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Inferring Mood Instability on Social Media by Leveraging Ecological Momentary Assessments
2017
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
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We propose a semi-supervised machine learning framework to combine small samples of data gathered through active sensing, with large-scale social media data to infer mood instability (MI) in individuals ...
Starting from a theoreticallygrounded measure of MI obtained from mobile ecological momentary assessments (EMAs), we show that our model is able to infer MI in a large population of Twitter users with ...
ACKNOWLEDGMENTS This research was supported by funds provided by the Human-facing Privacy Thrust of the IISP Institute at Georgia Tech. ...
doi:10.1145/3130960
fatcat:ch2qnshq4bhp3idoyncr45qcya
Spatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA)
2016
Social Psychiatry and Psychiatric Epidemiology
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Methods Building on the historical foundations of both ecological momentary assessment and geographic momentary assessment research, this review explores their emerging synergy into a more generalized ...
Conclusions Mobile communication devices are revolutionizing research on mental health and well-being by physically linking momentary experience sampling to objective measures of socio-ecological context ...
Wenze SJ, Miller IW (2010) Use of ecological momentary assessment in mood disorders research. Clin Psychol Rev 30:794-804. doi:10.1016/j.cpr.2010.06.007 41. ...
doi:10.1007/s00127-016-1277-5
pmid:27558710
pmcid:PMC5025488
fatcat:vbpffpywfzbzliuslgpxtnw2gu
Exploring a theory-guided path to the design of personal informatics and intervention technologies
2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15
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I am motivated by the idea that a person's innate attributes and current contexts interact in ways that produce idiosyncratic behaviors that generic interventions may not suit. ...
Using domain knowledge as a guide, my research develops lightweight profiling methods that leverage people's digital footprints in order to passively sense pertinent psychological, physiological, and behavioral ...
While most of my work to date has focused on system-driven approaches to personalization, I am also exploring novel forms of user-driven data capture by developing game-based ecological momentary assessments ...
doi:10.1145/2800835.2801646
dblp:conf/huc/Murnane15
fatcat:slrmcowevfhylb7ckmqdc336iq
LonelyText: A Short Messaging Based Classification of Loneliness
[article]
2021
arXiv
pre-print
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We present one approach to predicting this event by discovering patterns of language associated with loneliness. ...
Loneliness does not only have emotional implications on a person but also on his/her well-being. ...
Facebook), and Ecological Momentary Assessment (EMA) survey. ...
arXiv:2101.09138v1
fatcat:3xfad6atafb4jjaafnbnv4z6hq
Towards a Personalized Multi-Domain Digital Neurophenotyping Model for the Detection and Treatment of Mood Trajectories
2020
Sensors
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that can be used to infer the user's mental state and mood. ...
In this paper, we propose a multi-domain digital neurophenotyping model based on the socioecological model of health. ...
For example, according to the electronic ecological momentary assessment approach, continuous, real-time monitoring of various mood biomarkers using sensors and neuroimaging data-particularly electroencephalography ...
doi:10.3390/s20205781
pmid:33053889
fatcat:his37f72ibhcxdu7njy3dqksli
Circadian Computing: Sensing, Modeling, and Maintaining Biological Rhythms
[chapter]
2017
Mobile Health
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We use a combination of automated sensing of behavioral traits along with manual ecological momentary assessments (EMA) to model body clock patterns, detect disruptions, and drive in-situ interventions ...
Here we present Circadian Computing, technologies that are aware of and can have a positive impact on our internal rhythms. ...
Based on this data, we found that automated sensing can be used to infer key clinical markers of stability as assessed by SRM scores. ...
doi:10.1007/978-3-319-51394-2_3
fatcat:zorrlea2pjeafed3g2lf3riuy4
Measuring objective and subjective well-being: dimensions and data sources
2020
International Journal of Data Science and Analytics
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We also intend to shed light on still barely unexplored dimensions and data sources that could potentially contribute as a key for public policing and social development. ...
This paper aims to present the theoretical background of well-being, by distinguishing between objective and subjective approaches, their relevant dimensions, the new data sources used for their measurement ...
Acknowledgements This work was supported by the European Commission through the Horizon2020 European project "SoBigData Research Infrastructure-Big Data and Social Mining Ecosystem" (Grant Agreement 654024 ...
doi:10.1007/s41060-020-00224-2
fatcat:yll4cxgklrfqrgrd4h2ixtexne
Examining the Relationship Between the Use of a Mobile Peer-Support App and Self-Injury Outcomes: Longitudinal Mixed Methods Study
2021
JMIR Mental Health
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This study aims to investigate the relationship between behavioral and linguistic traces on a mobile peer support app and self-injury outcomes. ...
To our knowledge, this is the first study to connect naturally occurring log data to survey data assessing self-injury outcomes over time. ...
