Driver Acceptance of New Technology (eBook, PDF)
Theory, Measurement and Optimisation
Redaktion: Horberry, Tim; Stevens, Alan; Regan, Michael A.
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Driver Acceptance of New Technology (eBook, PDF)
Theory, Measurement and Optimisation
Redaktion: Horberry, Tim; Stevens, Alan; Regan, Michael A.
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This book collects into a single, edited volume the accumulating body of thinking and research on driver and operator acceptance of new technology. Bringing together contributions from international experts from around the world, the editors have shaped a book that covers the theory behind acceptance, how it can be measured and how it can be improved. Case studies are presented that provide data on driver acceptance of a wide range of new and emerging vehicle technology.
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- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 384
- Erscheinungstermin: 3. September 2018
- Englisch
- ISBN-13: 9781317147947
- Artikelnr.: 54059423
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
- Verlag: Taylor & Francis
- Seitenzahl: 384
- Erscheinungstermin: 3. September 2018
- Englisch
- ISBN-13: 9781317147947
- Artikelnr.: 54059423
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
overview, Michael A. Regan, Alan Stevens and Tim Horberry. Part II Theories
and Models of Driver Acceptance: The definition of acceptance and
acceptability, Emeli Adell, András Várhelyi and Lena Nilsson; Modelling
acceptance of driver assistance systems: application of the unified theory
of acceptance and use of technology, Emeli Adell, András Várhelyi and
Lena Nilsson; Socio-psychological factors that influence acceptability of
intelligent transport systems; a model, Sven Vlassenroot and Karel
Brookhuis; Modelling driver acceptance: from feedback to monitoring and
mentoring systems, Mahtab Ghazizadeh and John D. Lee. Part III Measurement
of Driver Acceptance: How is acceptance measured? Overview of measurement
issues, methods and tools, Emeli Adell, Lena Nilsson and András Várhelyi;
Measuring acceptability through questionnaires and focus groups, Eve
Mitsopoulos-Rubens and Michael A. Regan; The profile of emotional designs:
a tool for the measurement of affective and cognitive responses to
in-vehicle innovations, Robert Edmunds, Lisa Dorn and Lee Skrypchuk; An
empirical method for quantifying drivers' level of acceptance of alerts
issued by automotive active safety systems, Jan-Erik Kÿllhammer, Kip Smith
and Erik Hollnagel. Part IV Data on Driver Acceptance: Case Studies: Driver
acceptance of in-vehicle information, assistance and automated systems: an
overview, Gary Burnett and Cyriel Diels; Driver acceptance of electric
vehicles: findings from the French MINI E study, Elodie Labeye, Corinne
Brusque and Michael A. Regan; User-centred design and evaluation as a
prerequisite for the success of disruptive innovations: an electric vehicle
case study, Roman Vilimek and Andreas Keinath; Motorcycle riders'
acceptance of advanced rider assistance systems, Véronique Huth; Driver
acceptance of technologies deployed within the road infrastructure, Alan
Stevens and Nick Reed; Operator assistance o
overview, Michael A. Regan, Alan Stevens and Tim Horberry. Part II Theories
and Models of Driver Acceptance: The definition of acceptance and
acceptability, Emeli Adell, András Várhelyi and Lena Nilsson; Modelling
acceptance of driver assistance systems: application of the unified theory
of acceptance and use of technology, Emeli Adell, András Várhelyi and
Lena Nilsson; Socio-psychological factors that influence acceptability of
intelligent transport systems; a model, Sven Vlassenroot and Karel
Brookhuis; Modelling driver acceptance: from feedback to monitoring and
mentoring systems, Mahtab Ghazizadeh and John D. Lee. Part III Measurement
of Driver Acceptance: How is acceptance measured? Overview of measurement
issues, methods and tools, Emeli Adell, Lena Nilsson and András Várhelyi;
Measuring acceptability through questionnaires and focus groups, Eve
Mitsopoulos-Rubens and Michael A. Regan; The profile of emotional designs:
a tool for the measurement of affective and cognitive responses to
in-vehicle innovations, Robert Edmunds, Lisa Dorn and Lee Skrypchuk; An
empirical method for quantifying drivers' level of acceptance of alerts
issued by automotive active safety systems, Jan-Erik Kÿllhammer, Kip Smith
and Erik Hollnagel. Part IV Data on Driver Acceptance: Case Studies: Driver
acceptance of in-vehicle information, assistance and automated systems: an
overview, Gary Burnett and Cyriel Diels; Driver acceptance of electric
vehicles: findings from the French MINI E study, Elodie Labeye, Corinne
Brusque and Michael A. Regan; User-centred design and evaluation as a
prerequisite for the success of disruptive innovations: an electric vehicle
case study, Roman Vilimek and Andreas Keinath; Motorcycle riders'
acceptance of advanced rider assistance systems, Véronique Huth; Driver
acceptance of technologies deployed within the road infrastructure, Alan
Stevens and Nick Reed; Operator assistance o