Aug. 2015: The SmartGPA paper receives the UbiComp 2015 Honorable Mention Award.
Sept. 2014: The StudentLife paper has been nominated for the Best Paper Award at ACM UbiComp'14.
Sept. 2014: Check out our StudentLife dataset!
My Google Scholar page is up here.
I am a Ph.D. student at the Department of Computer Science at Dartmouth College. I am a member of the DartNets (Dartmouth Networking and Ubiquitous Systems) Lab, under the supervision of Prof. Andrew T. Campbell. Before joining Dartmouth, I spent 3 years at Tencent as a software engineer developing search engines and recommendation systems.
As part of my doctoral work, I helped create the CarSafe app,
which is a new driver safety app for Android phones that detects and alerts drivers to dangerous driving conditions and behavior. My work on StudentLife, and SmartGPA show that we can capture the rhythm the Dartmouth term, infer students' mental health, and predict their GPA using automatic sensing data from smartphones. I'm also working on Eureka R01 lead by Prof. Dror Ben-Zeev, which trys to detect early warning signs of impending episodes of severe mental health illness from the behavioral data collected using smartphones.
Area: ubiquitous computing, mobile sensing, behavioral modeling, context aware-ness, and data mining
My current research interest broadly focuses on developing mobile sensing and inference systems for smartphones and wearable devices that observe and understand human behaviors. I am particularly interested in finding connections between people's daily behaviors and health outcomes.
Rui Wang, Weichen Wang, Alex daSilva, Jeremy F. Huckins, William M. Kelley, Todd F. Heatherton, and Andrew T. Campbell. 2018. Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 1, Article 43 (March 2018), 26 pages.[pdf]
Rui Wang, Weichen Wang, Min S. H. Aung, Dror Ben-Zeev, Rachel Brian, Andrew T. Campbell, Tanzeem Choudhury, Marta Hauser, John Kane, Emily A. Scherer, and Megan Walsh. 2017. Predicting Symptom Trajectories of Schizophrenia using Mobile Sensing. PACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, Article 110 (September 2017). (Presented at Ubicomp 2017)[pdf]
Gabriella M. Harari, Weichen Wang, Sandrine R. Müller, Rui Wang, and Andrew T. Campbell. 2017. Participants' compliance and experiences with self-tracking using a smartphone sensing app. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp '17). ACM, New York, NY, USA, 57-60. [pdf]
Harari, Gabriella M., Sandrine R. Müller, Varun Mishra, Rui Wang, Andrew T. Campbell, Peter J. Rentfrow, and Samuel D. Gosling. "An Evaluation of Students’ Interest in and Compliance With Self-Tracking Methods: Recommendations for Incentives Based on Three Smartphone Sensing Studies." Social Psychological and Personality Science 8, no. 5 (2017): 479-492.[pdf]
Ben-Zeev, Dror, Emily A. Scherer, Rachel M. Brian, Lisa A. Mistler, Andrew T. Campbell, and Rui Wang. "Use of multimodal technology to identify digital correlates of violence among inpatients with serious mental illness: a pilot study." Psychiatric services (2017): appi-ps.[pdf]
Ben-Zeev, Dror, Rachel Brian, Rui Wang, Weichen Wang, Andrew T. Campbell, Min SH Aung, Michael Merrill et al. "CrossCheck: Integrating Self-Report, Behavioral Sensing, and Smartphone Use to Identify Digital Indicators of Psychotic Relapse." (2017).[pdf]
Harari, Gabriella M., Samuel D. Gosling, Rui Wang, Fanglin Chen, Zhenyu Chen, and Andrew T. Campbell. "Patterns of behavior change in students over an academic term: A preliminary study of activity and sociability behaviors using smartphone sensing methods." Computers in Human Behavior 67 (2017): 129-138.[pdf]
Rui Wang, Fanglin Chen, Zhenyu Chen, Tianxing Li, Gabriella Harari, Stefanie Tignor, Xia Zhou, Dror Ben-Zeev, and Andrew T. Campbell. "StudentLife: Using Smartphones to Assess Mental Health and Academic Performance of College Students." In Mobile Health, pp. 7-33. Springer, Cham, 2017.
Rui Wang, Min S. H. Aung, Saeed Abdullah, Rachel Brian, Andrew T. Campbell, Tanzeem Choudhury, Marta Hauser, John Kane, Michael Merrill, Emily A. Scherer, Vincent W. S. Tseng, and Dror Ben-Zeev. "CrossCheck: Toward passive sensing and detection of mental health changes in people with schizophrenia." In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 886-897. ACM, 2016. [pdf]
Rui Wang, Peilin Hao, Xia Zhou, Andrew T. Campbell, and Gabriella Harari. 2016. SmartGPA: How Smartphones Can Assess and Predict Academic Performance of College Students. GetMobile: Mobile Comp. and Comm. 19, 4 (March 2016), 13-17.
Gabriella Harari, Samuel D. Gosling, Rui Wang, Fanglin Chen, Zhenyu Chen, Andrew T. Campbell. (2017). Patterns of Behavior Change in Students Over an Academic Term: A Preliminary Study of Activity and Sociability Behaviors Using Smartphone Sensing Methods. Computers in Human Behavior, 67, 129-138.
Gabriella Harari, Nicholas D. Lane, Rui Wang, Benjamin S. Crosier, Andrew T. Campbell, and Samuel D. Gosling. (in press). Using Smartphones to Collect Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges. Perspectives on Psychological Science.
