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In Human-Computer Interaction (HCI) research, top-tier conferences are highly selective with often less than 30% acceptance rate. Papers in those conferences are considered as top research contributions with impact comparable to journal articles.
This page lists my most recent work. My cv provides a complete listing with more details (e.g., acceptance rate).
- Circadian Computing: sensing, modeling, and maintaining Biological Rhythms
Mobile Health (Springer), 2017 • [project] • [doi] • [pdf]
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Personalized stress monitoring: a smartphone-enabled system for quantification of salivary cortisol
Personal and Ubiquitous Computing (Springer) • [project] • [doi] • [pdf] -
Sensing technologies for monitoring serious mental illnesses
IEEE Multimedia, 2018 • [project] • [doi] • [pdf] -
Semi-automated tracking: a balanced approach for self-monitoring applications
IEEE Pervasive Computing, 2017 • [project] • [doi] • [pdf] -
Development and evaluation of a smartphone-based measure of social rhythms for bipolar disorder
Assessment, 2016 • [project] • [doi] • [pdf] -
Automatic detection of social rhythms in bipolar disorder
JAMIA, 2015 • [project] • [doi] • [pdf] -
Mobile behavioral sensing for outpatients and inpatients with schizophrenia
Psychiatric Services, 2015 • [project] • [doi] • [pdf] -
Tracking mental well-being: balancing rich sensing and patient needs
IEEE Computer, 2014 • [project] • [doi] • [pdf]
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AlertnessScanner: What Do Your Pupils Tell About Your Alertness
MobileHCI, 2018 • [project] • [doi] • [pdf] -
Understanding challenges in prehabilitation for patients with multiple chronic conditions
Pervasive Health, 2018 • [project] • [doi] • [pdf] -
Cognitive rhythms: Unobtrusive and continuous sensing of alertness using a mobile phone
UbiComp, 2016 • [project] • [doi] • [pdf] -
Shining (blue) light on creative ability
UbiComp, 2016 • [project] • [doi] • [pdf] -
CrossCheck: Toward passive sensing and detection of mental health changes in people with schizophrenia
UbiComp, 2016 • [project] • [doi] • [pdf] -
Mobile manifestations of alertness: Connecting biological rhythms with patterns of smartphone app use
MobileHCI, 2016 • [project] • [doi] • [pdf] -
Detecting and capitalizing on physiological dimensions of psychiatric illness
PhyCS, 2016 • [project] • [doi] • [pdf] -
Social (media) jet lag: How usage of social technology can modulate and reflect circadian rhythms
UbiComp, 2015 • [project] • [doi] • [pdf] -
In-situ design for mental illness: considering the pathology of bipolar disorder in mHealth design
MobileHCI, 2015 • [project] • [doi] • [pdf] -
Collective smile: measuring societal happiness from geolocated images
CSCW, 2015 • [project] • [doi] • [pdf] -
MoodLight: Exploring personal and social implications of ambient display of biosensor data
CSCW, 2015 • [project] • [doi] • [pdf] -
Towards Circadian Computing: "early to bed and early to rise" makes some of us unhealthy and sleep deprived
UbiComp, 2014 • [project] • [doi] • [pdf] -
Towards population scale activity recognition: a scalable framework for handling data diversity
AAAI, 2012 • [project] • [link] • [pdf] -
An epidemic model for news spreading on twitter
ICTAI, 2011 • [project] • [doi] • [pdf]
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Conversational agents to provide couple therapy for patients with PTSD
Pervasive Health, 2018 (WellBeCoach) • [project] • [doi] • [pdf] -
Supporting constructive mental health discourse in social media
Pervasive Health, 2018 (Design4Diversity) • [project] • [doi] • [pdf] -
Assessing mental health issues on college campuses: preliminary findings from a pilot study
UbiComp, 2016 • [project] • [doi] • [pdf] -
Towards circadian computing: a sensing & intervention framework for body clock friendly technology
UbiComp, 2015 (Doctoral Colloquium) • [project] • [doi] • [pdf] -
Circadian Computing: Towards bodyclock friendly technology
HCIC: Human Computer Interaction Consortium Workshop, 2014 • [project] • [pdf] -
Biological rhythms and technology
CHI, 2014 • [project] • [doi] • [pdf] -
Light, color, affect, and stress
4S: Society for Social Studies of Science, 2013 -
Clockwise: inferring chronotype and daily patterns from smartphone use
UbiComp, 2013 (Doctoral Colloquium) • [project] • [pdf]
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Automatic detection of social rhythms in bipolar disorder via smartphone
American College of Neuropsychopharmacology, 2015 • [project] • [pdf] -
SAINT: a scalable sensing and inference toolkit
ACM HotMobile, 2015 • [pdf] -
Towards circadian computing: "early to bed and early to rise" makes some of us unhealthy and sleep deprived
Intel Science and Technology Center for Pervasive Computing (ISTC-PC), 2014 • [project] • [pdf] -
Developing a smartphone app to monitor mood, social rhythms, sleep and social activity: technology to support effective management of bipolar disorder
American College of Neuropsychopharmacology (ACNP), 2013 • [project] • [pdf] -
MoodRhythm: Tracking and supporting daily rhythms
Interactive demo in UbiComp, 2013 • [project] • [doi] • [pdf] -
Towards population scale activity recognition: a framework for handling data diversity
Intel Science and Technology Center for Pervasive Computing (ISTC-PC), 2012 • [project]