scholarly journals Automation in surgery: The impact of navigated-control assistance on the performance, workload and situation awareness of surgeons

2010 ◽  
Author(s):  
Maria Luz ◽  
Stefan Mueller ◽  
Gero Strauss ◽  
Andreas Dietz ◽  
Juergen Meixensberger ◽  
...  
Keyword(s):  
Situation Awareness ◽  
Navigated Control ◽  
The Impact

scholarly journals Automation in Surgery: The Impact of Navigated-Control Assistance on the Performance, Workload and Situation Awareness of Surgeons

2010 ◽  
Vol 54 (12) ◽  
pp. 889-893
Author(s):  
Maria Luz ◽  
Stefan Mueller ◽  
Gero Strauss ◽  
Andreas Dietz ◽  
Juergen Meixensberger ◽  
...  
Keyword(s):  
Situation Awareness ◽  
Navigated Control ◽  
The Impact

scholarly journals The Impact of Interruptions on Feature Change Detection within Dynamic Scenes

2019 ◽  
Vol 63 (1) ◽  
pp. 1430-1434
Author(s):  
Kimberly N. Perry ◽  
Mark W. Scerbo
Keyword(s):  
Working Memory ◽  
Situation Awareness ◽  
Specific Information ◽  
Limited Information ◽  
Dynamic Scenes ◽  
Feature Change ◽  
Activation Level ◽  
Level 1 ◽  
Perceptual Changes ◽  
The Impact

The goal of the present study was to examine how interruptions occurring in dynamic scenes affect the ability to detect perceptual changes during level 1 situation awareness (SA). Undergraduates were asked to watch 24 brief videos (half with interruptions) including 8 with perceptual feature changes. All videos were unique and contained multiple dynamic objects. Three different sets of instructions regarding the changes were given to successive groups: no information, limited information, and feature specific information. Of the eight changes, half occurred during a visual interruption and half with no interruption. Results showed that participants detected few changes, but detections increased when given more information about the nature of the changes in the absence of interruptions. The findings suggest that interruptions may facilitate the decay of an objects’ activation level in working memory and that level 1 SA may be particularly fragile when the visual scene is interrupted.

Level of Automation Forms a Key Aspect of Autonomy Design

2017 ◽  
Vol 12 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Mica R. Endsley
Keyword(s):  
Situation Awareness ◽  
Interface Design ◽  
Human Performance ◽  
Human Cognition ◽  
Level Of Automation ◽  
Out Of The Loop ◽  
Wide Range ◽  
Levels Of Automation ◽  
And Performance ◽  
The Impact

The concept of different levels of automation (LOAs) has been pervasive in the automation literature since its introduction by Sheridan and Verplanck. LOA taxonomies have been very useful in guiding understanding of how automation affects human cognition and performance, with several practical and theoretical benefits. Over the past several decades a wide body of research has been conducted on the impact of various LOAs on human performance, workload, and situation awareness (SA). LOA has a significant effect on operator SA and level of engagement that helps to ameliorate out-of-the-loop performance problems. Together with other aspects of system design, including adaptive automation, granularity of control, and automation interface design, LOA is a fundamental design characteristic that determines the ability of operators to provide effective oversight and interaction with system autonomy. LOA research provides a solid foundation for guiding the creation of effective human–automation interaction, which is critical for the wide range of autonomous and semiautonomous systems currently being developed across many industries.

scholarly journals The Identification of Non-Driving Activities with Associated Implication on the Take-Over Process

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 42
Author(s):  
Lichao Yang ◽  
Mahdi Babayi Semiromi ◽  
Yang Xing ◽  
Chen Lv ◽  
James Brighton ◽  
...  
Keyword(s):  
Situation Awareness ◽  
Haptic Feedback ◽  
Hand Movement ◽  
Transition Process ◽  
Recognition System ◽  
Steering Wheel ◽  
Automated Driving ◽  
Driver Behaviour ◽  
Active Mode ◽  
The Impact

In conditionally automated driving, the engagement of non-driving activities (NDAs) can be regarded as the main factor that affects the driver’s take-over performance, the investigation of which is of great importance to the design of an intelligent human–machine interface for a safe and smooth control transition. This paper introduces a 3D convolutional neural network-based system to recognize six types of driver behaviour (four types of NDAs and two types of driving activities) through two video feeds based on head and hand movement. Based on the interaction of driver and object, the selected NDAs are divided into active mode and passive mode. The proposed recognition system achieves 85.87% accuracy for the classification of six activities. The impact of NDAs on the perspective of the driver’s situation awareness and take-over quality in terms of both activity type and interaction mode is further investigated. The results show that at a similar level of achieved maximum lateral error, the engagement of NDAs demands more time for drivers to accomplish the control transition, especially for the active mode NDAs engagement, which is more mentally demanding and reduces drivers’ sensitiveness to the driving situation change. Moreover, the haptic feedback torque from the steering wheel could help to reduce the time of the transition process, which can be regarded as a productive assistance system for the take-over process.

