Zugl.: Regensburg, Universiẗat, Diss., 2007.

This work provides an in-depth-view of driver motivational aspects when driver assistance Systems (DAS) are considered. Thereby, the role of driver actual experience with DAS use was also identified and highlighted. A central outcome of this thesis is the STADIUM model describing the interplay of motivational factors that determine the engagement in secondary activities while taking actual DAS use experience into account. The role of motives in showing attentive behaviour depending on DAS (the navigation system) could also be underlined. The relevance, enrichment and need of combining qualitative and quantitative approaches when the effects of safety countermeasures on driver behaviour are investigated could also be shown. The results are discussed in terms of hierarchical driver behaviour models, the theory of planned behaviour and its extended versions and the strengths of the introduced studies and limitations. Implications for traffic safety are provided and future research issues are recommended. / Diese Arbeit liefert einen gründlichen Einblick, welche Rolle motivationale Aspekte spielen, wenn Fahrerassistenzsysteme (FAS) genutzt werden. Dabei wurde auch die Funktion der tatsächlichen Erfahrung mit FAS identifiziert und hervorgehoben. Ein zentrales Ergebnis dieser Arbeit ist das STADIUM Modell, welches das Zusammenspiel motivationaler Faktoren in Abhängigkeit von der tatsächlichen Erfahrung mit FAS erklärt, die wiederum bestimmen, inwieweit und ob andere Aktivitäten während des Fahrens ausgeführt werden. Außerdem konnte unterstrichen werden, welche Rolle Motive spielen, aufmerksames Verhalten in Abhängigkeit von der Nutzung von FAS (dem Navigationssystem) zu zeigen. Zusätzlich konnte dargestellt werden, wie relevant, bereichernd und nützlich es ist, qualitative und quantitative Methoden zu kombinieren, wenn die Effekte von FAS auf das FahrerInnenverhalten untersucht werden. Die Ergebnisse werden diskutiert indem auf hierarchische Fahrerverhaltensmodelle, auf die Theorie des geplanten Verhaltens und ihre erweiterten Versionen und auf die Stärken und Schwächen der Studien Bezug genommen wird. Es werden Implikationen dargestellt und zukünftige Forschungsfragen und Problemstellungen empfohlen.

Die Fragestellung dieser Arbeit ist ob derzeit angebotene e-Government Systeme von älteren Nutzern angenommen werden und wie solche aufgebaut werden müssen, damit diese Nutzergruppe solche Systeme als eine nützliche Alternative zu Behördengängen annimmt. In unserer Forschung haben wir erforscht wie solche Anwendungen, welche von der Verwaltung für die gesamte Bevölkerung angeboten werden, aufgebaut werden sollten, damit diese von der gesamten Bevölkerung erfolgreich genutzt werde können. Zur Beantwortung dieser Fragestellung wurde eine dreistufige Forschung durchgeführt, welche an das ISO 9241-210 Entwicklungsmodell angelehnt ist. Die Forschung wurde parallel in Deutschland und Ungarn in Kooperation mit dem Fraunhofer FOKUS, dem Bundesministerium des Innern, der Bundesdruckerei und der Corvinus Universität Budapest durchgeführt. In der ersten Phase wurden die Erwartungen und Vorkenntnisse der Zielgruppe erforscht um die Eckpunkte und Prämissen festlegen zu können. Diese Erkenntnisse ermöglichten in der zweiten Phase die fundierte Auswahl einer Anwendung, welche als Basis für Nutzertests genutzt werden konnte. Die Testanwendung war das AusweisApp des elektronischen Personalausweises. Bei diesen Tests wurden die Nutzerfehler erfasst und die Akzeptanz durch die ASQ Methode gemessen. Anhand der gewonnen Erkenntnisse konnte die Guideline IGUAN entwickelt werden, welche eine standardisierte Herangehensweise zur Akzeptanzsteigerung darstellt. Dieses Konzept beinhaltet neben den speziellen, an ältere Nutzer angepassten Anforderungen, einem Kriterienkatalog, sowie die Abbildung der Prozesse wodurch eine Erhöhung der Akzeptanz für Ältere ermöglicht wird. In der