Výsledky vyhledávání - "Gregory D Abowd"

Akademický článek

Leveraging Social Media to Predict COVID-19–Induced Disruptions to Mental Well-Being Among University Students: Modeling Study

Autor: Vedant Das Swain, Jingjing Ye, Siva Karthik Ramesh, Abhirup Mondal, Gregory D Abowd, Munmun De Choudhury

Publikováno v: JMIR Formative Research, Vol 8, p e52316 (2024)

BackgroundLarge-scale crisis events such as COVID-19 often have secondary impacts on individuals’ mental well-being. University students are particularly vulnerable to such impacts. Traditional survey-based methods to identify those in need of supp

Externí odkaz: https://doaj.org/article/353cb3d60cd74510829f5840a360fed5

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Akademický článek

Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype

Autor: Dong Whi Yoo, Sindhu Kiranmai Ernala, Bahador Saket, Domino Weir, Elizabeth Arenare, Asra F Ali, Anna R Van Meter, Michael L Birnbaum, Gregory D Abowd, Munmun De Choudhury

Publikováno v: JMIR Mental Health, Vol 8, Iss 11, p e25455 (2021)

BackgroundPrevious studies have suggested that social media data, along with machine learning algorithms, can be used to generate computational mental health insights. These computational insights have the potential to support clinician-patient commu

Externí odkaz: https://doaj.org/article/af729e3e51e8493e8c6714314049f008

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Akademický článek

Flexible computational photodetectors for self-powered activity sensing

Autor: Dingtian Zhang, Canek Fuentes-Hernandez, Raaghesh Vijayan, Yang Zhang, Yunzhi Li, Jung Wook Park, Yiyang Wang, Yuhui Zhao, Nivedita Arora, Ali Mirzazadeh, Youngwook Do, Tingyu Cheng, Saiganesh Swaminathan, Thad Starner, Trisha L. Andrew, Gregory D. Abowd

Publikováno v: npj Flexible Electronics, Vol 6, Iss 1, Pp 1-8 (2022)

Abstract Conventional vision-based systems, such as cameras, have demonstrated their enormous versatility in sensing human activities and developing interactive environments. However, these systems have long been criticized for incurring privacy, pow

Externí odkaz: https://doaj.org/article/fc2437ba72584cedaab6626464ab9e57

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Discussing Social Media During Psychotherapy Consultations: Patient Narratives and Privacy Implications

Autor: Dong Whi Yoo, Aditi Bhatnagar, Sindhu Kiranmai Ernala, Asra Ali, Michael L. Birnbaum, Gregory D. Abowd, Munmun De Choudhury

Publikováno v: Proceedings of the ACM on Human-Computer Interaction. 7:1-24

Social media platforms are being utilized by individuals with mental illness for engaging in self-disclosure, finding support, or navigating treatment journeys. Individuals also increasingly bring their social media data to psychotherapy consultation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ed7abbd8ca2c2def5094bcfee73450e8
https://doi.org/10.1145/3579479

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Akademický článek

Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables

Autor: Hyeokhyen Kwon, Gregory D. Abowd, Thomas Plötz

Publikováno v: Sensors, Vol 21, Iss 24, p 8337 (2021)

Supervised training of human activity recognition (HAR) systems based on body-worn inertial measurement units (IMUs) is often constrained by the typically rather small amounts of labeled sample data. Systems like IMUTube have been introduced that emp

Externí odkaz: https://doaj.org/article/aec88289a22f4786b2d2f1752b1c9845

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Empirical networks for localized COVID-19 interventions using WiFi infrastructure at university campuses

Autor: Vedant Das Swain, Jiajia Xie, Maanit Madan, Sonia Sargolzaei, James Cai, Munmun De Choudhury, Gregory D. Abowd, Lauren N. Steimle, B. Aditya Prakash

Publikováno v: Frontiers in Digital Health. 5

Infectious diseases, like COVID-19, pose serious challenges to university campuses, which typically adopt closure as a non-pharmaceutical intervention to control spread and ensure a gradual return to normalcy. Intervention policies, such as remote in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c3882d4d8eb2bb230b6ac463e0cd1dd

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