What is he best known for?
The fields of study he is best known for:
- Cognition
- Artificial intelligence
- Statistics
Sébastien Tremblay mainly focuses on Cognition, Cognitive psychology, Memoria, Perception and Recall.
His Cognition research incorporates elements of Task and Conceptualization.
His Task study combines topics from a wide range of disciplines, such as Unmanned ground vehicle, Arousal, Social psychology and Perseveration.
His Cognitive psychology research includes elements of Function, Elementary cognitive task, Latent semantic analysis, Executive functions and Auditory stimulation.
Sébastien Tremblay works mostly in the field of Memoria, limiting it down to topics relating to Auditory perception and, in certain cases, Computer security, Audiology and Cockpit.
When carried out as part of a general Perception research project, his work on Attentional blink is frequently linked to work in Filler, Time lag and Homogeneous, therefore connecting diverse disciplines of study.
His most cited work include:
- Brain fuel metabolism, aging, and Alzheimer’s disease (355 citations)
- Auditory distraction and short-term memory: Phenomena and practical implications (192 citations)
- Using near infrared spectroscopy and heart rate variability to detect mental overload. (145 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Cognition, Cognitive psychology, Task, Recall and Human–computer interaction.
His Cognition research incorporates themes from Schizophrenia, Social psychology, Audiology, Distraction and Risk analysis.
As a part of the same scientific family, Sébastien Tremblay mostly works in the field of Cognitive psychology, focusing on Eye movement and, on occasion, Eye tracking.
His Task research integrates issues from Computer security and Artificial intelligence.
His Recall research is multidisciplinary, relying on both Spatial analysis, Communication, Visual memory, Sequence learning and Verbal memory.
His Human–computer interaction research is multidisciplinary, incorporating elements of Dynamic decision-making, Decision support system and Cognitive load.
He most often published in these fields:
- Cognition (24.60%)
- Cognitive psychology (23.81%)
- Task (17.86%)
What were the highlights of his more recent work (between 2017-2021)?
- Human–computer interaction (10.32%)
- Artificial intelligence (9.52%)
- Cognition (24.60%)
In recent papers he was focusing on the following fields of study:
Sébastien Tremblay focuses on Human–computer interaction, Artificial intelligence, Cognition, Machine learning and Context.
His Human–computer interaction research includes themes of Decision support system and Eye tracking.
His Cognition study incorporates themes from Risk analysis and Thalamus.
His work deals with themes such as Task, Task analysis and Detection performance, which intersect with Machine learning.
Adaptive video, Classifier and F1 score is closely connected to Affective computing in his research, which is encompassed under the umbrella topic of Context.
Sébastien Tremblay conducts interdisciplinary study in the fields of Order and Cognitive psychology through his research.
Between 2017 and 2021, his most popular works were:
- Links between metabolic and structural changes in the brain of cognitively normal older adults : a 4-year longitudinal follow-up (14 citations)
- Momentary lapse of control: A cognitive continuum approach to understanding and mitigating perseveration in human error (12 citations)
- The diagnosticity of psychophysiological signatures: Can we disentangle mental workload from acute stress with ECG and fNIRS? (5 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Statistics
His primary areas of study are Artificial intelligence, Machine learning, Cognitive psychology, Cognition and Human–computer interaction.
His Cognitive psychology study frequently links to related topics such as Verbal learning.
Sébastien Tremblay merges many fields, such as Cognition and Operator, in his writings.
His study looks at the intersection of Human–computer interaction and topics like Change detection with Eye tracking.
His studies in Eye tracking integrate themes in fields like Dynamic decision-making and Decision support system.
His study looks at the relationship between Affective computing and fields such as F1 score, as well as how they intersect with chemical problems.
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