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Assessment and Prediction of Behavioral Simulator Fidelity

Assessment and Prediction of Behavioral Simulator Fidelity. Round Table Discussion Moderator Erwin R. Boer. GOAL. Raise awareness of issues Establish framework for attack Establish what we mean by success. Behavioral Simulator Fidelity Do we know enough, do we understand enough?.

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Assessment and Prediction of Behavioral Simulator Fidelity

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  1. Assessment and Prediction of Behavioral Simulator Fidelity Round Table Discussion Moderator Erwin R. Boer

  2. GOAL • Raise awareness of issues • Establish framework for attack • Establish what we mean by success

  3. Behavioral Simulator FidelityDo we know enough, do we understand enough? • How to assess it? • How to characterize driver behavior? • How to predict it? • How to quantify simulator characteristics? • How to characterize experimental scenarios and protocol? • How to map simulator characteristics onto behavioral characteristics?

  4. Driver BehaviorWhat is a representative subset of driving tasks? • Performance – safety • Safety margins • Boundaries (CDFs) of operation in perceptual space • Decision criteria • Boundaries (CDFs) of maneuver initiation in perceptual space • Effort – workload • Monitoring activity • Eye tracker (attention tracker) • Control activity • Manipulator movements • Mental activity • Predictable from monitoring and control activity (secondary task paradigms)

  5. Simulator CharacteristicsIs the dimensionality tamable? How do we know effect of each factor? Can we assign low-dimensionality quality vectors to each aspect? • Visual system • Visual rendering • Motion system • Motion rendering • Sound system • Sound rendering • Control loader • Feel rendering • Vehicle dynamics • Response rendering • Environmental dynamics • Disturbance rendering • Cab configuration • View rendering • Room Configuration • Contextual rendering

  6. Experimental Scenario and ProtocolWhat is our language?Is a low-dimensionality vector of deviations from target feasible? (IHRA Simulator Scenario Workshop, 1:15 Thursday Oct 9) • Driving sub-tasks • Imposed / assumed goals • Environmental context • Road configuration • Dynamic distribution of other traffic • Spatio-temporal disturbance characterization • Experimental procedure • Introduction • Training

  7. Mapping Sim-Vector & Exp-Vector onto Beh-VectorDo we want neural nets? Do we want to employ data mining? Do we believe in fuzzy, Bayesian, or evidencial rules?Do we build a perceptual-mind-motor theory from first principles? • Mapping function to performance and effort • Does this provide enough constructive insight? • Integration of factors into perceptual-motor driver model • Do we know of a driver model that lends itself to this? • Mapping function to coefficients in a driver model. • Are we getting swamped in a high dimensional marchland without knowing what to anchor us on?

  8. CommonalityAny effort towards and implementation of standardized characterization aids future efforts to develop behavioral assessment models. • Do we feel that current studies are described well enough to conduct cross study research from the literature? • Are we satisfied with the adopted paradigms for assessing driver’s perception (and control) is simulators?

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