scholarly journals Human factors challenges for the safe use of artificial intelligence in patient care

2019 ◽  
Vol 26 (1) ◽  
pp. e100081 ◽  
Author(s):  
Mark Sujan ◽  
Dominic Furniss ◽  
Kath Grundy ◽  
Howard Grundy ◽  
David Nelson ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Human Factors ◽  
Patient Care ◽  
Situation Awareness ◽  
Human Performance ◽  
Independent Evaluation ◽  
The Impact ◽  
Human Factors Research

The use of artificial intelligence (AI) in patient care can offer significant benefits. However, there is a lack of independent evaluation considering AI in use. The paper argues that consideration should be given to how AI will be incorporated into clinical processes and services. Human factors challenges that are likely to arise at this level include cognitive aspects (automation bias and human performance), handover and communication between clinicians and AI systems, situation awareness and the impact on the interaction with patients. Human factors research should accompany the development of AI from the outset.

Use of scenarios and function analyses to understand the impact of situation awareness on safe and effective work on rail tracks

2013 ◽  
Vol 56 ◽  
pp. 52-62 ◽  
Author(s):  
D. Golightly ◽  
B. Ryan ◽  
N. Dadashi ◽  
L. Pickup ◽  
J.R. Wilson
Keyword(s):  
Situation Awareness ◽  
Effective Work ◽  
And Function ◽  
The Impact

scholarly journals Knowledge-Based Smart City Service System

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 965
Author(s):  
Giuseppe D’Aniello ◽  
Matteo Gaeta ◽  
Francesco Orciuoli ◽  
Giuseppe Sansonetti ◽  
Francesca Sorgente
Keyword(s):  
Information And Communication Technologies ◽  
Situation Awareness ◽  
Public Transportation ◽  
Smart City ◽  
Service System ◽  
Decision Makers ◽  
Knowledge Based ◽  
The Government ◽  
The Impact ◽  
The City

A smart city can be defined as a city exploiting information and communication technologies to enhance the quality of life of its citizens by providing them with improved services while ensuring a conscious use of the available limited resources. This paper introduces a conceptual framework for the smart city, namely, the Smart City Service System. The framework proposes a vision of the smart city as a service system according to the principles of the Service-Dominant Logic and the service science theories. The rationale is that the services offered within the city can be improved and optimized via the exploitation of information shared by the citizens. The Smart City Service System is implemented as an ontology-based system that supports the decision-making processes at the government level through reasoning and inference processes, providing the decision-makers with a common operational picture of what is happening in the city. A case study related to the local public transportation service is proposed to demonstrate the feasibility and validity of the framework. An experimental evaluation using the Situation Awareness Global Assessment Technique (SAGAT) has been performed to measure the impact of the framework on the decision-makers’ level of situation awareness.

Measuring the Impact of Console Operator Experience in a Simulated Petrochemical Refining Emergency Event

2017 ◽  
Vol 61 (1) ◽  
pp. 527-531 ◽  
Author(s):  
Hector I. Silva ◽  
Tristan Grigoleit ◽  
Mary Ann Burress ◽  
Daniel Fitzpatrick
Keyword(s):  
Situation Awareness ◽  
Petrochemical Industry ◽  
Negative Effects ◽  
Process Industries ◽  
Operator Experience ◽  
Emergency Event ◽  
Levels Of Automation ◽  
Emergency Events ◽  
The Impact ◽  
Critical Process

Critical process industries such as petrochemical refining have actively sought to make their operations safer and more efficient. In doing this, the industry has found success in automating systems. However, increasing levels of automation is known to have some negative effects on the human operator (Kaber & Endsley, 1997). Consequently, operators have had less opportunity to be exposed to and engage in managing emergency events due to reliable automation. The current investigation explores the role that console operator experience has in the management of emergency events and in the maintenance of situation awareness within the petrochemical industry. Incumbent Console Operators completed several trials of a simulated emergency event where prior exposure to the live event, performance, workload, and situation awareness metrics were collected. The results suggest that experience with managing the live event had little effect on the collected metrics. The potential implications of these results are discussed.

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