What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Software
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 most cited work include:
- Predicting human interruptibility with sensors (313 citations)
- Predicting human interruptibility with sensors: a Wizard of Oz feasibility study (273 citations)
- Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition (185 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Human–computer interaction (31.34%)
- World Wide Web (13.43%)
- Artificial intelligence (11.19%)
What were the highlights of his more recent work (between 2016-2021)?
- Human–computer interaction (31.34%)
- Tracking (7.46%)
- Self tracking (7.46%)
In recent papers he was focusing on the following fields of study:
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.
Between 2016 and 2021, his most popular works were:
- Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools (98 citations)
- When Personal Tracking Becomes Social: Examining the Use of Instagram for Healthy Eating (66 citations)
- From Personal Informatics to Family Informatics: Understanding Family Practices around Health Monitoring (61 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Software
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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