Zobrazeno 1 - 10
of 294
pro vyhledávání: '"Andrew T. Campbell"'
Autor:
Felipe Taliar Giuntini, Kaue L. de Moraes, Mirela T. Cazzolato, Luziane de Fatima Kirchner, Maria de Jesus D. Dos Reis, Agma J. M. Traina, Andrew T. Campbell, Jo Ueyama
Publikováno v:
IEEE Access, Vol 9, Pp 93182-93194 (2021)
The way users interact on social media can indicate their well-being. When depressed, people’s feelings tend to be more evident, affecting how users interact and demonstrating their feelings on social media. This paper presents a new approach for t
Externí odkaz:
https://doaj.org/article/64af8f4056574d1e9da5da689ede2c27
Autor:
Felipe Taliar Giuntini, Kaue L. P. de Moraes, Mirela T. Cazzolato, Luziane de Fatima Kirchner, Maria de Jesus D. Dos Reis, Agma J. M. Traina, Andrew T. Campbell, Jo Ueyama
Publikováno v:
IEEE Access, Vol 9, Pp 97621-97635 (2021)
Depression is one of the most growing health disorders, generating social and economic problems. The affective computing models focus on analyzing unique user posts, not observing temporal behavior patterns, which are essential to track changes and t
Externí odkaz:
https://doaj.org/article/5f870a39207849bb99a84095b2e77bc7
Autor:
Benjamin Buck, Kevin A. Hallgren, Andrew T. Campbell, Tanzeem Choudhury, John M. Kane, Dror Ben-Zeev
Publikováno v:
Frontiers in Psychiatry, Vol 12 (2021)
Theoretical views and a growing body of empirical evidence suggest that psychiatric relapses in schizophrenia-spectrum disorders (SSDs) have measurable warning signs. However, because they are time- and resource-intensive, existing assessment approac
Externí odkaz:
https://doaj.org/article/9fb7ca5cfdc64074ac972c41eeda74e8
Autor:
Joshua Waimberg, JD, Lindsay K. Cloud, JD, Andrew T. Campbell, JD, Ruth Lindberg, MPH, MUP, Keshia M. Pollack, PHD, MPH
Publikováno v:
Chronicles of Health Impact Assessment, Vol 3, Iss 1, Pp 1-10 (2018)
Background: To collect and analyze state-level Health Impact Assessment (HIA) legislative activity. Methods: Two longitudinal datasets examining state-level HIA legislation across the United States between January 1, 2012 and December 31, 2016 wer
Externí odkaz:
https://doaj.org/article/0eb7231657fc4b30a3534777280562df
Autor:
Jeremy F. Huckins, Alex W. daSilva, Rui Wang, Weichen Wang, Elin L. Hedlund, Eilis I. Murphy, Richard B. Lopez, Courtney Rogers, Paul E. Holtzheimer, William M. Kelley, Todd F. Heatherton, Dylan D. Wagner, James V. Haxby, Andrew T. Campbell
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
As smartphone usage has become increasingly prevalent in our society, so have rates of depression, particularly among young adults. Individual differences in smartphone usage patterns have been shown to reflect individual differences in underlying af
Externí odkaz:
https://doaj.org/article/ed6fd931d18d4b17aef736940ac52c39
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/4ef6797ff8df48f9a4b5b093fbfb46aa
Autor:
Amanda C Collins, Damien Lekkas, Matthew David Nemesure, Tess Z. Griffin, George Price, Arvind Pillai, Subigya Nepal, Michael V. Heinz, Andrew T. Campbell, Nicholas C. Jacobson
Background: Depressed individuals experience fewer positive and more negative emotions and use fewer positive words to describe themselves. Natural language processing (NLP) techniques have been used to predict depression, with pronoun usage and posi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e670049028d78aa535bdd0d3a5e0dca6
https://doi.org/10.31234/osf.io/vwpd8
https://doi.org/10.31234/osf.io/vwpd8
Autor:
Shayan Mirjafari, Aaron Striegel, Subigya Nepal, Andrew T. Campbell, Gonzalo J. Martinez, Vedant Das Swain, Pino G. Audia, Stephen M. Mattingly
Publikováno v:
IEEE Pervasive Computing. 20:52-60
Commuting to and from work presents daily stressors for most workers. It is typically demanding in terms of time and cost, and can impact people’s mental health, job performance, and, broadly speaking, personal life. We use mobile phones and wearab
Autor:
Andrew T. Campbell, Koustuv Saha, Nitesh V. Chawla, Aaron Striegel, Gonzalo J. Martinez, Subigya Nepal, Pino G. Audia, Hessam Bagherinezhad, Anind K. Dey, Shayan Mirjafari, Mikio Obuchi
Publikováno v:
IEEE Pervasive Computing. 20:43-51
We hypothesize that behavioral patterns of people are reflected in how they interact with their mobile devices and that continuous sensor data passively collected from their phones and wearables can infer their job performance. Specifically, we study
Autor:
Eilis I Murphy, Elin Hedlund, Alex W. daSilva, Weichen Wang, Courtney Rogers, Shayan Mirjafari, Andrew T. Campbell, Mikio Obuchi, Jeremy F. Huckins, Paul E. Holtzheimer
Publikováno v:
Proc ACM Interact Mob Wearable Ubiquitous Technol
Brain circuit functioning and connectivity between specific regions allow us to learn, remember, recognize and think as humans. In this paper, we ask the question if mobile sensing from phones can predict brain functional connectivity. We study the b