Conversational Agents. Ubicomp GenAI Workshop, October 8-12, 2023 [pdf]Chung T, Bae S, Suffoletto B, Dey A, Leow A, Mendhe D. Smartphone-based assessment of acute cannabis effects on daily cognitive functioning. The International Neuropsychological Society (INS) Meeting, May 25, 2023S. Bae. B Suffoletto, EY Mun, A Dey, Y Ren, T Chung, Identifying Links between Drinking Behavior and Travel Pattern to Inform Personalized Digital Alcohol Intervention, Research Society on Alcoholism (RSA) Symposium Panel on Personalizing Digital Alcohol Interventions to Optimize Effectiveness, June 2022A Demaliaj, H Khan, I Rahman, M Shah, R Islam, S. Bae, Detecting Emotion and Flow in College Students During the Online Courses – Objectivity-Oriented Approach in the Context of Coding Practice for Engineering, Google Research 2021 Tri-State ExploreCSR Workshop, April 23, 2021 🏆 Best Research AwardS Bae, T Chung, B Suffoletto, D Ferreira, AK Dey, Exploring the Use of Smartphone-based Sensors to Predict Heavy Drinking Episodes in Young Adults for Just-In-Time Intervention, Research Society on Alcoholism (RSA) Symposium on Treatments for Adolescent and Young Adult Alcohol and Marijuana Users, June 2019.S. Bae. Predicting Addictive Behaviors by Measuring Human Functions. HCII Faculty Madness talks, Human-Computer Interaction Institute, Carnegie Mellon University, August 2018.S. Bae. How Can We Detect Whether Young Adults Drink Alcohol Solely Using Smartphones? HCII Seminar talk series, Human-Computer Interaction Institute, Carnegie Mellon University, September 2017.T.A. Chung, B. Suffoletto*, S. Bae, A.K. Dey. Exploring the Use of Smartphone-based Sensors to Detect Drinking Episodes in Young Adults as A Step Toward Just-In-Time Intervention. Research Society on Alcoholism (RSA). Symposium on Treatments for Adolescent and Young Adult Alcohol and Marijuana Users. June, 2017. Selected top 8 studies for press release.LATTICE symposium (Launching Academics on the Tenure-Track: An Intentional Community in Engineering and Computer Science). May 18-21, 2017 at Islandwood Conference Center on Bainbridge Island, outside of Seattle, WA. 🏆 Selected Top 30 Women Scientists in EECS in the USALow, C.A.*, S. Bae, D. Ferreira, T. Kamarck, W. Sun, Dey, A.K. Daily Stress during Chemotherapy: Associations with Changes in Quality of Life, Depression, and Inflammation. American Psychosomatic Society meeting (APS). Mobilizing Technology to Advance Biobehavioral Science and Health. March, 2017.S. Bae. Using Passively Collected Sedentary Behavior to Predict Hospital Readmission. HCII Seminar talk series, Human-Computer Interaction Institute, Carnegie Mellon University, September 2016.S. Bae. Monitoring Patients Behaviors using Smartphones and Wearables. Yonsei University, September 2016.Bae S Elders Self-Monitoring Their Health at Home: Feasibility of Usability and Compliance. Human Computer Interaction Institute 20th Anniversary Celebration, poster session, 2014 Nov, Carnegie Mellon UniversityS. Bae, Jodi Forlizzi, Steven Dow and John Zimmerman. Hospital Readmission and Care Plan Compliance, QoLT(Quality of Life Technology Center) Spring Summit, panel discussion session, Carnegie Mellon University, June 2014. Veerasami, J., Bang, J. W., Bae, S. W., Fenyö, D., Wollstein, G., Schuman, J. S., Chan, K. C. (2025). Blood-Derived Metabolomic Signatures for Glaucoma Classification Using Explainable AI with SHAP. ISMRM Workshop on Frontiers in Metabolomics & Metabolomic Imaging in Medicine: Challenges & Opportunities
T Zhang, S Bae, Explainable and Emotionally Intelligent AI-Based Clinical Decision Support with LLMs, 2024 IEEE-EMBS International Conference on Biomedical and Health Informatics, Houston, USA, November 10-13, 2024T Zhang, S Bae. Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults. Next-Gen Healthcare Innovators Symposium 2024. Stevens Institute of Technology, University Center Complex, TechFlex Auditorium, September 20, 2024Ozolcer M, S Bae. Leveraging Large Language Models for Personalized Health Insights Using Wearable Sensor Data and Machine Learning. Next-Gen Healthcare Innovators Symposium 2024. Stevens Institute of Technology, University Center Complex, TechFlex Auditorium, September 20, 2024MR Islam, S Bae. FacePSY: An Open-Source Affective Mobile Sensing System - Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings. Next-Gen Healthcare Innovators Symposium 2024. Stevens Institute of Technology, University Center Complex, TechFlex Auditorium, September 20, 2024S. Bae, J. Zhu, J. Huang and G. Srivastava. Tracking Human Behaviors via Mobile Sensors, HCII Demo Day, Carnegie Mellon University, Apr. 2017S. Bae. Elders Self-Monitoring Their Health at Home: Feasibility of Usability and Compliance. Human Computer Interaction Institute 20th Anniversary Celebration, poster session, Carnegie Mellon University, Nov 2014Bae S, Jang J, Kim J The effects of Context Information Types for Anonymous Users on Social Network Services. The Korean Society for Emotion & Sensibility, poster session 1, 2012 May, Sang-Myoung UniversityS. Bae, B Suffoletto, T.A. Chung and A.K. Dey. Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors, CMU Invention Disclosure 2018-June. submitted, 2018.S. Bae , Hwang J, Lee S and Hwang B. Apparatus and Method for Supporting Multimedia Service in Mobile Terminal, Samsung Electronics, US Patent, US20070202898 A1, 2007. [PDF]S. Bae, Hwang J, Lee S and Hwang B. Full Touch Application Development Sweeping Command in a Mobile Device, Samsung Electronics Co., Ltd. Korea patent (Targeting China, Patent Pending), 2007.