What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- The Internet
Human–computer interaction, Ubiquitous computing, Multimedia, Context-aware pervasive systems and Variety are his primary areas of study.
His Human–computer interaction study integrates concerns from other disciplines, such as Software deployment, User interface, Context awareness, Software architecture and Focus.
His User interface study incorporates themes from Information technology, Context model, Interactive computing and Software, Application software.
The study incorporates disciplines such as Service, Computer security, Telecommunications, Mobile computing and World Wide Web in addition to Ubiquitous computing.
Gregory D. Abowd combines subjects such as Mobile context, Learning experience and Interaction design with his study of Multimedia.
His studies deal with areas such as Security policy, Information and Communications Technology and Data science as well as Variety.
His most cited work include:
- Towards a Better Understanding of Context and Context-Awareness (3765 citations)
- A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications (2627 citations)
- Human-Computer Interaction (1656 citations)
What are the main themes of his work throughout his whole career to date?
Human–computer interaction, Ubiquitous computing, Multimedia, Artificial intelligence and World Wide Web are his primary areas of study.
His Human–computer interaction research integrates issues from Variety, User interface, Mobile device and Gesture.
His Context-aware pervasive systems study, which is part of a larger body of work in Ubiquitous computing, is frequently linked to Ubiquitous robot, bridging the gap between disciplines.
Gregory D. Abowd merges many fields, such as Context-aware pervasive systems and End-user computing, in his writings.
He has researched Artificial intelligence in several fields, including Machine learning, Wearable computer and Computer vision.
He most often published in these fields:
- Human–computer interaction (28.01%)
- Ubiquitous computing (27.55%)
- Multimedia (17.82%)
What were the highlights of his more recent work (between 2015-2021)?
- Wearable computer (8.33%)
- Artificial intelligence (12.50%)
- Human–computer interaction (28.01%)
In recent papers he was focusing on the following fields of study:
Gregory D. Abowd focuses on Wearable computer, Artificial intelligence, Human–computer interaction, Gesture and Inertial measurement unit.
His work on Ubiquitous computing expands to the thematically related Wearable computer.
The concepts of his Ubiquitous computing study are interwoven with issues in World Wide Web and Data science.
His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Computer vision.
His research on Human–computer interaction frequently connects to adjacent areas such as Mobile device.
His Gesture study combines topics in areas such as Speech recognition, Computer hardware, Smartwatch and Multimedia.
Between 2015 and 2021, his most popular works were:
- EarBit: Using Wearable Sensors to Detect Eating Episodes in Unconstrained Environments (72 citations)
- Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications (52 citations)
- Inferring Mood Instability on Social Media by Leveraging Ecological Momentary Assessments (41 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- The Internet
His main research concerns Wearable computer, Artificial intelligence, Human–computer interaction, Computer vision and Smartwatch.
The concepts of his Wearable computer study are interwoven with issues in Activity recognition, Applied psychology, Reconstruction method and Accelerometer.
All of his Human–computer interaction and Ubiquitous computing and Virtual reality investigations are sub-components of the entire Human–computer interaction study.
His Ubiquitous computing research integrates issues from Technological change, Cloud computing and Data science.
His research in Computer vision intersects with topics in Speech recognition and Distraction.
His Smartwatch research is multidisciplinary, incorporating perspectives in Acoustics, Movement, Tracking, Touchscreen and Wearable technology.
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