Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Control Systems

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...

Open and closed-loop control systems

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...

Data Validation

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

Data Validation

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:

Automatic Processing and Automatic Social Behavior

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

Controller Configurations

Controller Configurations

Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Comparing an augmented reality navigation display to an electronic map for military reconnaissance.

Ergonomics·2021

Same author

Detecting and Responding to Information Overload With an Adaptive User Interface.

Human factors·2020

Same author

The Harder They Fall? A Response to Wickens et al. (2019) Regarding the Generalizability of Lumberjack Predictions to Complex Work Settings.

Human factors·2020

Same author

The Absence of Degree of Automation Trade-Offs in Complex Work Settings.

Human factors·2019

Same author

Situation awareness acquired from monitoring process plants - the Process Overview concept and measure.

Ergonomics·2015

Same author

Empirical evaluation of the Process Overview Measure for assessing situation awareness in process plants.

Ergonomics·2015

Search research articles

Related Experiment Video

Updated: Jan 2, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Human Performance Benefits of The Automation Transparency Design Principle : Validation and Variation.

Gyrd Skraaning¹, Greg A Jamieson²

¹11312 Institute for Energy Technology, Halden, Norway.

|December 14, 2019

Summary

This summary is machine-generated.

Automation transparency benefits component-level automation in nuclear power plants. However, this design principle may not apply to agent-oriented automation, requiring caution for system developers.

Keywords:

automation display design principles function allocation human–automation interaction supervisory control supervisory displays trust in automation

More Related Videos

Movement Retraining using Real-time Feedback of Performance

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Related Experiment Videos

Last Updated: Jan 2, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Movement Retraining using Real-time Feedback of Performance

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Area of Science:

Human-Computer Interaction
Nuclear Engineering
Automation Systems

Background:

Automation transparency is a human factors design principle.
It aims to make automation's functions observable in the human-system interface.
Benefits include improved reliance, trust, understanding, and user satisfaction.

Purpose of the Study:

To test the automation transparency design principle.
To evaluate its effectiveness in a nuclear power plant simulator.
To assess its applicability to different types of automation.

Main Methods:

Three full-scope nuclear power plant simulator studies were conducted.
Licensed operating crews participated in the experiments.
Transparency was applied to component-level automation and procedure automation.

Main Results:

Experiments 1 and 2 validated transparency benefits for component-level automation.
Experiment 3 did not replicate these findings for procedure automation.
Effectiveness varied based on the type of automation implemented.

Conclusions:

Automation transparency benefits component-level automation.
Caution is advised when generalizing this principle to agent-oriented automation.
System developers should carefully consider the context of automation implementation.