Acknowledgments This work was supported by the USDA National Institute of Food and Agriculture, Hatch project 1004268 and the Cornell Center for Social Sciences. ...
doi:10.2196/21854
pmid:33507154
pmcid:PMC7878111
fatcat:dwpkdch7irc2vfnba7s7l3e624
Towards automated symptoms assessment in mental health
[article]
2019
arXiv
pre-print
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The framework defines methods for direct computational analysis of symptoms in disorganisation and psychomotor dimensions, as well as measures for indirect assessment of mood, using patterns of physical ...
The research presented in this thesis has focused on the identification of objective activity and behaviour metrics that could be useful for the analysis of mental health symptoms in the above mentioned ...
Monitoring of symptoms was performed in a paradigm of Ecological
Momentary Assessments (EMA), by providing daily mood rating requests (Santos et al.,
2012). ...
arXiv:1908.06013v1
fatcat:7smpoutewvg27p5e3kwprg7xse
ACNP 59th Annual Meeting: Poster Session III
2020
Neuropsychopharmacology
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These data suggest that symptom chronicity may have a moderating effect on immune activation and its relationship with white matter connections in fronto-limbic pathways. ...
Conclusions: These findings indicate distinct associations between white matter connectivity and CRP that may be moderated by chronicity of PTSD. ...
All participants also provided 6 days of ecological momentary assessment (EMA) data on their mood and activities in their everyday environment. ...
doi:10.1038/s41386-020-00892-5
pmid:33279936
pmcid:PMC7735201
fatcat:mip4ywutfnfwvmye4u65i6vgg4
ACNP 58th Annual Meeting: Panels, Mini-Panels and Study Groups
2019
Neuropsychopharmacology
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In parallel, two analogues were assayed in brain slices using genetically-encoded optical sensors for dynorphin developed by Lin Tian's lab at UC Davis. ...
Both caged Dyn-8 variants yielded robust photoactivation of GIRK currents in brain slices (tau-on: CYD8 = 241 ms, nMNVOC-D8 = 437 ms at 32°C). ...
making randomly prompted (RP) ecological momentary assessment (EMA) entries. ...
doi:10.1038/s41386-019-0544-z
pmid:31801977
pmcid:PMC6957922
fatcat:hjyvf7fcpbf2fhxit6rlhsvg2y
Issue 29 Introduction: Computing the City
2017
Fibreculture Journal
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The history of locative media as accounted for by Leorke serves as one precursor to the development of urban informatics (see Foth, 2009). ...
The threat of fetishising technology can be prevented by conceiving of technology as no longer separate from sociality. ...
Acknowledgements My thanks to two anonymous reviewers for their feedback on this article, even if we at times disagreed. ...
doi:10.15307/fcj.29.212.2017
fatcat:zoqi2hu5frhyxfmdsmqktyrxiq
Final_Appendix_1_2018-01-22 – Supplemental material for A Review of Mental Health and Mental Health Care Disparities Research: 2011-2014
2018
Figshare
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Supplemental material, Final_Appendix_1_2018-01-22 for A Review of Mental Health and Mental Health Care Disparities Research: 2011-2014 by Benjamin Lê Cook, Sherry Shu-Yeu Hou, Su Yeon Lee-Tauler, Ana ...
DESIGN: Data were collected using an ecological momentary assessment protocol with cellular telephone-based brief interviews. ...
Stokols' Social Ecological Framework. ...
doi:10.25384/sage.6462656
fatcat:jgyla7xe2zcuvgcfyvjpmx7jfy
Delivering transformative action in paediatric pain: a Lancet Child & Adolescent Health Commission
2020
The Lancet Child & Adolescent Health
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Finally, we should be more focussed on assessing outcomes that are important to patients, rather than those that are central to researchers and clinicians. ...
Pain is multifactorial, and influenced by biological, psychological and social factors, making it complex and difficult to treat effectively, especially in infants, children and adolescents. ...
Finally, we would like to thank the editors and peer reviewers for their helpful comments on the manuscript. ...
doi:10.1016/s2352-4642(20)30277-7
pmid:33064998
fatcat:bbqvzzfei5cwpd4i5ggmv7tp3a
The Development and Evaluation of an Ecological Momentary Intervention for Social Anxiety
[article]
2018
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Ecological Momentary Assessments (EMA) are real-time approaches that allow a person to self-assess their anxiety while they engage in daily activities. ...
Ecological Momentary Interventions (EMI) are approaches that extend EMA to deliver psychological treatment to people in their natural environment. ...
These approaches are Ecological
Momentary Assessments (EMA) and Ecological Momentary Interventions (EMI). ...
doi:10.25911/5d5146acd09cc
fatcat:rjwnkiuea5hrbhxvjffzl7e3oe
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