Driver Acceptance of New Technology: Theory, Measurement and Optimisation

380 Pages·2014·3.22 MB·English

by  Michael A. Regan

Driver AcceptAnce of new technology
human factors in road
and rail transport
Series editors
Dr Lisa Dorn
Director of the Driving Research Group, Department of Human Factors,
Cranfield University
Dr Gerald Matthews
Professor of Psychology at the University of Cincinnati
Dr Ian Glendon
Associate Professor of Psychology at Griffith University, Queensland,
and President of the Division of Traffic and Transportation Psychology
of the International Association of Applied Psychology
Today’s society confronts major land transport problems. Human and financial
costs of road vehicle crashes and rail incidents are increasing, with road vehicle
crashes predicted to become the third largest cause of death and injury globally
by 2020. Several social trends pose threats to safety, including increasing vehicle
ownership and traffic congestion, advancing technological complexity at the
human-vehicle interface, population ageing in the developed world, and ever
greater numbers of younger vehicle drivers in the developing world.
Ashgate’s human factors in road and rail transport series makes a timely
contribution to these issues by focusing on human and organisational aspects
of road and rail safety. the series responds to increasing demands for safe,
efficient, economical and environmentally-friendly land-based transport. It does
this by reporting on state-of-the-art science that may be applied to reduce vehicle
collisions and improve vehicle usability as well as enhancing driver wellbeing
and satisfaction. it achieves this by disseminating new theoretical and empirical
research generated by specialists in the behavioural and allied disciplines,
including traffic and transportation psychology, human factors and ergonomics.
the series addresses such topics as driver behaviour and training, in-vehicle
technology, driver health and driver assessment. Specially commissioned works
from internationally recognised experts provide authoritative accounts of leading
approaches to real-world problems in this important field.
Driver Acceptance
of new technology
theory, Measurement and optimisation
edited by
MichAel A. regAn
University of New South Wales, Australia
tiM horberry
University of Queensland, Australia, and University of Cambridge, UK
AlAn StevenS
Transport Research Laboratory (TRL), UK
© Michael A. regan, tim horberry and Alan Stevens and the contributors 2014
All rights reserved. no part of this publication may be reproduced, stored in a retrieval
system or transmitted in any form or by any means, electronic, mechanical, photocopying,
recording or otherwise without the prior permission of the publisher.
Michael A. regan, tim horberry and Alan Stevens have asserted their right under the
Copyright, Designs and Patents Act, 1988, to be identified as the editors of this work.
published by
Ashgate publishing limited Ashgate publishing company
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Union road Suite 3-1
farnham burlington, vt 05401-3818
Surrey, gU9 7pt USA
england
www.ashgate.com
British Library Cataloguing in Publication Data
A catalogue record for this book is available from the british library
The Library of Congress has cataloged the printed edition as follows:
regan, Michael A., author.
Driver acceptance of new technology: theory, measurement and optimisation / by
Michael A. regan, tim horberry and Alan Stevens.
pages cm—(human factors in road and rail transport)
Includes bibliographical references and index.
iSbn 978-1-4094-3984-4 (hardback: alk. paper)—iSbn 978-1-4094-3985-1 (ebook)—
iSbn 978-1-4724-0585-2 (epub)
1. Motor vehicle drivers—psychology. 2. Motor vehicle drivers—Attitudes. 3.
Automobiles—technological innovations. 4. highway engineering—technological
innovations. 5. Motor vehicle driving—technological innovations—psychological
aspects. 6. Highway communications—Technological innovations. 7. Traffic safety—
technological innovations. i. horberry, tim, author. ii. Stevens, A. (researcher in
transportation), author. iii. title. iv. Series: human factors in road and rail transport.
tl152.3.r38 2014
629.28’304—dc23
2013025915
iSbn 9781409439844 (hbk)
iSbn 9781409439851 (ebk – pDf)
iSbn 9781472405852 (ebk – epUb)
V
contents
List of Figures ix
List of Tables xi
About the Editors xiii
List of Contributors xv
Acknowledgements xix
PART I: INTRODUCTION
1 Driver Acceptance of new technology: overview 3
Michael A. Regan, Alan Stevens and Tim Horberry
PART II: THEORIES AND MODELS OF DRIVER ACCEPTANCE
2 The Definition of Acceptance and Acceptability 11
Emeli Adell, András Várhelyi and Lena Nilsson
3 Modelling Acceptance of Driver Assistance Systems:
Application of the Unified Theory of Acceptance and
