Data-to-sound mapping to sonify ongoing system status in continuous manual control task

2011 ◽  
Author(s):  
Yukio Horiguchi ◽  
Keisuke Yasuda ◽  
Hiroaki Nakanishi ◽  
Tetsuo Sawaragi
Keyword(s):  
Manual Control ◽  
Control Task

scholarly journals Human manual control precision depends on vestibular sensory precision and gravitational magnitude

2018 ◽  
Vol 120 (6) ◽  
pp. 3187-3197 ◽  
Author(s):  
Marissa J. Rosenberg ◽  
Raquel C. Galvan-Garza ◽  
Torin K. Clark ◽  
David P. Sherwood ◽  
Laurence R. Young ◽  
...  
Keyword(s):  
Manual Control ◽  
Control Performance ◽  
Control Task ◽  
Altered Gravity ◽  
Control Precision ◽  
Functional Implications ◽  
Potential Risk Factors ◽  
And Performance ◽  
Human Exploration ◽  
Roll Tilt

Precise motion control is critical to human survival on Earth and in space. Motion sensation is inherently imprecise, and the functional implications of this imprecision are not well understood. We studied a “vestibular” manual control task in which subjects attempted to keep themselves upright with a rotational hand controller (i.e., joystick) to null out pseudorandom, roll-tilt motion disturbances of their chair in the dark. Our first objective was to study the relationship between intersubject differences in manual control performance and sensory precision, determined by measuring vestibular perceptual thresholds. Our second objective was to examine the influence of altered gravity on manual control performance. Subjects performed the manual control task while supine during short-radius centrifugation, with roll tilts occurring relative to centripetal accelerations of 0.5, 1.0, and 1.33 GC (1 GC = 9.81 m/s2). Roll-tilt vestibular precision was quantified with roll-tilt vestibular direction-recognition perceptual thresholds, the minimum movement that one can reliably distinguish as leftward vs. rightward. A significant intersubject correlation was found between manual control performance (defined as the standard deviation of chair tilt) and thresholds, consistent with sensory imprecision negatively affecting functional precision. Furthermore, compared with 1.0 GC manual control was more precise in 1.33 GC (−18.3%, P = 0.005) and less precise in 0.5 GC (+39.6%, P < 0.001). The decrement in manual control performance observed in 0.5 GC and in subjects with high thresholds suggests potential risk factors for piloting and locomotion, both on Earth and during human exploration missions to the moon (0.16 G) and Mars (0.38 G). NEW & NOTEWORTHY The functional implications of imprecise motion sensation are not well understood. We found a significant correlation between subjects’ vestibular perceptual thresholds and performance in a manual control task (using a joystick to keep their chair upright), consistent with sensory imprecision negatively affecting functional precision. Furthermore, using an altered-gravity centrifuge configuration, we found that manual control precision was improved in “hypergravity” and degraded in “hypogravity.” These results have potential relevance for postural control, aviation, and spaceflight.

Predictor Displays for Complex, Dynamic Tasks: A Preliminary Investigation

1986 ◽  
Vol 30 (7) ◽  
pp. 684-688 ◽  
Author(s):  
K. B. Bennett ◽  
D. D. Woods ◽  
E. M. Roth ◽  
P. H. Haley
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Precise Measurement ◽  
Preliminary Investigation ◽  
Development Program ◽  
Manual Control ◽  
Control Performance ◽  
Control Task ◽  
Complex Dynamic ◽  
Operator Performance

The operators of nuclear power plants are asked to perform a task that has proven to be particularly difficult: manual control of feedwater during startup. We have initiated a research and development program to address human factors issues related to this task. An analysis of cognitive aspects of the feedwater control task was used to develop a generic part-task simulator. New displays to enhance manual control performance (including a predictor display) were developed with the simulator. The test capability provided by the simulator allowed precise measurement of performance differences associated with these displays in a mixed-fidelity laboratory experiment. The results suggest that the displays reduced the complexity of the task and resulted in improved operator performance.

Data-To-Sound Mapping To Sonify Ongoing System Status In Continuous Manual Control Task

2011 ◽  
Vol 55 (1) ◽  
pp. 1235-1239 ◽  
Author(s):  
Y. Horiguchi ◽  
K. Yasuda ◽  
H. Nakanishi ◽  
T. Sawaragi
Keyword(s):  
Manual Control ◽  
Control Task

Exploring the Dimensions of Haptic Feedback Support in Manual Control

2009 ◽  
Vol 9 (1) ◽  
Author(s):  
D. A. Abbink ◽  
M. Mulder
Keyword(s):  
Force Feedback ◽  
Haptic Feedback ◽  
Control Device ◽  
Order System ◽  
Manual Control ◽  
Steering Wheel ◽  
Feedback Systems ◽  
Control Task ◽  
Control Activity ◽  
Aerospace Applications

