- AutorIn
- M.Sc. Psych. Maria Kreußlein Technische Universität Chemnitz
- Titel
- Understanding Driver Distraction: A Focus on Socio-demographic, Contextual, and Psychological Factors and Implications for Preventing Distracted Driving
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa2-1033039
- Erstveröffentlichung
- 2026
- Datum der Einreichung
- 18.09.2025
- Datum der Verteidigung
- 12.03.2026
- DOI
- https://doi.org/10.60687/2026-0068
- Abstract (EN)
- In 2023, approximately 1.19 million people died in traffic crashes. In addition, statistics show that almost 50 million people were injured worldwide. Across all age groups, road traffic crashes are the twelfth leading cause of death. Among 5- to 29-year-olds, they are the leading cause of death. Several factors contribute to the high number of traffic crashes, but one of the main factors is distraction caused by non-driving-related activities (NDRT). Any form of distraction that diverts the driver's gaze from the road or their attention from the task of driving can negatively affect driving performance and increase the risk of crashes. Studies suggest that approximately two-thirds of crashes are attributable to distraction while performing the task of driving. A particularly prominent and problematic NDRT for road safety is the usage of mobile phones (MP) while driving, leading to an increase of crash risk of up to five times as studies have found. Despite legal sanctions existing in some countries, this NDRT is not completely eliminated. Even seemingly harmless NDRTs, such as searching for objects while driving, are associated with up to a ninefold increase in the risk of crashes. From this it can be concluded that drivers either do not recognise or underestimate the potential risks. This raises questions about how drivers define ‘distracted driving,’ the circumstances in which they accept the potential risks of distraction caused by an NDRT, and how NDRTs are performed in such situations without resulting in a crash. This dissertation aimed to gain a comprehensive understanding of driver distraction and its influencing factors from the driver's perspective, thus expanding the field of research. This dissertation comprises three empirical papers, one conference paper, and a synopsis which summarises and discusses the theoretical foundations and previous research findings deriving theoretical and practical implications. Three papers in the dissertation are based on the results of a research project ‘Frequency of distractions while driving’ commissioned by the former Federal Ministry of Transport and Digital Infrastructure, represented by the Federal Highway Research Institute. These papers include a naturalistic driving study (NDS) which was combined with semi-structured interviews and a large-scale, nationally representative interview study with driving licence holders in Germany. A further paper presents the results of the BMW-funded project, which analysed data from the SHRP2 study (Campbell, 2012). In summary, the results presented in this dissertation have important implications for developing new strategies and measures to prevent NDRT distraction. It is clear that legal restrictions alone will not lead to a complete reduction in critical NDRTs (e.g., the use of mobile phones). In the case of relatively uncritical NDRTs that are not prohibited, drivers must be informed early on about the potential impact on driving performance and the associated crash risk. Drivers must also be provided with reliable strategies for dealing with critical situations. Information and education programmes on NDRTs should be implemented as part of the process of obtaining a driving licence. Thematic knowledge units that address a wide range of NDRTs, as well as their associated crash risks and consequences for driving, can have a lasting impact on how people approach these activities while driving. Understanding crash risks and their impact on driving behaviour is essential for promoting behavioural changes in the future. The extent to which NDRTs can be distracting can also be experienced in theory lessons and during practice drives, for example in simulators or VR applications. Additionally, imparting knowledge to passengers with no prior experience of driving or the rules of the road also plays a significant role. In the coming years, the consequences of critical smartphone usage patterns among individual drivers are likely to become more apparent, even as safety systems in vehicles continue to advance significantly. From 2026, the use of driver monitoring systems (DMS) that analyse the driver's gaze behaviour and warns them will be mandatory for all newly registered vehicles (European Union, 2019). Vehicles that are already registered and on the road are not affected by this. Against this backdrop, it can be assumed that smartphone-induced distraction will not be entirely reduced in the future. Vehicles without DMS will still be on the road, and drivers will continue to perform NDRTs while adjusting their gaze behaviour. Special smartphone apps (e.g., app blockers) can help to reduce distraction caused by NDRTs, they are not a panacea. Target group-specific campaigns or interventions are always necessary for achieving sustainable behavioural change, especially since legal regulations (or sanctions) are only minimally effective in this regard.
