[go: up one dir, main page]

Lees et al., 2010 - Google Patents

Translating cognitive neuroscience to the driver's operational environment: a neuroergonomic approach

Lees et al., 2010

View PDF
Document ID
13317164896908565058
Author
Lees M
Cosman J
Lee J
Fricke N
Rizzo M
Publication year
Publication venue
The American journal of psychology

External Links

Snippet

Neuroergonomics provides a multidisciplinary translational approach that merges elements of neuroscience, human factors, cognitive psychology, and ergonomics to study brain structure and function in everyday environments. Driving safety, particularly that of older …
Continue reading at pmc.ncbi.nlm.nih.gov (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state
    • A61B5/18—Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state for vehicle drivers or machine operators
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00—Teaching not covered by other main groups of this subclass
    • G09B19/16—Control of vehicles or other craft
    • G09B19/167—Control of land vehicles

Similar Documents

Publication Publication Date Title
Lees et al. Translating cognitive neuroscience to the driver’s operational environment: a neuroergonomic approach
Hoffman et al. The role of visual attention in predicting driving impairment in older adults.
US9501947B2 (en) Driver training
Yang et al. In-vehicle technology for self-driving cars: Advantages and challenges for aging drivers
Lees et al. Cross-modal warnings for orienting attention in older drivers with and without attention impairments
Li et al. Get ready for take-overs: using head-up display for drivers to engage in non–driving-related tasks in automated vehicles
Jansen et al. Does agreement mean accuracy? Evaluating glance annotation in naturalistic driving data
Rizzo et al. Change blindness, aging, and cognition
Anderson et al. Amnesia and driving
Rizzo et al. Driving difficulties in Parkinson's disease
Mueller Driving in a simulator versus on-road: The effect of increased mental effort while driving on real roads and a driving simulator
Yang et al. The effect of visual stimulus on advanced driver assistance systems in a real driving
Rosenberger Distracted: A philosophy of cars and phones
Rizzo et al. Stops for cops: Impaired response implementation for older drivers with cognitive decline
Cosman et al. Translating Cognitive Neuroscience to the Driver’s Operational Environment: A Neuroergonomic Approach
Castro Visual demands and driving
Inman et al. Cooperative adaptive cruise control human factors study: Experiment 1-workload, distraction, arousal, and trust
Choi et al. Older drivers’ self-awareness of functional declines influences adoption of compensatory driving behaviors
Askari et al. Investigating the relationship between subjective and interpretive drowsiness with lane departure in simulator driving
Kim The effects of collision avoidance warning systems on driver’s visual behaviors
Edwards et al. A pilot study on mitigating run-off-road crashes
Lee Driving Behavior: Managing Resources in a Complex Task
Fitch Driver comprehension of integrated collision avoidance system alerts presented through a haptic driver seat
Shariatmadari Comparing 2-level and 3-level graded collision warning systems under distracted driving conditions
Doner The effects of TOR on EEG data in level 3 autonomous vehicles