Designing effective human-automation-plant interfaces: a control-theoretic perspective.

Hum Factors

Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Rd., Toronto, ON, Canada M5S 3G8.

Published: July 2005

In this article, we propose the application of a control-theoretic framework to human-automation interaction. The framework consists of a set of conceptual distinctions that should be respected in automation research and design. We demonstrate how existing automation interface designs in some nuclear plants fail to recognize these distinctions. We further show the value of the approach by applying it to modes of automation. The design guidelines that have been proposed in the automation literature are evaluated from the perspective of the framework. This comparison shows that the framework reveals insights that are frequently overlooked in this literature. A new set of design guidelines is introduced that builds upon the contributions of previous research and draws complementary insights from the control-theoretic framework. The result is a coherent and systematic approach to the design of human-automation-plant interfaces that will yield more concrete design criteria and a broader set of design tools. Applications of this research include improving the effectiveness of human-automation interaction design and the relevance of human-automation interaction research.

Download full-text PDF

Source
http://dx.doi.org/10.1518/0018720053653820DOI Listing

Publication Analysis

Top Keywords

human-automation interaction
12
human-automation-plant interfaces
8
control-theoretic framework
8
automation design
8
design guidelines
8
set design
8
design
7
framework
5
designing effective
4
effective human-automation-plant
4

Similar Publications

Objective: This study explores the effectiveness of conversational prompts on enhancing driver monitoring behavior and takeover performance in partially automated driving under two non-driving-related task (NDRT) scenarios with varying workloads.

Background: Driver disengagement in partially automated driving is a serious safety concern. Intermittent conversational prompts that require responses may be a solution.

View Article and Find Full Text PDF

Trust and system reliability can influence a user's dependence on automated systems. This study aimed to investigate how increases and decreases in automation reliability affect users' trust in these systems and how these changes in trust are associated with users' dependence on the system. Participants completed a color identification task with the help of an automated aid, where the reliability of this aid either increased from 50% to 100% or decreased from 100% to 50% as the task progressed, depending on which group the participants were assigned to.

View Article and Find Full Text PDF
Article Synopsis
  • The study aimed to evaluate how well active inference models predict when drivers take over from automated vehicles and how these models relate to cognitive fatigue, trust, and situation awareness.
  • Using a driving simulation, researchers developed a model that accurately predicted takeover times, finding that higher cognitive fatigue correlated with more uncertainty in taking control, while better situation awareness was linked to improved understanding of the driving environment.
  • The findings support previous theories on trust in automation and indicate that active inference models can enhance the design and safety of automated driving systems by integrating human cognitive factors.
View Article and Find Full Text PDF

Increased automation transparency can improve the accuracy of automation use but can lead to increased bias towards agreeing with advice. Information about the automation's confidence in its advice may also increase the predictability of automation errors. We examined the effects of providing automation transparency, automation confidence information, and their potential interacting effect on the accuracy of automation use and other outcomes.

View Article and Find Full Text PDF
Article Synopsis
  • Radiotherapy treatment planning is shifting towards more automation, similar to the changes seen in the aviation industry, raising concerns about human roles and risks within these automated systems.
  • A working group at the ESTRO Physics Workshop 2023 suggested a framework based on aviation insights, outlining different levels of automation in radiotherapy and their impact on human involvement.
  • Key risks of this automation include complacency and data overload, which necessitate strategies like checklists and proper training to ensure effective human-automation collaboration while maintaining the critical need for human oversight in complex clinical scenarios.*
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!