https://bura.brunel.ac.uk/bitstream/2438/1733/1/Hierarchical_Task_Analysis_Developments_Applications_and_Extensions_Stanton%28postprint%29.pdf

Hierarchical task analysis: Developments, applications and extensions

The purpose of this paper is to propose foundations for a theory of situation awareness based on the analysis of interactions between agents (i.e. both human and non-human) in subsystems. This approach may help to promote a better understanding of technology-mediated interaction in systems, as well as helping in the formulation of hypotheses and predictions concerning distributed situation awareness. It is proposed that agents within a system each hold their own situation awareness, which may be very different from (although compatible with) that of other agents. It is argued that we should not always hope for, or indeed want, sharing of this awareness, as different system agents have different purposes. This view marks situation awareness as a dynamic and collaborative process binding agents together on tasks on a moment-by-moment basis. Implications of this viewpoint for the development of a new theory of, and accompanying methodology for, distributed situation awareness are offered.

/pdf/distributed-situation-awareness-in-dynamic-systems-2lg4z20xaf.pdf

Distributed situation awareness in dynamic systems: theoretical development and application of an ergonomics methodology

Coactive Design is a new approach to address the increasingly sophisticated roles that people and robots play as the use of robots expands into new, complex domains. The approach is motivated by the desire for robots to perform less like teleoperated tools or independent automatons and more like interdependent teammates. In this article, we describe what it means to be interdependent, why this is important, and the design implications that follow from this perspective. We argue for a human-robot system model that supports interdependence through careful attention to requirements for observability, predictability, and directability. We present a Coactive Design method and show how it can be a useful approach for developers trying to understand how to translate high-level teamwork concepts into reusable control algorithms, interface elements, and behaviors that enable robots to fulfill their envisioned role as teammates. As an example of the coactive design approach, we present our results from the DARPA Virtual Robotics Challenge, a competition designed to spur development of advanced robots that can assist humans in recovering from natural and man-made disasters. Twenty-six teams from eight countries competed in three different tasks providing an excellent evaluation of the relative effectiveness of different approaches to human-machine system design.

/pdf/coactive-design-designing-support-for-interdependence-in-26tdddeo0o.pdf

Coactive design: designing support for interdependence in joint activity

This book presents the latest work in the area of naturalistic decision making (NDM) and its extension into the area of macrocognition. It contains 18 chapters relating research centered on the study of expertise in naturalistic settings, written by international experts in NDM and cognitive systems engineering. The objective of the book is to present the reader with exciting new developments in this field of research, which is characterized by its application-oriented focus. The work addresses only real-world problems and issues. For instance, how do multi-national teams collaborate effectively? How can surgeons best be supported by technology? How do detectives make sense of complex criminal cases? In all instances the studies have been carried out on experts within their respective domains. The traditional field of NDM is extended in this work by focusing on macrocognitive functions other than decision making, namely sense-making, coordination and planning. This has broadened the scope of the field. The book also contains a theoretical discussion of the macro-micro distinction. Naturalistic Decision Making and Macrocognition will be relevant to graduate students, researchers and professionals (including professionals and researchers in business, industry and government) who are interested in decision making, expertise, training methods and system design. The material may be used in two ways: theoretically, to advance understanding of the field of naturalistic decision making; and practically, to gain insight into how experts in various domains solve particular problems, understand and deal with issues and collaborate with others. © Jan Maarten Schraagen, Laura G. Militello, Tom Ormerod and Raanan Lipshitz 2008. All rights reserved.

Naturalistic Decision Making and Macrocognition

Collision avoidance on maritime autonomous surface ships: Operators’ tasks and human failure events

PART ONE: Introduction to Hierarchical Task Analysis 1. Introduction 2. HTA- A Description of Method 3. Plans the Key to Describing Task Complexity 4. How to Analyse Tasks Using HTA 5. HTA in Different Work Domains 6. Recording the Analysis PART TWO: Application 7. Articulating the Task 8. Team and Job Design 9. Human Resource Issues 10. Interface Design 11. Developing Documentation 12. Training Design and Development 13. Human Error Analysis 14. Integrating Solutions 15. Evaluating the System 16. Managing a Task Analysis Project 17. HTA as a Human Factors Framework Description of Method

Hierarchical task analysis

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Hierarchical task analysis