Annotated Bibliography: Cognitive Workload of Aviators with Various Levels of Experience
Abstract
This annotated bibliography serves as a reference document for an upcoming systematic literature review on composite cognitive workload assessment in the aviation domain. In this review, studies focusing on testing experienced pilots working in aviation platforms (simulators and real aircraft) were analyzed. This focus was chosen in an effort to control for individual difference and task demand factors that can affect cognitive workload across studies (ideally reducing the variance expected from untrained subjects engaging in novel tasks). For each reviewed article, the experience levels of pilots (as defined by reported flight hours) and the types of cognitive workload assessment measures used were used to categorize articles. In the resulting systematic literature review, continued analysis examining the response profiles in terms of the AIDs taxonomy of cognitive workload assessment will be reported, among other findings. A brief description of the methodology used to derive the In this study we propose to discover the morphology feature differences between American African and Caucasian by analyzing Hematoxylin and Eosin (H and E) tissue samples of TNBC, and construct population-specific computational histology imaging model to 1) predict the pCR following NAC for TNBC, and identify candidates who might benefit from escalation of NAC or potentially be candidates for adjuvant therapy; 2) predict disease recurrence of TNBC who do have pCR, and identify candidates who might benefit from adjuvant therapy. final list of articles and the list of categorized article summaries follows.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 19, 2021
- Accession Number
- AD1153939
Entities
People
- Aaron Mcatee
- Amanda Hayes
- Christopher Aura
- Cristina Delgado-howard
- Jon Vogl
- Paul St. Onge
Organizations
- United States Army Aeromedical Research Lab