What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Software
Brian P. Bailey focuses on Human–computer interaction, Task, Workload, User interface and Crowdsourcing.
His Human–computer interaction research is multidisciplinary, incorporating perspectives in Resource, Multimedia, Real-time computing and Task analysis.
Brian P. Bailey has researched Multimedia in several fields, including Domain, Creativity, Interpretation and Formative assessment.
His Workload research is multidisciplinary, incorporating elements of Cognitive psychology and Simulation.
His biological study spans a wide range of topics, including Context, Software maintenance, Field and Code refactoring.
His research investigates the connection between Crowdsourcing and topics such as Component that intersect with issues in Design process.
His most cited work include:
- If not now, when?: the effects of interruption at different moments within task execution (405 citations)
- On the need for attention-aware systems : Measuring effects of interruption on task performance, error rate, and affective state (400 citations)
- Understanding changes in mental workload during execution of goal-directed tasks and its application for interruption management (247 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Human–computer interaction, Multimedia, Task, Knowledge management and Crowdsourcing.
While the research belongs to areas of Human–computer interaction, Brian P. Bailey spends his time largely on the problem of Creativity, intersecting his research to questions surrounding Set.
Brian P. Bailey interconnects Class, Context, Session and Peer feedback in the investigation of issues within Multimedia.
His work on Task analysis is typically connected to Management system as part of general Task study, connecting several disciplines of science.
Crowdsourcing is a subfield of World Wide Web that he studies.
In his research, Simulation is intimately related to Cognitive psychology, which falls under the overarching field of Workload.
He most often published in these fields:
- Human–computer interaction (42.57%)
- Multimedia (29.05%)
- Task (19.59%)
What were the highlights of his more recent work (between 2015-2021)?
- Crowdsourcing (11.49%)
- Multimedia (29.05%)
- Peer feedback (3.38%)
In recent papers he was focusing on the following fields of study:
Brian P. Bailey mainly focuses on Crowdsourcing, Multimedia, Peer feedback, Applied psychology and Human–computer interaction.
The study incorporates disciplines such as Lift, Task, Creativity and Social network in addition to Crowdsourcing.
His Task research includes themes of Ambiguity, Iterative and incremental development, Interpersonal relationship, Reflection and Psychological safety.
His Multimedia study combines topics from a wide range of disciplines, such as Session and Iterative design.
His Peer feedback research also works with subjects such as
- Coping and Distraction most often made with reference to Valence,
- Context that connect with fields like Class.
His Human–computer interaction study often links to related topics such as Helpfulness.
Between 2015 and 2021, his most popular works were:
- You Want Me to Work with Who?: Stakeholder Perceptions of Automated Team Formation in Project-based Courses (28 citations)
- Social Network, Web Forum, or Task Market?: Comparing Different Crowd Genres for Design Feedback Exchange (21 citations)
- Online Feedback Exchange: A Framework for Understanding the Socio-Psychological Factors (20 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Software
His primary scientific interests are in Crowdsourcing, Task, Multimedia, Crowds and Social network.
His Crowdsourcing research incorporates elements of Learning sciences, Peer feedback, Human–computer interaction and Online assessment.
His Peer feedback research incorporates themes from Context, World Wide Web, Helpfulness and Rubric.
His research integrates issues of Educational technology, Natural language and Set in his study of Human–computer interaction.
His Task research is multidisciplinary, relying on both Software deployment, Applied psychology and Affect.
His Multimedia study incorporates themes from Control, Ambiguity, Iterative and incremental development, Reflection and Iterative design.
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