dritten Phase der Forschung konnte die Guideline durch eine iterative Prototypentwicklung evaluiert und geprüft werden. Wir konnten beweisen, dass Verbesserungen beim Interface e-Government Anwendungen an die alternde Gesellschaft näher bringen, die Motivation erhöhen und das Nutzerempfinden nachhaltig verbessern. / Our research focuses on the question of acceptance of current e-government systems by elderly users. It describes how such systems should be designed and offered for this user group in order to provide an acceptable alternative to offline processes. In order to answer our research question, the research was structured into three phases along the development model of the ISO 9241-210. This enabled to identify not only the main factors of acceptance, but also the expectations of elderly users. Our research was conducted in parallel in Germany and Hungary in cooperation with the Fraunhofer FOKUS, the Federal Ministry of Interior, the Bundesdruckerei and the Corvinus University Budapest. The first phase of our research provided results about the expectations and previous experience of the users with e-government systems. This set the premises for the next phases of our research and provided us with information about the theoretical acceptance of systems by the age group. The results made it possible to select an application in the second phase, which was used as a model in the remaining phases. The selected application was the AusweisApp of the electronic ID card. The test measured the encountered errors and the acceptance of the system with the ASQ method. The obtain results allowed us to develop a generalised solution, the IGUAN guideline. This guideline makes a standardised approach to the usability improvement process possible. It contains the special requirements of elderly users, and a catalogue of criteria, which helps to develop an application in line with the set requirements. The third phase of our research was used a proof of concept for the IGUAN. The guideline was evaluated and tested with an iterative prototyping. We could therefore demonstrate that improvements in the interface make e-government application possible which are perceived useful and easy to use by elderly users. These improvements will measurably increase the user motivation and experience.

This work provides an in-depth-view of driver motivational aspects when driver assistance Systems (DAS) are considered. Thereby, the role of driver actual experience with DAS use was also identified and highlighted. A central outcome of this thesis is the STADIUM model describing the interplay of motivational factors that determine the engagement in secondary activities while taking actual DAS use experience into account. The role of motives in showing attentive behaviour depending on DAS (the navigation system) could also be underlined. The relevance, enrichment and need of combining qualitative and quantitative approaches when the effects of safety countermeasures on driver behaviour are investigated could also be shown. The results are discussed in terms of hierarchical driver behaviour models, the theory of planned behaviour and its extended versions and the strengths of the introduced studies and limitations. Implications for traffic safety are provided and future research issues are recommended.:Table of Content ACKNOWLEDGEMENTS III LIST OF INCLUDED PUBLICATIONS III SUMMARY VII ZUSAMMENFASSUNG XIII TABLE OF CONTENT XXI LIST OF FIGURES XXVII LIST OF TABLES XXXI 1. INTRODUCTION 1 1.1. Outline 2 1.2. Theoretical Background 3 1.2.1. Understanding driver behaviour: models and approaches that aim at describing driver behaviour. 3 1.2.2. Motivation and driving. 13 1.2.3. The role of motivation in behavioural adaptation due to driver assistance system use. 15 1.2.3.1. Driver assistance systems 15 1.2.3.2. Actual DAS use experience 24 1.2.4. Relevant motivational influence factors based on the Theory of Planned Behaviour. 