Cognitive task analyses for decision centred design and training

Task Analysis ◽  
2000 ◽  
pp. 176-196
Keyword(s):  
2021 ◽  
Vol 2 (1) ◽  
pp. 20-28
Author(s):  
Philippe Fauquet-Alekhine ◽  
Patrick Martinez

The aim of this pilot study was to test a method developed in the Cognitive Task Analysis paradigm for adult occupational training in the field of education. The method used was based on the Square of Percieved ACtion (SPEAC) protocol using the SPEAC model (explaining how to successfully put competencies in action). The study was conducted in two secondary education classes, with a sample of 36 students (control group and test group) for an activity in Economics & Social science. The application of this innovative SPEAC-based method resulted in a significant and homogeneous increase in student performance. Beyond showing that the protocol can be applied both for adults and the young and in both occupational and academic contexts, the study demonstrates the benefits in learning and training with this method. Cognitive processes underpinning the improvement in teaching and limitations of the method are discussed.


2021 ◽  
Author(s):  
Taylor Kunkes ◽  
Basiel Makled ◽  
Jack Norfleet ◽  
Steven Schwaitzberg ◽  
Lora Cavuoto

BACKGROUND Proper airway management is an essential skill for hospital personnel and rescue services to learn as it is a priority for the care of critically ill patients. It is critical that providers be properly trained and competent in performing endotracheal intubation (ETI), a widely used technique for airway management. Several metrics have been created in order to measure competence in the ETI procedure. However, there is still a need to improve ETI training and evaluation including a focus on collaborative research across medical specialties in order to establish greater competence-based training and assessments. Training and evaluating ETI should also incorporate modern, evidence-based procedural training methodologies. OBJECTIVE Cognitive task analysis (CTA) is a framework developed to identify the cognitive demands and skills needed to proficiently perform a task, elucidate differences between novice and expert performance, and provide an understanding of the workload associated with a task. The CTA framework was applied to ETI in order to capture a broad view of task and training requirements from the perspective of multiple medical specialties. METHODS A CTA interview was developed based on previous research into the tasks and evaluation methods of ETI. Six experts from multiple medical specialties were interviewed in order to capture the cognitive skills required in order to complete this task. Interviews were coded for main themes, sub-themes in each category, and differences among specialties. These findings were compiled into a skills tree in order to identify the training needs and cognitive requirements of each task. RESULTS The CTA revealed that consistency in equipment setup and planning through talk or think-aloud methods are critical to successfully mastering ETI. These factors allow the providers to avoid errors due to patient characteristics and environmental factors. Variation among specialties derived primarily from the environment in which ETI is performed, subsequent treatment plans, and available resources. Anesthesiology typically represented the most ideal cases with a large potential for training, whereas emergency medical personnel faced the greatest number of constraints based on the environment and available equipment. CONCLUSIONS While the skills tree cannot perfectly capture the complexity and detail of all potential cases, it provided insight into the nuanced skills and training techniques used to prepare novices for the variability they may find in practice. Importantly, the CTA identified ways in which challenges faced by novices may be overcome and how this training can be applied to future cases. By making these implicit skills and points of variation explicit, they can be better translated into teachable details. These findings are consistent with previous studies looking at developing improved assessment metrics for ETI and expand upon their work by delving into methods of feedback and strategies to assist novices.


1989 ◽  
Vol 33 (19) ◽  
pp. 1348-1352 ◽  
Author(s):  
Richard E. Redding

This study presents a critical analysis of the state of current technologies, methods, and tools used in cognitive task-analysis. Methods for cognitive task-analysis, derived from methods used in cognitive science, are relatively new and have not been systematized. Current methodologies demand considerable time and expertise to conduct properly and often yield data which is difficult to readily translate into practical application. This paper examines these problems and proposes some directions for future research and training program development.


Ergonomics ◽  
1998 ◽  
Vol 41 (11) ◽  
pp. 1698-1718 ◽  
Author(s):  
DAVID O'HARE ◽  
MARK WIGGINS ◽  
ANTHONY WILLIAMS ◽  
WILLIAM WONG
Keyword(s):  

Author(s):  
Alexander Scott ◽  
Ian Cooke ◽  
Katarzyna Sliwinska ◽  
Novia Wong ◽  
David Schuster

With an increasing frequency of data breaches suffered by organizations, computer network defense (CND) is becoming an increasingly important concern. With understanding of how cybersecurity professionals engage in the cognitive aspects of their work, human factors researchers and practitioners can improve tools and training. By optimizing the tools and training network defenders rely on to detect and respond to novel network threats, the cybersecurity workforce will be strengthened. While cognitive task analysis (CTA) is well-positioned to represent the cognitive work of CND, we identify challenges practitioners are likely to encounter in the field. Through a review of published CTAs in CND and other domains, we provide guidance for future CTA efforts in CND. Finally, we present an argument for the use of Elicitation by Critiquing (EBC) and demonstrate its efficacy in mitigating the challenges of applying CTA in CND.