Rui Wang, Peilin Hao, Gabriella Harari, Xia Zhou, and Andrew T. Campbell, SmartGPA: How Smartphones Can Assess and Predict Academic Performance of College Students, ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), September 2015. [Honorable Mention Award] [pdf]
Rui Wang, Xia Zhou, and Andrew T. Campbell, Using opportunistic face logging from smartphone to infer mental health: challenges and future directions. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers (pp. 683-692). ACM. [pdf]
Sophia Haim, Rui Wang, Sarah E. Lord, Lorie Loeb, Xia Zhou, and Andrew T. Campbell, The mobile photographic stress meter (MPSM): a new way to measure stress using images. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers (pp. 733-742). ACM. [pdf]
Dror Ben-Zeev, Emily A. Scherer, Rui Wang, Haiyi Xie, and Andrew T. Campbell, Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health. Psychiatric Rehabilitation Journal, Vol 38(3), Sep 2015 [pdf]
Randy Colvin, Stefanie Tignor, Rui Wang, Andrew T. Campbell, Inching Closer to Objective Personality Assessment: The Promise of Smartphone Data, the Society for Personality and Social Psychology (SPSP), Long Beach,
CA February, 2015.
Gabriella M. Harari, Samuel D. Gosling, Rui Wang, Andrew T. Campbell, Capturing Situational Information with Smartphones and Mobile Sensing Methods, European Journal of Personality, 2015. [pdf]
Rui Wang, Fanglin Chen, Zhenyu Chen, Tianxing Li, Gabriella Harari, Stefanie Tignor, Xia Zhou, Dror Ben-Zeev, and Andrew T. Campbell, StudentLife: Assessing Behavioral Trends, Mental Well-being and Academic Performance
of College Students using Smartphones, ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014), September 2014. [Best Paper Nominee] [pdf]
Fanglin Chen, Rui Wang, Xia Zhou and Andrew Campbell, My smartphone knows I am hungry, ACM Workshop on Physical Analytics, June, 2014. [pdf]
Harari, G. M., Ferrell, J. D., Gosling, S. D., Pennebaker, J. W., Yarkoni, T., Wang, R., Chen, F., Chen, Z., Campbell, A. T. (2014, May). BioRhythmLITE: Smartphone Sensing of Everyday Behavioral Patterns. Poster presented at the annual meeting of the Association for Psychological Science, San Francisco, CA.
Harari, G. M., Campbell, A., Wang, R., Chen, F., Chen, Z., Norris, C., Colvin, R., Gosling, S. D. (2014, February). The Biorhythm Study: Smartphone Sensing a Term in the Life of a Dartmouth Class. Poster presented at the annual meeting of the Society for Personality and Social Psychology, Austin, TX.
Zhenyu Chen, Mu Lin, Fanglin Chen, Nicholas D. Lane, Giuseppe Cardone, Rui Wang, Tianxing Li, Yiqiang Chen, Tanzeem Choudhury, Andrew T. Campbell, Unobtrusive Sleep Monitoring using Smartphones, 7th International ICST Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health ’13), May 2013 [pdf]
Bing You, Nicholas D. Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J. Bao, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T. Campbell, CarSafe App: Alerting Drowsy and Distracted Drivers using Dual Cameras on
Smartphones, 11th ACM Conference on Mobile Systems, Applications, and Services (MobiSys ‘13), June 2013 [pdf]
Press & News
Students under surveillance,
Predicting GPA and student success? Dartmouth researchers say there’s an app for that,
during NPR's Morning Edition and All Things Considered shows, June 8, 2015
The Quantified Student: An App That Predicts GPA,
App claims to know your GPA just by looking at your phone,
The app that can predict your GPA,
Researchers use an app to predict GPA based on smartphone use,
Can a New Smartphone App Predict GPA?,
Dartmouth Predicts GPA Based on Phone Tracking App,
Really smart phones: Now they can predict your GPA,
Dartmouth Researchers Create First Smartphone App That Predicts GPA,
Diagnosing depression with an app,
The Independent, November 2014
Smartphone apps could be next tool for mental wellbeing,
ABC (listen), Nov 2014
Mental Health App,
BBC World News TV Impact, October 2014
Smartphone app knows when students are feeling stressed,
BBC CAPITAL, October 2014
New App Measures Students' Moods and Mental Health,
Chronicle of Higher Education, October 2014
App Can Tell When Students Are Stressed Out,
Sensing Depression, Radio interview with
Nora Young on CBC/NPR Spark, September 2014
Your App, Yourself,
Editorial, September 2014
Failing students saved by stress-detecting app - our work on the StudentLife study at Dartmouth is featured in the New Scientist, September 2014 - the article appeared in the printed version of NS under the headline "Phone in your feelings"
Sensitive Smart Phones Decipher The Habits Of Successful Students,
This App Passively Tracks Your Mental Health,
Stressed Out? Your Smartphone Could Know Even Before You Do,
This Phone App Knows If You're Depressed,
MIT Technology Review, September 2014
Your Smartphone Thinks You're Sad, CBS
News, September 2014
Smartphone App Knows When You're Feeling Blue,
CNET, September 2014
Dartmouth Teacher Makes Health App, Valley News, September
Dartmouth's StudentLife App Can Tell You If Your Mental Health Is Hurting Your Grades,
engadget, September 2014
A simple app makes your car smarter, ZDNet, September, 2012