Investigation of Motion Requirements in Compensatory Control Tasks

Bergeron, H. P.

doi:10.1109/tmms.1970.299992

Cited by 14 publications

(7 citation statements)

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“…In corroboration of the aircraft-oriented findings of Young (1967) and Bergeron (1970), the results of this research clearly support the thesis that moving-base simulation is superior to fixed-base simulation with respect to operator performance. Performance measures of yaw deviation and lateral deviation demonstrated significant decreases with the collective addition of roll, yaw, and lateral translation cues to an otherwise fixed-base simulator.…”

Section: Audio Cue Influencesupporting

confidence: 81%

“…For most applications, the simulation of angular motions was shown to be more beneficial than were the translational motion cues. Bergeron (1970) conducted experiments with a two-axis simulator in which compensatory tracking tasks were performed. Although no significant differences were observed in the single-axis tests, the two-axis motion tests (pitch and yaw, and pitch and roll) showed significant differences in the tracking errors for the motion/ no motion comparison.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Examples of such indirect investigations are those dealing with visual acuity, depth perception, reaction times and those concerning certain aircraft-oriented control tasks (Bergeron, 1970;Shirley and Young, 1968;Young, 1967).…”

Section: Introductionmentioning

confidence: 99%

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The Influence of Motion and Audio Cues on Driver Performance in an Automobile Simulator

McLane

Wierwille

1975

Hum Factors

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A highway driving simulator with a computer-generated visual display, physical motion cues of roll, yaw, and lateral translation, and velocity-dependent sound/vibration cues was used to investigate the influence of these cues on driver performance. Forty-eight student subjects were randomly allocated to six experimental groups. Each group of eight subjects experienced a unique combination of the motion and audio cues. The control group received a full simulation condition while each of the remaining five groups performed with certain combinations of motion and sound deleted. Each driver generated nine minutes of continuous data from which five performance measures were derived. Results indicate that the performance measures of yaw, lateral, and velocity deviation are significantly affected by the deletion of cues. In support of the hypothesis that driver performance is augmented by the addition of motion cues, statistically significant negative correlations were obtained between the number of motion cues present and the measures of yaw and lateral deviation. With respect to motion and audio cues, recommendations are made regarding simulator design criteria.

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Section: Audio Cue Influencesupporting

confidence: 81%

Section: Literature Reviewmentioning

confidence: 99%

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The Influence of Motion and Audio Cues on Driver Performance in an Automobile Simulator

McLane

Wierwille

1975

Hum Factors

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“…1(b), the HC utilizes a combination of at least two of the following control strategies: 1) a feedforward response (H pt ) on the target f t [101], [102], 2) a compensatory feedback response (H pe ) on the error e as in compensatory tracking [101], and 3) a feedback response (H px ) on the system output x [101]- [103]. The theoretically optimal pure feedforward control law approximates the inverse system dynamics, i.e., H pt ≈ 1/H c [101], [104], while feedback of the system output x is useful for mechanizing a stabilizing "inner" control loop, mostly for tasks with sluggish system dynamics [101].…”

Section: Pursuit Trackingmentioning

confidence: 99%

Manual Control Cybernetics: State-of-the-Art and Current Trends

Mulder

Pool

Abbink

et al. 2018

IEEE Trans. Human-Mach. Syst.

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Abstract-Manual control cybernetics aims to understand and describe how humans control vehicles and devices using mathematical models of human control dynamics. This 'cybernetic approach' enables objective and quantitative comparisons of human behavior, and allows a systematic optimization of human control interfaces and training associated with manual control. Current cybernetics theory is primarily based on technology and analysis methods formalized in the 1960s and has shown to be limited in its capability to capture the full breadth of human cognition and control. This paper reviews the current state-of-the-art in our knowledge of human manual control, points out the main fundamental limitations in cybernetics, and proposes a possible roadmap to advance the theory and its applications. Central in this roadmap will be a shift from the current linear time-invariant modeling approach that is only truly valid for human behavior under tightly controlled and stationary conditions, to methods that facilitate the analysis of adaptive, and possibly time-varying, human behavior in realistic control tasks. Examples of key current developments in the field of cybernetics -human use of preview, predictable discrete maneuvering, skill acquisition and training, time-varying human modeling, and neuromuscular system modeling -that contribute to this shift are presented in this paper. The new foundations for cybernetics that will emerge from these efforts will impact all domains that involve humans in manual and semi-automatic control.

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“…Data have been collected from a number of investigations performed at Delft University of Technology 7,[9][10][11][12] and from a number of studies found in literature. 4,8,[13][14][15] This paper will provide a short overview of the scope and setup of all these different experiments. The main objective of this paper, however, is to use the total set of collected data to identify consistent trends in typical dependent measures of pilot control strategy and the parameters that define the applied motion cueing setting.…”

Section: Introductionmentioning

confidence: 99%

Tuning Models of Pilot Tracking Behavior for a Specific Simulator Motion Cueing Setting

Pool

Damveld

Paassen

2011

AIAA Modeling and Simulation Technologies Conference

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This paper describes the preliminary results of an effort to compile data from a large number of studies that investigated the effects of variations in motion filter settings on pilot behavior. The main objective of this study is to formulate a set of mathematical rules that will allow for the tuning of behavioral pilot models to a certain motion cueing setting. To achieve this, data for different dependent measures such as tracking performance, pilot-vehicle system crossover frequencies, and pilot model parameters, taken from ten different experiments that considered pilot tracking behavior under varying rotational or translational motion cueing settings, has been combined. By checking the correlation of the variation in any of these dependent measures and parameters that quantify the applied variation in motion cueing, a number of consistent relations has been identified. The most consistent and clear effects that are found from this analysis are variations in some important dependent measures with the motion filter gain at 1 rad/s. Over the full range of motion filter gains at 1 rad/s from 0 to 1, a reduction in pilot visual gain of around 20% is observed with reducing motion filter gain, in combination with a 30% increase in the amount of visual lead equalization adopted by pilots.

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Investigation of Motion Requirements in Compensatory Control Tasks

Cited by 14 publications

References 1 publication

The Influence of Motion and Audio Cues on Driver Performance in an Automobile Simulator

The Influence of Motion and Audio Cues on Driver Performance in an Automobile Simulator

Manual Control Cybernetics: State-of-the-Art and Current Trends

Tuning Models of Pilot Tracking Behavior for a Specific Simulator Motion Cueing Setting

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