soar as a cognitive architecture for modeling driver workload
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SOAR as a Cognitive Architecture for Modeling Driver Workload. Randall Mauldin. Goal. To have onboard computer assistance that allows safe multi-tasking while driving. Reduction of accidents and unsafe driving due to the distraction of secondary tasks proves to be a cause worth pursuing. - PowerPoint PPT PresentationTRANSCRIPT
SOAR as a Cognitive Architecture for Modeling
Driver Workload
SOAR as a Cognitive Architecture for Modeling
Driver Workload
Randall MauldinRandall Mauldin
GoalGoal
To have onboard computer assistance that allows safe multi-tasking while driving.
Reduction of accidents and unsafe driving due to the distraction of secondary tasks proves to be a cause worth pursuing.
To have onboard computer assistance that allows safe multi-tasking while driving.
Reduction of accidents and unsafe driving due to the distraction of secondary tasks proves to be a cause worth pursuing.
IntroductionIntroduction
Develop a Computational Cognitive Model of the driving task to allow a safer and more efficient driving experience.
Develop a Computational Cognitive Model of the driving task to allow a safer and more efficient driving experience.
How? How? Develop a Cognitive Process Model
(CPM) of a basic driver workload. The CPM will take in to account
various driver tasks and interpret their demand on cognition.
Develop computational specifications and implement them into a Cognitive Modeling Architecture.
Develop a Cognitive Process Model (CPM) of a basic driver workload.
The CPM will take in to account various driver tasks and interpret their demand on cognition.
Develop computational specifications and implement them into a Cognitive Modeling Architecture.
Possibilities for a CPMPossibilities for a CPM
What is Driver Distraction?What is Driver Distraction?
Driver distraction lacks a precise, scientific definition.
Defined based upon four components: Impact, Agent, Mechanism, and Type.
Driver distraction lacks a precise, scientific definition.
Defined based upon four components: Impact, Agent, Mechanism, and Type.
Impact and AgentImpact and Agent
“A driver is delayed in the recognition of information necessary to safely maintain the lateral and longitudinal control of the vehicle (the driving task)”
“Due to some event, activity, object or person, within or outside the vehicle”
“A driver is delayed in the recognition of information necessary to safely maintain the lateral and longitudinal control of the vehicle (the driving task)”
“Due to some event, activity, object or person, within or outside the vehicle”
Mechanism and TypeMechanism and Type
“That compels or tends to induce the driver’s shifting attention away from fundamental driving tasks”
“By compromising the driver’s auditory, biomechanical, cognitive or visual faculties, or combinations thereof”
“That compels or tends to induce the driver’s shifting attention away from fundamental driving tasks”
“By compromising the driver’s auditory, biomechanical, cognitive or visual faculties, or combinations thereof”
SOARSOAR
State Operator and Result Created by John Laird, Allen Newell,
and Paul Rosenbloom at Carnegie Mellon University in 1983.
The “state” is the situation that needs to be solved.
The “operator” is what changes the “state.”
State Operator and Result Created by John Laird, Allen Newell,
and Paul Rosenbloom at Carnegie Mellon University in 1983.
The “state” is the situation that needs to be solved.
The “operator” is what changes the “state.”
SOARSOAR
Soar’s 7 step decision cycle
SOARSOAR
Structural model of Soar’s operation
Key FeaturesKey Features
Capable of representing large complex rule sets
Learns in a problem-solving context
New rules created for shorter sequences (“chunking”)
Capable of representing large complex rule sets
Learns in a problem-solving context
New rules created for shorter sequences (“chunking”)