Jennifer C. Mankoff, Ph.D.
Affiliations: | 2001 | Georgia Institute of Technology, Atlanta, GA |
Area:
Computer ScienceGoogle:
"Jennifer Mankoff"Parents
Sign in to add mentorGregory D. Abowd | grad student | 2001 | Georgia Tech | |
(An architecture and interaction techniques for handling ambiguity in recognition -based input.) |
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Publications
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Creswell JD, Tumminia MJ, Price S, et al. (2023) Nightly sleep duration predicts grade point average in the first year of college. Proceedings of the National Academy of Sciences of the United States of America. 120: e2209123120 |
Dutcher JM, Lederman J, Jain M, et al. (2022) Lack of Belonging Predicts Depressive Symptomatology in College Students. Psychological Science. 9567976211073135 |
Nurius PS, Sefidgar YS, Kuehn KS, et al. (2021) Distress among undergraduates: Marginality, stressors and resilience resources. Journal of American College Health : J of Ach. 1-9 |
Morris ME, Kuehn KS, Brown J, et al. (2021) College from home during COVID-19: A mixed-methods study of heterogeneous experiences. Plos One. 16: e0251580 |
Price S, Chikersal P, Doryab A, et al. (2020) 0258 Early Semester Sleep Variability Predicts Depression Among College Students Sleep. 43: A98-A98 |
Sefidgar YS, Seo W, Kuehn KS, et al. (2019) Passively-sensed Behavioral Correlates of Discrimination Events in College Students. Proceedings of the Acm On Human-Computer Interaction. 3: 1-29 |
Doryab A, Villalba DK, Chikersal P, et al. (2019) Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data. Jmir Mhealth and Uhealth. 7: e13209 |
Baldwin MS, Hirano SH, Mankoff J, et al. (2019) Design in the Public Square Proceedings of the Acm On Human-Computer Interaction. 3: 1-22 |
Sefidgar YS, Seo W, Kuehn KS, et al. (2019) Passively-sensed Behavioral Correlates of Discrimination Events in College Students Proceedings of the Acm On Human-Computer Interaction. 3: 1-29 |
Xu X, Chikersal P, Doryab A, et al. (2019) Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students Proceedings of the Acm On Interactive, Mobile, Wearable and Ubiquitous Technologies. 3: 1-33 |