Human Centered Intelligent Infrastructure
Nastaran Dahashi ; David Golightly ; Sarah Sharples
The introduction of highly reliable sensors and remote condition monitoring equipment will change the form and functionality
of maintenance and engineering systems within many infrastructure sectors. Process, transport and infrastructure companies are increasingly looking to intelligent infrastructure to increase reliability
and decrease costs in the future, but such systems will present many new (and some old) human factors challenges. Les mer
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Vår pris:
1941,-
(Innbundet)
Fri frakt!
Leveringstid: Sendes innen 21 dager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.
The introduction of highly reliable sensors and remote condition monitoring equipment will change the form and functionality
of maintenance and engineering systems within many infrastructure sectors. Process, transport and infrastructure companies
are increasingly looking to intelligent infrastructure to increase reliability and decrease costs in the future, but such
systems will present many new (and some old) human factors challenges. Despite the technological advancement in remote sensing,
robotics, automatic monitoring and decision support systems, to name only a few, existing Intelligent Infrastructure (II)
systems are often facing key obstacles whilst being implemented in the real work setting. Understanding and mitigating potential
human factors issues could ensure that such vast investments are not wasted. Intelligent Infrastructure is growingly becoming
an ambitious future step to support optimal complex control settings. From widespread railway networks to nuclear power plans,
researchers, engineers and developers are recognizing the value in better asset management and optimized utilization of the
existing resources and infrastructure. This book presents the first work that understands and informs human factors issues
associated with Intelligent Infrastructure in complex control settings.
Introduction; PART I; Intelligent Infrastructure; Human Challenges of II; Human Factors Methods; PART II; II Framework; Design
Consideration (combination of principles and processes); HF Integration-The Problem of Multi-Agent Control; Part III; Case
Study; Future work
Dr Nastaran Dadashi has over seven years of Human Factors experience (including an industry-led PhD within the Human Factors
Research Group, University of Nottingham). She has proven experience in the collection of user requirements and implementing
Human Factors design principles in complex environments. Nastaran's PhD, Human Factors of Future Railway Intelligent Infrastructure,
focused on adapting a cognitive approach to the design and understanding of complex multi-agent systems within socio-technical
environments. Nastaran holds a BSc in Computing and Information Systems and a MSc in Interactive Systems Design (With distinction);
she is a registered member at the Institute of Ergonomics and Human Factors, main track committee member of IEEE International
Conference on Systems, Man and Cybernetics (2013 & 2014) and an Associate RRI (Responsible Research and Innovation) in ICT.
She has over 20 papers within peer reviewed publications and has been an invited speaker at the International Conference of
Ergonomics in Operation and Control Centres (2012).
Dr David Golightly is Senior Research Fellow in the Human Factors Research Group, University of Nottingham. His background is in the study of learning, problem solving and expertise, particularly involving the use of ICT. He also investigates methods for capturing and integrating user requirements in user-centred design and implementation processes. He has worked on a number of rail-related projects including understanding situation awareness in rail traffic control, driver advisory for capacity management, evaluating the impact of procedural change on signalling workload and awareness, and on passenger and end-to-end journey experience to encourage modal shift. He is currently also academic supervisor on two TSB funded KTPs - one on competency management for non-technical skills in the rail industry, and one on workload modelling for rail control.
Professor Sarah Sharples is a Professor of Human Factors in the School of Mechanical, Materials and Manufacturing Engineering at the University of Nottingham and Head of the Human Factors Research Group. She completed her PhD in 1999 on methodological and theoretical issues in the assessment of participants' experiences of virtual environments. She has been a researcher, research manager or grant holder on a number of industrial, government and EU funded projects, including a long term programme of research for Network Rail examining implications, design and implementation of novel interfaces for railway control and use of rail simulation for human factors research. She is a CI in the MATCH IMRC, Horizon Digital Economy Research hub and Training Programme Manager of the Horizon Doctoral Training Centre. She has supervised PhD students in a range of areas, including situation awareness in virtual environments, impact of automation, use of handheld technologies and development of 3D information displays. She is a registered ergonomist, and her main areas of interest and expertise are Human-Computer Interaction, cognitive ergonomics and development of quantitative and qualitative research methodologies for examination of interaction with innovative technologies in complex systems. She is Associate Dean of the Graduate School for the Faculty of Engineering.
Dr David Golightly is Senior Research Fellow in the Human Factors Research Group, University of Nottingham. His background is in the study of learning, problem solving and expertise, particularly involving the use of ICT. He also investigates methods for capturing and integrating user requirements in user-centred design and implementation processes. He has worked on a number of rail-related projects including understanding situation awareness in rail traffic control, driver advisory for capacity management, evaluating the impact of procedural change on signalling workload and awareness, and on passenger and end-to-end journey experience to encourage modal shift. He is currently also academic supervisor on two TSB funded KTPs - one on competency management for non-technical skills in the rail industry, and one on workload modelling for rail control.
Professor Sarah Sharples is a Professor of Human Factors in the School of Mechanical, Materials and Manufacturing Engineering at the University of Nottingham and Head of the Human Factors Research Group. She completed her PhD in 1999 on methodological and theoretical issues in the assessment of participants' experiences of virtual environments. She has been a researcher, research manager or grant holder on a number of industrial, government and EU funded projects, including a long term programme of research for Network Rail examining implications, design and implementation of novel interfaces for railway control and use of rail simulation for human factors research. She is a CI in the MATCH IMRC, Horizon Digital Economy Research hub and Training Programme Manager of the Horizon Doctoral Training Centre. She has supervised PhD students in a range of areas, including situation awareness in virtual environments, impact of automation, use of handheld technologies and development of 3D information displays. She is a registered ergonomist, and her main areas of interest and expertise are Human-Computer Interaction, cognitive ergonomics and development of quantitative and qualitative research methodologies for examination of interaction with innovative technologies in complex systems. She is Associate Dean of the Graduate School for the Faculty of Engineering.