Papers

 

Faust, L., D. Hachen, O. Lizardo, and N. V. Chawla. 2018. “Quantifying Subjective Well-Being Using Trends in Weekend Activity.” In 2018 IEEE International Conference on Healthcare Informatics (ICHI), 123–29. https://doi.org/10.1109/ICHI.2018.00021.

Faust, Louis, Priscilla Jiménez, David Hachen, Omar Lizardo, Aaron Striegel, and Nitesh V. Chawla. 2018. “Long-Term Compliance Habits: What Early Data Tells Us.” In A Short Workshop on Next Steps Towards Long Term Self Tracking. http://arxiv.org/abs/1804.04256.

Faust, Louis, Priscilla Jiménez-Pazmino, James K. Holland, Omar Lizardo, David Hachen, and Nitesh V. Chawla. 2019. “What 30 Days Tells Us About 3 Years: Identifying Early Signs of User Abandonment and Non-Adherence.” In Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, 216–24. ACM. https://dl.acm.org/citation.cfm?id=3329196.

Faust, Louis, Rachael Purta, David Hachen, Aaron Striegel, Christian Poellabauer, Omar Lizardo, and Nitesh V. Chawla. 2017. “Exploring Compliance: Observations from a Large Scale Fitbit Study.” In Proceedings of the 2Nd International Workshop on Social Sensing, 55–60. SocialSens’17. New York, NY, USA: ACM. https://doi.org/10.1145/3055601.3055608.

Faust, Louis, Cheng Wang, David Hachen, Omar Lizardo, and Nitesh V. Chawla. 2019. “Physical Activity Trend eXtraction: A Framework for Extracting Moderate-Vigorous Physical Activity Trends From Wearable Fitness Tracker Data.” JMIR mHealth and uHealth 7 (3): e11075. https://doi.org/10.2196/11075.

Fridmanski, E., Wood, M.L., Lizardo, O. and Hachen, D., 2020. Clustering in a newly forming social network by subjective perceptions of loneliness. Journal of American College Health, pp. 1-6.

Hossain, A., and C. Poellabauer. 2016. “Challenges in Building Continuous Smartphone Sensing Applications.” In 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 1–8. https://doi.org/10.1109/WiMOB.2016.7763202.

Liu, Shikang, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, and Tijana Milenković. 2018. “Network Analysis of the NetHealth Data: Exploring Co-Evolution of Individuals’ Social Network Positions and Physical Activities.” Applied Network Science 3 (1): 45. https://doi.org/10.1007/s41109-018-0103-2.

———. 2020. “The Power of Dynamic Social Networks to Predict Individuals’ Mental Health.” Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 25: 635–46. https://www.ncbi.nlm.nih.gov/pubmed/31797634.

Nigam, Aastha, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, and Nitesh V. Chawla. 2019. “ONE-M: Modeling the Co-Evolution of Opinions and Network Connections.” In Machine Learning and Knowledge Discovery in Databases, 122–40. Springer International Publishing. https://doi.org/10.1007/978-3-030-10928-8_8.

Purta, Rachael, Stephen Mattingly, Lixing Song, Omar Lizardo, David Hachen, Christian Poellabauer, and Aaron Striegel. 2016. “Experiences Measuring Sleep and Physical Activity Patterns Across a Large College Cohort with Fitbits.” In Proceedings of the 2016 ACM International Symposium on Wearable Computers, 28–35. ISWC ’16. New York, NY, USA: ACM. https://doi.org/10.1145/2971763.2971767.

Sepulvado, Brandon , Michael Wood , Ethan Fridmanski , Cheng Wang, Matthew J. Chandler , Omar Lizardo, and David Hachen.  Forthcoming. Predicting Homophily and Social Network Connectivity From Dyadic Behavioral Similarity Trajectory Clusters. Social Science Computer Review. 

Vhaduri, S., and C. Poellabauer. 2017. “Hierarchical Cooperative Discovery of Personal Places from Location Traces.” IEEE Transactions on Mobile Computing PP (99): 1–1. https://doi.org/10.1109/TMC.2017.2777838.

———. 2018a. “Impact of Different Pre-Sleep Phone Use Patterns on Sleep Quality.” In 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 94–97. https://doi.org/10.1109/BSN.2018.8329667.

———. 2018b. “Opportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data.” In 2018 IEEE International Conference on Healthcare Informatics (ICHI), 103–14. ieeexplore.ieee.org. https://doi.org/10.1109/ICHI.2018.00019.

———. 2019. “Multi-Modal Biometric-Based Implicit Authentication of Wearable Device Users.” IEEE Transactions on Information Forensics and Security 14 (12): 3116–25. https://doi.org/10.1109/TIFS.2019.2911170.

———. 2017a. “Towards Reliable Wearable-User Identification.” 2017 IEEE International Conference on Healthcare Informatics (ICHI). https://doi.org/10.1109/ichi.2017.17.

———. 2017b. “Wearable Device User Authentication Using Physiological and Behavioral Metrics.” 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). https://doi.org/10.1109/pimrc.2017.8292272.

Vhaduri, Sudip, Christian Poellabauer, Aaron Striegel, Omar Lizardo, and David Hachen. 2017. “Discovering Places of Interest Using Sensor Data from Smartphones and Wearables.” IEEE UIC, August.

Wang, Cheng, Omar Lizardo, and David S. Hachen. 2020. “Neither Influence nor Selection: Examining Co-Evolution of Political Orientation and Social Networks in the NetSense and NetHealth Studies.” PloS One 15 (5): e0233458. https://doi.org/10.1371/journal.pone.0233458.

Wang, Cheng, Omar Lizardo, and David S. Hachen. 2020. “Using Fitbit Data to Monitor the Heart Rate Evolution Patterns of College Students.” Journal of American College Health:, June, 1–8. https://doi.org/10.1080/07448481.2020.1775610.