Use of technology 23
Emeli Adell, András Várhelyi and Lena Nilsson
4 Socio-Psychological Factors That Influence Acceptability
of Intelligent Transport Systems: A Model 35
Sven Vlassenroot and Karel Brookhuis
5 Modelling Driver Acceptance: From Feedback to Monitoring
and Mentoring Systems 51
Mahtab Ghazizadeh and John D. Lee
PART III: MEASUREMENT OF DRIVER ACCEPTANCE
6 How Is Acceptance Measured? Overview of Measurement
Issues, Methods and Tools 73
Emeli Adell, Lena Nilsson and András Várhelyi
7 Measuring Acceptability through Questionnaires and
Focus Groups 89
Eve Mitsopoulos-Rubens and Michael A. Regan
vi Driver Acceptance of New Technology
8 The Profile of Emotional Designs: A Tool for the
Measurement of Affective and Cognitive Responses
to In-Vehicle Innovations 105
Robert Edmunds, Lisa Dorn and Lee Skrypchuk
9 An Empirical Method for Quantifying Drivers’ Level
of Acceptance of Alerts Issued by Automotive Active
Safety Systems 121
Jan-Erik Källhammer, Kip Smith and Erik Hollnagel
PART Iv: dATA on dRIveR AccePTAnce: cAse sTudIes
10 Driver Acceptance of In-Vehicle Information, Assistance
and Automated Systems: An Overview 137
Gary Burnett and Cyriel Diels
11 Driver Acceptance of Electric Vehicles: Findings from
the French MINI E Study 153
Elodie Labeye, Corinne Brusque and Michael A. Regan
12 User-Centred Design and Evaluation as a Prerequisite
for the Success of Disruptive Innovations: An Electric
Vehicle Case Study 169
Roman Vilimek and Andreas Keinath
13 Motorcycle Riders’ Acceptance of Advanced Rider
Assistance Systems 187
Véronique Huth
14 Driver Acceptance of Technologies Deployed Within the Road
Infrastructure 207
Alan Stevens and Nick Reed
15 Operator Acceptance of New Technology for Industrial
Mobile Equipment 227
Tim Horberry and Tristan Cooke
16 Carrots, Sticks and Sermons: State Policy Tools for
Influencing Adoption and Acceptance of New Vehicle
Safety Systems 241
Matts-Åke Belin, Evert Vedung, Khayesi Meleckidzedeck
and Claes Tingvall
Contents vii
PART v: oPTIMIsIng dRIveR AccePTAnce
17 Designing In-Vehicle Technology for Usability 253
Alan Stevens and Gary Burnett
18 The Emotional and Aesthetic Dimensions of Design:
An Exploration of User Acceptance of Consumer Products
and New Vehicle Technologies 269
William S. Green and Patrick W. Jordan
19 Optimising the Organisational Aspects of Deployment:
Learning from the Introduction of New Technology in
Domains Other than Road Transport 283
Martin C. Maguire
20 Adaptive Policymaking for Intelligent Transport
System Acceptance 299
Jan-Willem van der Pas, Warren E. Walker, Vincent Marchau
and Sven Vlassenroot
21 Designing Automotive Technology for Cross-Cultural
Acceptance 317
Kristie L. Young and Christina M. Rudin-Brown
PART vI: conclusIons
22 Driver Acceptance of New Technology: Synthesis
and Perspectives 335
Alan Stevens, Tim Horberry and Michael A. Regan
Index 349
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list of figures
2.1 the three elements of the acceptance concept 12
2.2 The five categories of acceptance, based on definitions
found in a literature review by Adell (2009) 13
3.1 Regression coefficients and explanatory power for the
UTAUT model when applied to acceptance of the driver
assistance system SASPENCE 31
4.1 Theoretical model 39
4.2 Hypothetical model of the indicators that define acceptability
of ISA 41
5.1 Factors suggesting a mentoring versus a monitoring role 56
5.2 Technology Acceptance Model. Adapted with permission
from Davis et al. (1989). © 1989, the Institute for Operations
Research and the Management Sciences, 7240 Parkway Drive,
Suite 300, Hanover, Maryland 21076 58
5.3 A schematic representation of the driving system with
dashed arrows representing feedback from the driver
support system 59
5.4 Driver support system acceptance model 63
6.1 The three pillars of the acceptance concept 82
8.1 Kano Model Dimensions 109
8.2 Interior and iDrive in target vehicle 115
9.1 A typical alert issued by a Night Vision system with
pedestrian alert 128
9.2 Continuous scale to rate the level of acceptance of an
assumed alert 129
12.1 The transition from early adopters to late adopters in
relation to technology development (reproduced from
Donald A. Norman, The Invisible Computer: Why Good
Products Can Fail, the Personal Computer Is So Complex,
and Information Appliances Are the Solution, figure 2.4,
© 1998 Massachusetts Institute of Technology, by permission
of MIT Press) 171
12.2 The customer-centred development process as implemented
by the BMW Group’s concept quality department 172
12.3 Accumulated MINI E and combustion engine vehicle
daily driving distances 177
12.4 Charging frequency per week in markets with 32 amps wallbox 180
12.5 Usage of ECO PRO mode as percentage of daily driving 183