Pilots' monitoring strategies and performance on automated flight decks: an empirical study combining behavioral and eye-tracking data.
about
Using eye tracking and gaze pattern analysis to test a "dirty bomb" decision aid in a pilot RCT in urban adults with limited literacy.Fixing our focus: training attention to regulate emotion.Understanding human management of automation errors.Mouse cursor movement and eye tracking data as an indicator of pathologists' attention when viewing digital whole slide images.Initial cognitive performance predicts longitudinal aviator performance.Uncertainty and cognitive control.Investigating mode errors on automated flight decks: illustrating the problem-driven, cumulative, and interdisciplinary nature of human factors research.Petri net-based modelling of human-automation conflicts in aviation.A guideline for integrating dynamic areas of interests in existing set-up for capturing eye movement: Looking at moving aircraft.One executive function never comes alone: monitoring and its relation to working memory, reasoning, and different executive functions.Identifying black swans in NextGen: predicting human performance in off-nominal conditions.Humans: still vital after all these years of automation.Cognitive engineering.The effect of individual differences in working memory in older adults on performance with different degrees of automated technology.Modeling the control of attention in visual workspaces.Mitigation of conflicts with automation: use of cognitive countermeasures.Reward and uncertainty favor risky decision-making in pilots: evidence from cardiovascular and oculometric measurements.Flight deck disturbance management: a simulator study of diagnosis and recovery from breakdowns in pilot-automation coordination.Implementing Lumberjacks and Black Swans Into Model-Based Tools to Support Human-Automation Interaction.Identifying problems and generating recommendations for enhancing complex systems: applying the abstraction hierarchy framework as an analytical tool.A comprehensive prediction and evaluation method of pilot workload.
P2860
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P2860
Pilots' monitoring strategies and performance on automated flight decks: an empirical study combining behavioral and eye-tracking data.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Pilots' monitoring strategies ...... avioral and eye-tracking data.
@ast
Pilots' monitoring strategies ...... avioral and eye-tracking data.
@en
type
label
Pilots' monitoring strategies ...... avioral and eye-tracking data.
@ast
Pilots' monitoring strategies ...... avioral and eye-tracking data.
@en
prefLabel
Pilots' monitoring strategies ...... avioral and eye-tracking data.
@ast
Pilots' monitoring strategies ...... avioral and eye-tracking data.
@en
P2093
P2860
P356
P1433
P1476
Pilots' monitoring strategies ...... avioral and eye-tracking data.
@en
P2093
Christopher D Wickens
Nadine B Sarter
Randall J Mumaw
P2860
P304
P356
10.1518/001872007X196685
P577
2007-06-01T00:00:00Z