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2020 – today
- 2025
[j6]Hossein Khayami
, Lining Wang, Young-Ho Kim, Bongshin Lee, David E. Conroy, Amanda Lazar, Eun Kyoung Choe, Hernisa Kacorri:
From Verbal Reports to Personalized Activity Trackers: Understanding the Challenges of Ground Truth Data Collection with Older Adults in the Wild. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 9(2): 38:1-38:33 (2025)- [c7]Zhengxing Li, Sahand Kiani, Constantino M. Lagoa, David E. Conroy:
A Risk Minimization Approach to Messaging Intervention for Physical Activity. ACC 2025: 2740-2747 - [c6]Amelia Short, Norman Makoto Su, Ruipu Hu, Eun Kyoung Choe, Hernisa Kacorri, Margaret K. Danilovich, David E. Conroy, Shannon Jette, Beth Barnett, Amanda Lazar:
Tracking and its Potential for Older Adults with Memory Concerns. CHI 2025: 1035:1-1035:15 - 2024
- [c5]Yiwen Wang, Mengying Li, Young-Ho Kim, Bongshin Lee, Margaret K. Danilovich, Amanda Lazar, David E. Conroy, Hernisa Kacorri, Eun Kyoung Choe:
Redefining Activity Tracking Through Older Adults' Reflections on Meaningful Activities. CHI 2024: 465:1-465:15 - 2022
- [j5]Samuel L. Battalio, Angela Fidler Pfammatter, Kiarri N. Kershaw, Alexis Hernandez, David E. Conroy, Bonnie Spring:
Mobile Health Tobacco Cessation Interventions to Promote Health Equity: Current Perspectives. Frontiers Digit. Health 4 (2022) - [c4]Young-Ho Kim, Diana Chou, Bongshin Lee, Margaret K. Danilovich, Amanda Lazar, David E. Conroy, Hernisa Kacorri, Eun Kyoung Choe:
MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech. CHI 2022: 416:1-416:21 - [i2]Young-Ho Kim, Diana Chou, Bongshin Lee, Margaret K. Danilovich, Amanda Lazar, David E. Conroy, Hernisa Kacorri, Eun Kyoung Choe:
MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech. CoRR abs/2204.00145 (2022) - 2021
- [j4]Sahar Hojjatinia, Elyse R. Daly, Timothy Hnat, Syed Monowar Hossain, Santosh Kumar, Constantino M. Lagoa, Inbal Nahum-Shani, Shahin Alan Samiei, Bonnie Spring, David E. Conroy:
Dynamic models of stress-smoking responses based on high-frequency sensor data. npj Digit. Medicine 4 (2021) - [i1]Ibrahim E. Bardakci, Sahar Hojjatinia, Sarah Hojjatinia, Constantino M. Lagoa, David E. Conroy:
Model Predictive Control approach to adaptive messaging intervention for physical activity. CoRR abs/2108.11499 (2021)
2010 – 2019
- 2019
- [c3]Keum San Chun, Ashley B. Sanders, Rebecca Adaimi, Necole Streeper, David E. Conroy, Edison Thomaz:
Towards a generalizable method for detecting fluid intake with wrist-mounted sensors and adaptive segmentation. IUI 2019: 80-85 - 2018
- [j3]Xiao Yang, Nilam Ram, Scott D. Gest, David M. Lydon-Staley, David E. Conroy, Aaron L. Pincus, Peter C. M. Molenaar:
Socioemotional Dynamics of Emotion Regulation and Depressive Symptoms: A Person-Specific Network Approach. Complex. 2018: 5094179:1-5094179:14 (2018) - [c2]Yuhan Luo, Bongshin Lee, Donghee Yvette Wohn, Amanda L. Rebar, David E. Conroy, Eun Kyoung Choe:
Time for Break: Understanding Information Workers' Sedentary Behavior Through a Break Prompting System. CHI 2018: 127 - 2017
- [j2]Suppawong Tuarob, Conrad S. Tucker, Soundar R. T. Kumara, C. Lee Giles, Aaron L. Pincus, David E. Conroy, Nilam Ram:
How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information. J. Biomed. Informatics 68: 1-19 (2017) - 2016
- [c1]Mahmoud E. Ashour, Korkut Bekiroglu, Chih-Hsiang Yang, Constantino Lagoa, David E. Conroy, Joshua M. Smyth, Stephanie T. Lanza:
On the mathematical modeling of the effect of treatment on human physical activity. CCA 2016: 1084-1091 - 2015
- [j1]Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, J. Gayle Beck, Duen Horng Chau, Tyson Condie, David E. Conroy, Emre Ertin, Deborah Estrin, Deepak Ganesan, Cho Lam, Benjamin M. Marlin, Clay B. Marsh, Susan A. Murphy, Inbal Nahum-Shani, Kevin Patrick, James M. Rehg, Moushumi Sharmin, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter:
Center of excellence for mobile sensor data-to-knowledge (MD2K). J. Am. Medical Informatics Assoc. 22(6): 1137-1142 (2015)
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