Driver Adaptation to Information and Assistance Systems
IET Digital Library
This title is available electronically through the IET Digital Library
Author: Alan Stevens, Corinne Brusque and Joseph Krems
Product Code: PBSP0090
Pagination: 382 pp.
Stock Status: In stock
£61.10 Member price
£94.00 Full price
Driver Adaptation to Information and Assistance Systems brings together recent work by the project ADAPTATION, to provide a better understanding of drivers’ adaption processes, the effect of technology use, the impact of age and the effects of the system’s performance and the level of automation.
This book is based on the research carried out within ADAPTATION, the Marie-Curie co-funded Initial Training Network project which has studied drivers’ behavioural adaptation to new driver information and assistance technologies from an integrative perspective.
Driver information and assistance systems have emerged as an integral part of modern road vehicles in order to support the driver while driving. They make use of the newest information technologies in order to enhance driver awareness, safety and comfort, and thereby avoiding driver errors and accidents.
The book aims to provide the reader with;
- A better understanding of drivers’ adaptation processes
Following information and assistance system use at different levels (regulatory level, cognitive level, motivational level
- The effects of technology use on drivers’ behaviour
Perspectives to distinguish the short-, medium- and long-term effects
- The impact of age
An appreciation of the impact this driver characteristic has on technology use and skill acquisition
- The effects of the system’s performance and the level of automation
Important system characteristics influencing drivers’ adaptation
About the Editors
Alan Stevens is Chief Research Scientist and Research Director, Transportation, at the Transport Research Laboratory (TRL), in the UK, where he has been working on the application of new technology to transport for 25 years. He is an internationally recognised expert in human-machine interaction (HMI) in the driving environment and is Editor-in-Chief of the international peer-reviewed journal, IET Intelligent Transport Systems.
Corinne Brusque has been Scientific Director in charge of the evaluation of research units and researchers at Ifsttar (French Institute of Science and Technology for Transport, Development and Networks) since 2013. Her main research topics concern the factors affecting in-vehicle technology adoption, drivers’ exposure to distraction related to in-vehicle technologies and the impact of in-vehicle technologies on drivers’ behaviour.
Josef Krems is Professor of Cognitive and Industrial Psychology at Chemnitz University of Technology. His current research projects focus on three areas: traffic and transport (safety, driver assistance, green driving and sustainability); human factors (human-machine interaction, usability); and user acceptance. He has published or co-edited 15 books and more than 150 papers in books, scientific journals and congress proceedings.
Driver Adaptation to Information and Assistance Systems will be of interest to academics working in behavioural adaptation to new technologies, as well as professionals in automotive companies and equipment manufacturers, product designers and suppliers, government transport and safety agencies, and road safety managers.
1 The ADAPTATION project
2 Behavioural adaptation in response to driving assistance
technologies: A literature review
3 Methods to assess behavioural adaptation over time as a result of ADAS use
4 Effect of ADAS use on drivers’ information processing
and Situation Awareness
5 Early adopters’ mental model of Adaptive Cruise
Control (ACC) and its influence on behavioural adaptation
to the system
6 Intelligent driver support systems: Effects of learning and aging
7 Researching safety issues with intersection assistance systems for the older driver
8 Motivational factors when investigating ADAS impacts on driver behaviour
9 Drivers’ adaptation to mobile phone use: Interaction strategies, consequences on driving behaviour and potential
impact on road safety
10 Evaluating the potential for workload based driving
assistance systems from a psychological, technological
and physiological perspective
11 Distraction and inattention prevention by combining Behaviour-Based Safety with Advanced Driver Assistance Systems
12 Effectiveness of Forward Collision Warning Systems:
A contribution from the cognitive analysis combining
behavioural and electrophysiological measurements
13 Introduction of automated platooning in traffic: What is the
impact on non-automated drivers? – An analysis of the
influence of the short time headways held by automated platoons
14 User-centred design approach to model scenarios
on driving simulators
15 Development of a database for storage and analysis
of behavioural data
16 Synthesis of new knowledge on adaptation processes in response
to ADAS and associated advances in research methods
17 Recommendations for research on drivers’ behavioural
adaptation and for the design and deployment of ADAS