25 1.2.4.1. Perceived risk 29 1.2.4.2. Perceived behavioural control 30 1.2.4.3. Norms 32 1.2.4.4. Attitudes towards reckless driving 33 1.2.4.5. Attitudes towards DAS 34 1.2.4.6. The intention to carry out concurrent activities to the driving tasks 35 1.2.5. Applying qualitative or quantitative methods when effects of DAS use on driver behaviour are investigated? 37 1.3. Objectives 41 2. STUDY I - ON THE INTERPLAY OF ACTUAL DAS USE EXPERIENCE AND MOTIVATIONAL FACTORS DETERMINING DRIVERS’ ENGAGEMENT IN SECONDARY ACTIVITIES – A THEORETICAL MODEL 45 2.1. Introduction 46 2.2. Methods 49 2.2.1. Focus group discussions. 49 2.2.2. Participants. 49 2.2.3. Procedure. 51 2.2.4. Data analysis. 54 2.3. Findings and Model Development 55 2.3.1. Perceived risk while driving. 55 2.3.2. Perceived behavioural control. 57 2.3.3. Safety-related beliefs concerning DAS: attitudes towards-, and norms concerning-, DAS. 59 2.4. Discussion 65 2.4.1. The STADIUM model. 65 2.4.2. Strengths and limitations. 66 3. STUDY IIA – THE STADIUM MODEL: SECONDARY ACTIVITY ENGAGEMENT DEPENDING ON THE INFLUENCE OF DAS USE EXPERIENCE ON MOTIVATIONAL FACTORS 69 3.1. Introduction 70 3.2. Methods 72 3.2.1. Participants. 72 3.2.2. Questionnaire. 73 3.2.2.1. DAS use experience 74 3.2.2.2. Motivational factors 75 3.2.2.3. Target behaviour: Intentions to carry out secondary activities while driving 76 3.2.3. Data analysis. 76 3.3. Results 78 3.3.1. DAS use experience: Chi-Squares and correlations. 78 3.3.2. Item analysis. 78 3.3.3. Correlations and Partial correlations. 79 3.3.4. The path analysis. 80 3.4. Discussion 82 3.4.1. Strengths and limitations. 87 4. STUDY IIB – THE ROLE OF DRIVER ASSISTANCE EXPERIENCE, SYSTEM FUNCTIONALITY, GENDER, AGE AND SENSATION SEEKING IN ATTITUDES TOWARDS THE SAFETY OF DRIVER ASSISTANCE SYSTEMS 91 4.1. Introduction 92 4.1.1. System functionality. 93 4.1.2. Driver characteristics. 94 4.1.2.1. Actual DAS use experience 94 4.1.2.2. Gender 96 4.1.2.3. Sensation seeking & age 97 4.1.3. Objectives & hypotheses. 98 4.2. Methods 98 4.2.1. Participants. 98 4.2.2. Questionnaire. 99 4.2.2.1. DAS use experience 99 4.2.2.2. Attitudes towards DAS 99 4.2.3. Data analysis. 100 4.3. Results 101 4.3.1. Gender differences. 106 4.3.2. Sensation seeking. 108 4.3.3. Age. 108 4.3.4. Actual DAS use experience. 110 4.4. Discussion 111 5. STUDY III – LOOK WHERE YOU HAVE TO GO! A FIELD STUDY COMPARING GLANCE BEHAVIOUR AT URBAN INTERSECTIONS USING A NAVIGATION SYSTEM OR A PRINTED ROUTE INSTRUCTION 117 5.1. Introduction 118 5.1.1. Behavioural effects of navigation system use. 119 5.1.2. Errors in visual attention allocation: The looked but failed to see phenomenon. 121 5.1.3. The navigation task and hierarchical models of driver behaviour. 122 5.1.4. Objectives. 124 5.1.5. Hypotheses. 124 5.2. Methods 126 5.2.1. Participants. 127 5.2.2. Standardised test drives. 127 5.2.3. Materials. 128 5.2.4. Data analysis procedure. 129 5.3. Results 132 5.3.1. Results from the descriptive, qualitative observation analysis. 132 5.3.2. Quantitative results. 135 5.3.2.1. Drivers’ reactions to pedestrians and/or cyclists who intend to cross 135 5.3.2.2. Driving Speed 136 5.3.2.3. Number of Glances 139 5.3.2.3.1. Areas of interest 139 5.3.2.4. Time looking to the areas of interest 142 5.3.2.4.1. Areas of interest: distribution of glances 142 5.3.2.4.2. Proportionate time looking to the areas of interest related to intersection passing duration 142 5.3.3. Summary of results from the qualitative and the quantitative analyses. 145 5.4. Conclusion 146 5.4.1. Driving speed. 147 5.4.2. Glance behaviour 147 5.4.3. Drivers’ reactions to pedestrians and cyclists. 150 5.4.4. Overall safety effect of type of route guidance 151 5.5. Discussion 152 5.5.1. Field drives: internal and external validity. 152 5.5.2. Experienced navigation system users. 154 5.5.3. Combination of qualitative and quantitative research. 154 5.5.4. Areas of interest. 