Sledovat
Sang Won "Grace" Bae
Sang Won "Grace" Bae
Další jménaSang Won Bae
Assistant Professor, HCI and HCAI Systems Lab, AI for Healthcare Lab
E-mailová adresa ověřena na: stevens.edu - Domovská stránka
Název
Citace
Citace
Rok
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
1532018
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
1062017
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
692017
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
452016
Apparatus and Method for Supporting Multimedia Service in Mobile Terminal
S Bae, S Lee, J Hwang, B Hwang
US Patent US20070202898 A1, 2007
452007
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
402012
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
362013
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
152016
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
142022
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
142020
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
132021
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
102023
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
42024
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
32024
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
32024
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
32023
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
22024
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
22024
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
22024
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Články 1–20