A promising way to support operators in a manual control task is to provide them with guiding feedback forces on the control device (e.g., the steering wheel). These additional forces can suggest a safe course of action, which operators can follow or over-rule. This paper explores the idea that the feedback forces can be designed not only to depend on a calculated error (i.e., force feedback) but also on the control device position (i.e., stiffness feedback). First, the fundamental properties of force and stiffness feedback are explained, and important parameters for designing beneficial haptic feedback are discussed. Then, in an experiment, the unassisted control of a second-order system (perturbed by a multisine disturbance) is compared with the same control task supported by four haptic feedback systems: weak and strong force feedback, both with and without additional stiffness feedback. Time and frequency-domain analyses are used to understand the changes in human control behavior. The experimental results indicate that—when well designed—stiffness feedback may raise error-rejection performance with the same level of control activity as during unassisted control. The findings may aid in the design of haptic feedback systems for automotive and aerospace applications, where human attention is still required in a visually overloaded environment.

Manual-Control Analysis Applied to the Money Supply Control Task

2011 ◽  
Vol 39 (1) ◽  
pp. 99-111
Author(s):  
Rodney C. Wingrove ◽  
Ronald E. Davis
Keyword(s):  
Money Supply ◽  
Manual Control ◽  
Control Analysis ◽  
Control Task

scholarly journals Human Performance Consequences of Automated Decision Aids

2012 ◽  
Vol 6 (1) ◽  
pp. 57-87 ◽  
Author(s):  
Dietrich Manzey ◽  
Juliane Reichenbach ◽  
Linda Onnasch
Keyword(s):  
Supervisory Control ◽  
Human Performance ◽  
Prior Experience ◽  
Decision Aids ◽  
Manual Control ◽  
Control Task ◽  
Commission Errors ◽  
Performance Consequences ◽  
System Information ◽  
Manual Performance

Two experiments are reported that investigate to what extent performance consequences of automated aids are dependent on the distribution of functions between human and automation and on the experience an operator has with an aid. In the first experiment, performance consequences of three automated aids for the support of a supervisory control task were compared. Aids differed in degree of automation (DOA). Compared with a manual control condition, primary and secondary task performance improved and subjective workload decreased with automation support, with effects dependent on DOA. Performance costs include return-to-manual performance issues that emerged for the most highly automated aid and effects of complacency and automation bias, respectively, which emerged independent of DOA. The second experiment specifically addresses how automation bias develops over time and how this development is affected by prior experience with the system. Results show that automation failures entail stronger effects than positive experience (reliably working aid). Furthermore, results suggest that commission errors in interaction with automated aids can depend on three sorts of automation bias effects: (a) withdrawal of attention in terms of incomplete cross-checking of information, (b) active discounting of contradictory system information, and (c) inattentive processing of contradictory information analog to a “looking-but-not-seeing” effect.

scholarly journals Memory Pattern Identification for Feedback Tracking Control in Human–Machine Systems

2019 ◽  
pp. 001872081988100 ◽  
Author(s):  
Miguel Martínez-García ◽  
Yu Zhang ◽  
Timothy Gordon
Keyword(s):  
Fractional Order ◽  
Finite Impulse Response ◽  
Human Subjects ◽  
Procedural Memory ◽  
Human Operator ◽  
Human Model ◽  
Manual Control ◽  
Control Task ◽  
Fir Model ◽  
Memory Pattern

Objective: The aim of this paper was to identify the characteristics of memory patterns with respect to a visual input, perceived by the human operator during a manual control task, which consisted in following a moving target on a display with a cursor. Background: Manual control tasks involve nondeclarative memory. The memory encodings of different motor skills have been referred to as procedural memories. The procedural memories have a pattern, which this paper sought to identify for the particular case of a one-dimensional tracking task. Specifically, data recorded from human subjects controlling dynamic systems with different fractional order were investigated. Method: A finite impulse response (FIR) controller was fitted to the data, and pattern analysis of the fitted parameters was performed. Then, the FIR model was further reduced to a lower order controller; from the simplified model, the stability analysis of the human–machine system in closed-loop was conducted. Results: It is shown that the FIR model can be used to identify and represent patterns in human procedural memories during manual control tasks. The obtained procedural memory pattern presents a time scale of about 650 ms before decay. Furthermore, the fitted controller is stable for systems with fractional order less than or equal to 1. Conclusion: For systems of different fractional order, the proposed control scheme—based on an FIR model—can effectively characterize the linear properties of manual control in humans. Application: This research supports a biofidelic approach to human manual control modeling over feedback visual perceptions. Relevant applications of this research are the following: the development of shared-control systems, where a virtual human model assists the human during a control task, and human operator state monitoring.

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