156 5.5.5. Look but failed to see. 156 5.5.6. Presence of pedestrians and/ or cyclists. 157 5.5.7. Transition towards higher levels of automation. 157 6. FINAL DISCUSSION AND OVERALL CONCLUSION 161 6.1. Looking back, looking ahead 162 6.2. Hierarchical driver behaviour models: Be motivated to pay attention 163 6.3. The STADIUM model 166 6.3.1. Comparison with the Theory of Planned Behaviour. 167 6.3.2. The STADIUM model and its relevance for understanding driver behaviour. 168 6.4. Applying qualitative or quantitative methods when effects of DAS use on driver behaviour are investigated? 169 6.5. Limitations of this research 171 6.6. Implications 175 6.6.1. Individual & DAS. 175 6.6.2. Society & DAS. 177 6.7. Outline: Recommendations for future research 179 7. REFERENCES 183 8. ANNEX: OVERVIEW OF STUDIES THAT INVESTIGATED DRIVER BEHAVIOUR 209 EIDESSTATTLICHE ERKLÄRUNG 219 CURRICULUM VITAE 220 Personal Details 220 Scientific Education 221 Professional Experience in Science 222 Awards & Fellowship 223 Publications 224 Journal Paper 224 Book Chapter 225 Conferences 226 / Diese Arbeit liefert einen gründlichen Einblick, welche Rolle motivationale Aspekte spielen, wenn Fahrerassistenzsysteme (FAS) genutzt werden. Dabei wurde auch die Funktion der tatsächlichen Erfahrung mit FAS identifiziert und hervorgehoben. Ein zentrales Ergebnis dieser Arbeit ist das STADIUM Modell, welches das Zusammenspiel motivationaler Faktoren in Abhängigkeit von der tatsächlichen Erfahrung mit FAS erklärt, die wiederum bestimmen, inwieweit und ob andere Aktivitäten während des Fahrens ausgeführt werden. Außerdem konnte unterstrichen werden, welche Rolle Motive spielen, aufmerksames Verhalten in Abhängigkeit von der Nutzung von FAS (dem Navigationssystem) zu zeigen. Zusätzlich konnte dargestellt werden, wie relevant, bereichernd und nützlich es ist, qualitative und quantitative Methoden zu kombinieren, wenn die Effekte von FAS auf das FahrerInnenverhalten untersucht werden. Die Ergebnisse werden diskutiert indem auf hierarchische Fahrerverhaltensmodelle, auf die Theorie des geplanten Verhaltens und ihre erweiterten Versionen und auf die Stärken und Schwächen der Studien Bezug genommen wird. Es werden Implikationen dargestellt und zukünftige Forschungsfragen und Problemstellungen empfohlen.:Table of Content ACKNOWLEDGEMENTS III LIST OF INCLUDED PUBLICATIONS III SUMMARY VII ZUSAMMENFASSUNG XIII TABLE OF CONTENT XXI LIST OF FIGURES XXVII LIST OF TABLES XXXI 1. INTRODUCTION 1 1.1. Outline 2 1.2. Theoretical Background 3 1.2.1. Understanding driver behaviour: models and approaches that aim at describing driver behaviour. 3 1.2.2. Motivation and driving. 13 1.2.3. The role of motivation in behavioural adaptation due to driver assistance system use. 15 1.2.3.1. Driver assistance systems 15 1.2.3.2. Actual DAS use experience 24 1.2.4. Relevant motivational influence factors based on the Theory of Planned Behaviour. 25 1.2.4.1. Perceived risk 29 1.2.4.2. Perceived behavioural control 30 1.2.4.3. Norms 32 1.2.4.4. Attitudes towards reckless driving 33 1.2.4.5. Attitudes towards DAS 34 1.2.4.6. The intention to carry out concurrent activities to the driving tasks 35 1.2.5. Applying qualitative or quantitative methods when effects of DAS use on driver behaviour are investigated? 37 1.3. Objectives 41 2. STUDY I - ON THE INTERPLAY OF ACTUAL DAS USE EXPERIENCE AND MOTIVATIONAL FACTORS DETERMINING DRIVERS’ ENGAGEMENT IN SECONDARY ACTIVITIES – A THEORETICAL MODEL 45 2.1. Introduction 46 2.2. Methods 49 2.2.1. Focus group discussions. 49 2.2.2. Participants. 49 2.2.3. Procedure. 51 2.2.4. Data analysis. 54 2.3. Findings and Model Development 55 2.3.1. Perceived risk while driving. 55 2.3.2. Perceived behavioural control. 57 2.3.3. Safety-related beliefs concerning DAS: attitudes towards-, and norms concerning-, DAS. 59 2.4. Discussion 65 2.4.1. The STADIUM model. 65 2.4.2. Strengths and limitations. 