His primary areas of study are Human–computer interaction, Work, World Wide Web, Personal informatics and Machine learning. His Human–computer interaction research incorporates themes from Context and Statistical model. The concepts of his Context study are interwoven with issues in Reliability and Feature selection.
His World Wide Web research is multidisciplinary, incorporating perspectives in Java and Application programming interface. Personal informatics is frequently linked to Data science in his study. He interconnects Artificial intelligence and Social network in the investigation of issues within Machine learning.
His primary scientific interests are in Human–computer interaction, World Wide Web, Artificial intelligence, Machine learning and Personal informatics. In his research, Reverse engineering is intimately related to User interface, which falls under the overarching field of Human–computer interaction. His World Wide Web research is multidisciplinary, relying on both Information extraction and Internet privacy.
His work in Active learning and Concept learning are all subfields of Machine learning research. His Personal informatics research incorporates elements of Applied psychology and Data science. His Self tracking research spans across into areas like Everyday life and Knowledge management.
James Fogarty spends much of his time researching Human–computer interaction, Tracking, Self tracking, Data collection and Screen reader. The Human–computer interaction study combines topics in areas such as Orientation, Instrumentation and Statistical model. Other disciplines of study, such as Personal informatics, Personal health, Self-monitoring, Family dynamics and Dreamcatcher, are mixed together with his Tracking studies.
His research in Personal informatics intersects with topics in Clinical screening and Applied psychology. His biological study spans a wide range of topics, including Object, Visualization and Software development. James Fogarty has researched Android in several fields, including Software deployment, Image based, Information retrieval, Mobile apps and Source code.
James Fogarty mainly investigates Tracking, Personal informatics, Medical education, Applied psychology and Self tracking. His Tracking study spans across into areas like Participatory design, Informatics, Family health, Multimedia and Personal health. His Personal informatics study incorporates themes from Young adult and Menopause.
His work carried out in the field of Medical education brings together such families of science as Context, Irritable bowel syndrome and Food diary. His study brings together the fields of Simulation and Applied psychology. His work in Self tracking incorporates the disciplines of Comprehension, Lived experience, Field, Personally identifiable information and MEDLINE.
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Predicting human interruptibility with sensors
James Fogarty;Scott E. Hudson;Christopher G. Atkeson;Daniel Avrahami.
ACM Transactions on Computer-Human Interaction (2005)
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
Scott Hudson;James Fogarty;Christopher Atkeson;Daniel Avrahami.
human factors in computing systems (2003)
A lived informatics model of personal informatics
Daniel A. Epstein;An Ping;James Fogarty;Sean A. Munson.
ubiquitous computing (2015)
Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition
James Fogarty;Carolyn Au;Scott E. Hudson.
user interface software and technology (2006)
HydroSense: infrastructure-mediated single-point sensing of whole-home water activity
Jon E. Froehlich;Eric Larson;Tim Campbell;Conor Haggerty.
ubiquitous computing (2009)
Barriers and Negative Nudges: Exploring Challenges in Food Journaling
Felicia Cordeiro;Daniel A. Epstein;Edison Thomaz;Elizabeth Bales.
human factors in computing systems (2015)
CueFlik: interactive concept learning in image search
James Fogarty;Desney Tan;Ashish Kapoor;Simon Winder.
human factors in computing systems (2008)
Presence versus availability: the design and evaluation of a context-aware communication client
James Fogarty;Jennifer Lai;Jim Christensen.
International Journal of Human-computer Studies / International Journal of Man-machine Studies (2004)
Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools
Daniel A. Epstein;Nicole B. Lee;Jennifer H. Kang;Elena Agapie.
human factors in computing systems (2017)
Beyond Abandonment to Next Steps: Understanding and Designing for Life after Personal Informatics Tool Use
Daniel A. Epstein;Monica Caraway;Chuck Johnston;An Ping.
human factors in computing systems (2016)
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