Author(s):  
Elliot Nauert ◽  
Doug Gillan

Wildland firefighting often involves the creation of a fireline (a break in vegetative fuels), an operation commonly hindered by the break-down of gas-powered chainsaws. Some firefighters may not possess the knowledge and skills needed to address break-downs quickly, which threatens productivity and safety. The Applied Cognitive Task Analysis method was used to examine the troubleshooting process of an expert wildland fire sawyer. This included elicitations of key steps in this process, specific pieces of valuable knowledge, and sources of expertise. These results show that much of the expert understanding of complex faults was developed on-the-job rather than during a formal training program. This study highlights areas where training and job aids may be improved to support wildland firefighters in chainsaw troubleshooting and provides preliminary support of ACTA as a tool for training specialists in this domain.


Author(s):  
Valerie L. Shalin ◽  
Paul F. Jacques

We use the term cognitive task analysis (CTA) to refer to the cognitive aspects of any task (including primarily physical tasks and tasks conducted in teams), and distinguish two linked phases: 1) elicitation and 2) representation. This paper addresses the representation of cognitive task content, for its critical role in bridging CTA with cognitive engineering. An ongoing task analysis of jet fighter crewmembers on air defense supression (Wild Weasel) missions provides an opportunity to comment critically on the utility of the Plan-Goal Graph representation (Sewell & Geddes, 1990) we have been using.


2020 ◽  
Author(s):  
Ali Khaleghi ◽  
Zahra Aghaei ◽  
Mohammad Amin Mahdavi

BACKGROUND Cognitive tasks are often repetitive and are often in a monotonous manner presented, which finally leads to participant boredom and disengagement. This, may cause high attrition rate, between-subjects variability, and, in turn, negatively impacts data quality and intervention effects. It is assumed that greater engagement and motivation will manifest data quality improvement. Gamification has been heralded as a potential mechanism for increasing participant engagement in cognitive tasks. Some studies have reported a positive effect of gamification on participant performance, although most have shown mixed results. One reason for these contrasting findings is that most studies have applied poorly and heterogeneous design techniques for gamifying cognitive assessment and training that in turn indicate the need for an appropriate gamification design framework in these tasks. OBJECTIVE This study aims to propose a preliminary design framework for gamifying cognitive training and testing. METHODS We employed a design science research approach to provide a framework for gamifying cognitive testing and training by synthesizing existing gamification design frameworks, gamification works in cognitive assessment and training, and incorporating in the field experiences, resulted to a gamification design framework. The prototypes of the framework were evaluated with relevant experts iteratively. RESULTS We proposed a six step framework to guide the designing of gamification in cognitive testing/ training. The steps include: objectives determination, knowing the users and context of gamification, gamification technique selection, iterative prototyping and playtesting, creating applicable models, and monitoring. CONCLUSIONS We found that: (1) an intermediate design framework is needed for gamifying cognitive testing/ training means that designers should select game elements by considering current cognitive testing/ training relevant characteristics otherwise risks like irrelevant cognitive load and hawthorne-like effects may jeopardize data quality, (2) in addition of developing a new gamified testing/ training tool from the scratch, two gamification techniques are widely used: first, adding game elements to a cognitive task, and second, mapping an existing game to a cognitive function/ test, and (3) further research is required to investigate the interplay of cognitive processes and game mechanics and how they should be designed/ implemented from the cognitive testing/ training and engagement perspectives.


2021 ◽  
Author(s):  
◽  
Grace Nock

<p>Cybercrime represents a significant threat for the 21st century, a threat that traditional methods of policing cannot adequately manage. Consequently, new ways of policing utilising specialised teams have been implemented to address cybercrime proactively. One method of policing that has been relatively unexplored within academic literature is covert online investigations, wherein law enforcement creates false identities to interact with offenders from. Existing research has not comprehensively explored what tactics, techniques, and procedures law enforcement use when conducting these investigations. Accordingly, selection and training of employees presents unique challenges. Therefore, this study aims to provide a detailed evaluation of what skills are needed by law enforcement. This information can then inform future training and selection. This study examines in-depth semi-structured interviews with eight New Zealand Police investigators using Applied Cognitive Task Analysis. Data was analysed using thematic analysis. Results revealed three themes with 18 sub-themes. The first theme explored operational pre-planning, the second theme explored social engineering techniques used to gather information, and the third theme explored the wide-ranging external considerations. Finally, the discussion outlines the implications for theories of social engineering, applications for law enforcement training and recruitment, and potential future research opportunities within social engineering and police psychology.</p>


Author(s):  
Ronald John Lofaro

Cognitive ergonomics deals with decision making, skilled performance(s), and training. This chapter will show what began as a cognitive task analysis (CTA) for identifying critical skills needed for skilled performance, with decision making involved in every step. Over the years, it evolved into a paradigm that extended far beyond a CTA. With the advances in technology, especially communication technologies, some of this paradigm has re-emerged in what are termed estimate-talk-estimate (ETE) efforts, which can be web-based. ETE's are aimed at forecasting, decision making, even policymaking. This chapter will show how to integrate the elements of paradigm cited above with elements of Pareto analysis ETE in order to use today's technology to achieve extremely accurate results across many venues. The model that results from this integration will be used on three current problem areas to show how decisions can be made on standards, policy, and training needs. The problem areas encompass national education standards, aviation and operational testing (OT), and evaluation.


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