66 3. STUDY IIA – THE STADIUM MODEL: SECONDARY ACTIVITY ENGAGEMENT DEPENDING ON THE INFLUENCE OF DAS USE EXPERIENCE ON MOTIVATIONAL FACTORS 69 3.1. Introduction 70 3.2. Methods 72 3.2.1. Participants. 72 3.2.2. Questionnaire. 73 3.2.2.1. DAS use experience 74 3.2.2.2. Motivational factors 75 3.2.2.3. Target behaviour: Intentions to carry out secondary activities while driving 76 3.2.3. Data analysis. 76 3.3. Results 78 3.3.1. DAS use experience: Chi-Squares and correlations. 78 3.3.2. Item analysis. 78 3.3.3. Correlations and Partial correlations. 79 3.3.4. The path analysis. 80 3.4. Discussion 82 3.4.1. Strengths and limitations. 87 4. STUDY IIB – THE ROLE OF DRIVER ASSISTANCE EXPERIENCE, SYSTEM FUNCTIONALITY, GENDER, AGE AND SENSATION SEEKING IN ATTITUDES TOWARDS THE SAFETY OF DRIVER ASSISTANCE SYSTEMS 91 4.1. Introduction 92 4.1.1. System functionality. 93 4.1.2. Driver characteristics. 94 4.1.2.1. Actual DAS use experience 94 4.1.2.2. Gender 96 4.1.2.3. Sensation seeking & age 97 4.1.3. Objectives & hypotheses. 98 4.2. Methods 98 4.2.1. Participants. 98 4.2.2. Questionnaire. 99 4.2.2.1. DAS use experience 99 4.2.2.2. Attitudes towards DAS 99 4.2.3. Data analysis. 100 4.3. Results 101 4.3.1. Gender differences. 106 4.3.2. Sensation seeking. 108 4.3.3. Age. 108 4.3.4. Actual DAS use experience. 110 4.4. Discussion 111 5. STUDY III – LOOK WHERE YOU HAVE TO GO! A FIELD STUDY COMPARING GLANCE BEHAVIOUR AT URBAN INTERSECTIONS USING A NAVIGATION SYSTEM OR A PRINTED ROUTE INSTRUCTION 117 5.1. Introduction 118 5.1.1. Behavioural effects of navigation system use. 119 5.1.2. Errors in visual attention allocation: The looked but failed to see phenomenon. 121 5.1.3. The navigation task and hierarchical models of driver behaviour. 122 5.1.4. Objectives. 124 5.1.5. Hypotheses. 124 5.2. Methods 126 5.2.1. Participants. 127 5.2.2. Standardised test drives. 127 5.2.3. Materials. 128 5.2.4. Data analysis procedure. 129 5.3. Results 132 5.3.1. Results from the descriptive, qualitative observation analysis. 132 5.3.2. Quantitative results. 135 5.3.2.1. Drivers’ reactions to pedestrians and/or cyclists who intend to cross 135 5.3.2.2. Driving Speed 136 5.3.2.3. Number of Glances 139 5.3.2.3.1. Areas of interest 139 5.3.2.4. Time looking to the areas of interest 142 5.3.2.4.1. Areas of interest: distribution of glances 142 5.3.2.4.2. Proportionate time looking to the areas of interest related to intersection passing duration 142 5.3.3. Summary of results from the qualitative and the quantitative analyses. 145 5.4. Conclusion 146 5.4.1. Driving speed. 147 5.4.2. Glance behaviour 147 5.4.3. Drivers’ reactions to pedestrians and cyclists. 150 5.4.4. Overall safety effect of type of route guidance 151 5.5. Discussion 152 5.5.1. Field drives: internal and external validity. 152 5.5.2. Experienced navigation system users. 154 5.5.3. Combination of qualitative and quantitative research. 154 5.5.4. Areas of interest. 156 5.5.5. Look but failed to see. 156 5.5.6. Presence of pedestrians and/ or cyclists. 157 5.5.7. Transition towards higher levels of automation. 157 6. FINAL DISCUSSION AND OVERALL CONCLUSION 161 6.1. Looking back, looking ahead 162 6.2. Hierarchical driver behaviour models: Be motivated to pay attention 163 6.3. The STADIUM model 166 6.3.1. Comparison with the Theory of Planned Behaviour. 167 6.3.2. The STADIUM model and its relevance for understanding driver behaviour. 168 6.4. Applying qualitative or quantitative methods when effects of DAS use on driver behaviour are investigated? 169 6.5. Limitations of this research 171 6.6. Implications 175 6.6.1. Individual & DAS. 175 6.6.2. Society & DAS. 177 6.7. Outline: Recommendations for future research 179 7. REFERENCES 183 8. ANNEX: OVERVIEW OF STUDIES THAT INVESTIGATED DRIVER BEHAVIOUR 209 EIDESSTATTLICHE ERKLÄRUNG 219 CURRICULUM VITAE 220 Personal Details 220 Scientific Education 221 Professional Experience in Science 222 Awards & Fellowship 223 Publications 224 Journal Paper 224 Book Chapter 225 Conferences 226