| Mobile Phone Sensors and Supervised Machine Learning to Identify Alcohol Use Events in Young Adults: Implications for Just-In-Time Adaptive Interventions S Bae, T Chung, D Ferreira, AK Dey, B Suffoletto Addictive behaviors 83, 42-47, 2018 | 153 | 2018 |
| Detecting Drinking Episodes in Young Adults Using Smartphone-Based Sensors S Bae, D Ferreira, B Suffoletto, JC Puyana, R Kurtz, T Chung, AK Dey Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017 | 103 | 2017 |
| Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: An Exploratory Study CA Low, AK Dey, D Ferreira, T Kamarck, W Sun, S Bae, A Doryab Journal of Medical Internet Research, 2017 | 70 | 2017 |
| Using Passively Collected Sedentary Behavior to Predict Hospital Readmission S Bae, AK Dey, CA Low Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 45 | 2016 |
| Apparatus and Method for Supporting Multimedia Service in Mobile Terminal S Bae, S Lee, J Hwang, B Hwang US Patent US20070202898 A1, 2007 | 45 | 2007 |
| The Effects of Egocentric and Allocentric Representations on Presence and Perceived Realism: Tested in Stereoscopic 3D Games S Bae, H Lee, H Park, H Cho, J Park, J Kim Interacting with Computers 24 (4), 251-264, 2012 | 40 | 2012 |
| Good Samaritans on Social Network Services: Effects of Shared Context Information on Social Supports for Strangers S Bae, J Jang, J Kim International Journal of Human-Computer Studies 71 (9), 900-918, 2013 | 36 | 2013 |
| Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior R Yan, WR Ringwald, J Vega, M Kehl, SW Bae, AK Dey, CA Low, ... Future Generation Computer Systems 132, 266-281, 2022 | 14 | 2022 |
| Mobile Phone Sensor-based Detection of Subjective Cannabis Intoxication in Young Adults: A Feasibility Study in Real-world Settings SW Bae, T Chung, R Islam, B Suffoletto, J Du, S Jang, Y Nishiyama, ... Drug and Alcohol Dependence 228, 2021 | 14 | 2021 |
| Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study T Chung, SW Bae, EY Mun, B Suffoletto, Y Nishiyama, S Jang, AK Dey JMIR mHealth and uHealth 8 (3), e16240, 2020 | 14 | 2020 |
| Service Design. From Implementation to Practice A Polaine, L Løvlie, B Reason, (, B Sangwon, J Eunki, L Younkyung, ... Seoul: Chaos Book (Original work published 2013, New York: Reosenfeld Media), 2016 | 14 | 2016 |
| Leveraging Mobile Phone Sensors, Machine Learning and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge Drinking Events to Support Just-In-Time Adaptive … SW Bae, B Suffoletto, T Zhang, T Chung, M Ozolcer, MR Islam, A Dey JMIR Formative Research 7, 20, 2023 | 10 | 2023 |
| PupilSense: Detection of Depressive Episodes through Pupillary Response in the Wild R Islam, SW Bae 2024 International Conference on Activity and Behavior Computing, 1-13, 2024 | 4 | 2024 |
| FacePsy: An Open-Source Affective Mobile Sensing System -- Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings R Islam, SW Bae Proceedings of the ACM on Human-Computer Interaction 8 (260), 1-32, 2024 | 3 | 2024 |
| S-ADL: Exploring Smartphone-based Activities of Daily Living to Detect Blood Alcohol Concentration in a Controlled Environment H Lee, A Kim, SW Bae, U Lee CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in …, 2024 | 3 | 2024 |
| MicroFlow: Advancing Affective States Detection in Learning through Micro-expressions MR Islam, SW Bae The 9th International Engineering Systems Symposium (CESUN 2023), 1-4, 2023 | 3 | 2023 |
| User Criteria and Strategies for Context Sharing in Social Network Service H Lee, H Park, S Bae, J Kim Journal of the HCI Society of Korea 7 (1), 11-17, 2012 | 3* | 2012 |
| MoodPupilar: Predicting Mood Through Smartphone Detected Pupillary Responses in Naturalistic Settings R Islam, T Zhang, PS Bisen, SW Bae IEEE International Conference on Wearable and Implantable Body Sensor …, 2024 | 2 | 2024 |
| Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults T Zhang, T Chung, A Dey, SW Bae 2024 International Conference on Activity and Behavior Computing, 1-15, 2024 | 2 | 2024 |
| Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults T Zhang, T Chung, A Dey, SW Bae arXiv preprint arXiv:2404.14563, 2024 | 2 | 2024 |
Anind K. DeyUniversity of Washingtonایمیل تأیید شده در uw.edu
