Usable and Reliable Consumer-Facing Mobile Health Applications

There have been increasing number of mobile health applications available for general population. However, the usability and inproper guidance could result in suboptimal performance, if worse, misdiagnosis. To minimize human error in self-diagnosis using mobile phones, I have been building an smartphone application to guide users to perform the task correctly in real-time using computer vision techniques. I am also exploring a method to ensure sensor inputs (e.g., image, audio, accelerometer) are compatible for the machine learning models to perform at its best performance.

Understanding People’s Well-Being from Passively Sensed Data

Sleep is critical to human function, mediating factors like memory, mood, energy, and alertness. Although it is commonly conjectured that a good night’s sleep is important for job performance, this relationship has historically been hard to quantify due to the difficulty of capturing objective measures in real-world contexts. We have explored the relationship between sleep and job performance in the wild, and sleep and sleep tracking app. Also, we have also explored the feasiblity of using mobile app interaction time as an indicator of sleep behavior and job performance

Augmenting Ambient Contexts to Various Applications

Context awareness provides better understanding of user, which can be used in many different ways. I've explore augmenting ambient acoustic contexts to conversational agents to extend the capability of the existing smart speakers. I've also worked on non-textual communication application that recommends avatars that represent user's current state so that users can simply select and tap to share their states with friends and family. Lastly, I've explored using users' subtle motion to provide seamless content sharing experience across different devices

Reliable and Trustworthy Machine Learning for Health Using Dataset Shift (To Appear)
Chunjong Park, Anas Awadalla, Tadayoshi Kohno, Shwetak Patel
Conference on Neural Information Processing Systems (NeurIPS), December, 2021 [pdf]

Air Constellations: In-Air Device Formations for Cross-Device Interaction via Multiple Spatially-Aware Armatures
Nicolai Marquardt, Nathalie Henry Riche, Christian Holz, Hugo Romat, Michel Pahud, Frederik Brudy, David Ledo, Chunjong Park, Molly Jane Nicholas, Teddy Seyed, Eyal Ofek, Bongshin Lee, William A. S. Buxton, and Ken Hinckley
ACM Symposium on User Interface Software and Technology (UIST), October, 2021 [pdf]

RDTCheck: A Smartphone App for Monitoring Rapid Diagnostic Test Administration
Devesh Sarda, Chunjong Park, Hung Ngo, Alex Mariakakis, Shwetak Patel
ACM Conference on Human Factors in Computing Systems (CHI) Late-Breaking Work, May, 2021 [pdf]

Significant Otter: Understanding the Role of Biosignals in Communication
Fannie Liu, Chunjong Park, Yu Jiang Tham, Tsung-Yu Tsai, Laura Dabbish, Geoff Kaufman, Andrés Monroy-Hernández
ACM Conference on Human Factors in Computing Systems (CHI), May, 2021 [pdf]

Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance
Chunjong Park*, Morelle Arian*, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak Patel, Alex Mariakakis, Tim Althoff
The Web Conference (WWW), April, 2021 [pdf]

The Design and Evaluation of a Mobile System for Rapid Diagnostic Test Interpretation
Chunjong Park, Hung Ngo, Libby Rose Lavitt, Vincent Karuri, Shiven Bhatt, Peter Lubell-Doughtie, Anuraj H. Shankar, Leonard Ndwiga, Victor Osoti, Juliana K. Wambua, Philip Bejon, Lynette Isabella Ochola-Oyier, Monique Chilver, Nigel Stocks, Victoria Lyon, Barry R. Lutz, Matthew Thompson, Alex Mariakakis, Shwetak Patel
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), March, 2021 [pdf]

Diagnostic accuracy of an app-guided, self-administered test for influenza among individuals presenting to general practice with influenza-like illness: study protocol
Victoria Lyon, Monica Zigman Suchsland, Monique Chilver, Nigel Stocks, Barry Lutz, Philip Su, Shawna Cooper, Chunjong Park, Libby Rose Lavitt, Alex Mariakakis, Shwetak Patel, Chelsey Graham, Mark Rieder, Cynthia LeRouge, Matthew Thompson
BMJ Open, November, 2020 [pdf]

Augmenting Conversational Agents with Ambient Acoustic Contexts
Chunjong Park, Chulhong Min, Sourav Bhattacharya, Fahim Kawsar
ACM International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), October, 2020 [pdf] [website]

Supporting Samrtphone-Based Image Capture of Rapid Diagnostic Tests in Low-Resource Settings
Chunjong Park, Alex Mariakakis, Jane Yang, Diego Lassala, Yasamba Djiguiba, Youssouf Keita, Hawa Diarra, Beatrice Wasunna, Fatou Fall, Marème Soda Gaye, Bara Ndiaye, Ari Johnson, Isaac Holeman, Shwetak Patel
International Conference on Information and Communication Technologies and Development (ICTD), June, 2020 [pdf]

Fire in Your Hands: Understanding Thermal Behavior of Smartphones
Soowon Kang, Hyeonwoo Choi, Soo Young Park, Chunjong Park, Jemin Lee, Uichin Lee, and Sung-Ju Lee
ACM Conference on Conference on Mobile Computing and Networking (MobiCom), October, 2019 [pdf]

Zaturi: We Put Together the 25th Hour for You. Create a Book for Your Baby
Bumsoo Kang, Chulhong Min, Wonjung Kim, Inseok Hwang, Chunjong Park, Seungchul Lee, Sung-Ju Lee, and Junehwa Song
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), February, 2017 [pdf]

“Don’t Bother Me. I’m Socializing!”: A Breakpoint-Based Smartphone Notification System
Chunjong Park, Junsung Lim, Juho Kim, Sung-Ju Lee, and Dongman Lee
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), February, 2017 [pdf]

DX: Accurate Latency-based Congestion Feedback for Datacenters
Changhyun Lee, Chunjong Park, Keon Jang, Sue Moon, and Dongsu Han
IEEE/ACM Transaction on Networking, February, 2017 [pdf]

Accurate Latency-based Congestion Feedback for Datacenters
Changhyun Lee, Chunjong Park, Keon Jang, Sue Moon, and Dongsu Han
USENIX Annual Technical Conference (ATC), July, 2015 [pdf]