- Andere Ausgabe
- What you see is what you get? Correspondence of video and interview data on secondary task engagement while driving-a naturalistic driving study
DOI: 10.17077/drivingassessment.1695 - Perception of distraction and risk among drivers engaging in non-driving tasks: Findings from a German study
DOI: 10.1016/j.jsr.2024.11.019 - Sociodemographic, contextual and psychological factors predicting secondary task engagement: A nationwide interview study among car drivers in Germany
DOI: 10.1016/j.trf.2024.04.008 - Characterising mobile phone calls while driving on limited-access roads based on SHRP 2 naturalistic driving data
DOI: 10.1016/j.trf.2020.03.002 - Freie Schlagwörter (EN)
- Driver Distraction, Risk, Representative Survey, Naturalistic Driving Study, Mobile Phone
- Klassifikation (DDC)
- 150
- Normschlagwörter (GND)
- Risiko, Kraftwagen, Umfrage
- GutachterIn
- Prof. Dr. Josef F. Krems
- Prof. Dr. Mark Vollrath
- BetreuerIn Hochschule / Universität
- Prof. Dr. Josef F. Krems
- Den akademischen Grad verleihende / prüfende Institution
- Technische Universität Chemnitz, Chemnitz
- Version / Begutachtungsstatus
- aktualisierte Version
- URN Qucosa
- urn:nbn:de:bsz:ch1-qucosa2-1033039
- Veröffentlichungsdatum Qucosa
- 27.03.2026
- Dokumenttyp
- Dissertation
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
- Inhaltsverzeichnis
TABLE OF CONTENTS SUMMARY III ZUSAMMENFASSUNG VII OVERVIEW XV LIST OF FIGURES XVI LIST OF TABLES XVI LIST OF ABBREVIATION XVII 1. INTRODUCTION 1 2. THEORETICAL BACKGROUND 5 2.1. The driving task 5 2.1.1. Hierarchical task model 5 2.1.2. Motivational models 6 2.2. Defining driver distraction 8 2.2.1. Scientific definition of distraction 8 2.2.2. Driver distraction vs. driver inattention 8 2.3. Theoretical approaches on secondary/dual-task performance 9 2.3.1. Multiple resource theory (MRT) 9 2.3.2. Bottleneck theories 10 2.3.3. Distraction as breakdown in multilevel control 10 2.3.4. Minimum required attention theory 12 2.4. Sources of driver distraction 13 2.5. Types of NDRTs 14 2.6. Methods to Assess NDRT Engagement 15 2.6.1. Surveys/questionnaires 15 2.6.2. Observation studies 15 2.6.3. Naturalistic driving studies 15 3. CURRENT RESEARCH FINDINGS 16 3.1. Prevalence of NDRTs 16 3.1.1. Survey studies 16 3.1.2. Observation studies 17 3.2. NDRT engagement and crash risk 19 3.2.1. Phoning 20 3.2.2. Texting 21 3.2.3. Using navigation systems 22 3.2.4. Adjusting vehicle-related settings 22 3.2.5. Hygiene and clothing 23 3.2.6. Passenger interaction 23 3.2.7. Smoking 23 3.2.8. Distraction from outside the vehicle 24 3.2.9. Other activities 24 3.3. Influencing factors on NDRT engagement 24 3.3.1. Driver characteristics 24 3.3.2. Psychological factors 25 3.3.3. Contextual factors 27 3.4. Driver behaviour while NDRT engagement 28 3.4.1. Glances durations 28 3.4.2. Self-regulation 29 4. OVERALL RESEARCH OBJECTIVES OF THE DISSERTATION 30 4.1. Development of a valid research methodology for the assessment of NDRTs 30 4.2. Identification of distracting NDRTs 30 4.3. Identification of socio-demographic, contextual, and psychological factors influencing the engagement in NDRTs 31 4.4. Investigation of compensation strategies employed by drivers when engaging in visual–manual NDRTs 31 5. OVERVIEW OF THE APPLIED METHODOLOGY 31 5.1. Naturalistic driving study with semi-standardised interviews 32 5.2. Nationwide interview study 32 5.3. SHRP2 naturalistic driving study 33 6. MAIN RESULTS AND DISCUSSION 33 6.1. Development of a valid research methodology for the assessment of NDRTs 33 6.2. Identification of distracting NDRTs 35 6.3. Identification of factors influencing the engagement in NDRTs 37 6.3.1. Socio-demographic factors 37 6.3.2. Contextual factors 38 6.3.3. Psychological factors 39 6.4. Investigation of compensation strategies employed by drivers when engaging in visual–manual NDRTs 40 6.4.1. Eye-glance behaviour 40 6.4.2. Speed adjustments 43 6.5. Implications 44 6.5.1. Practical implications 44 6.5.2. Theoretical implications 49 6.5.3. Methodological implications 51 6.6. Limitations 52 6.6.1. Data collection 52 6.6.3. Sample 52 6.6.4. Naïve understanding 54 REFERENCES 55 CURRICULUM VITAE 70 PUBLICATIONS 72 Journal Papers (peer-reviewed) 72 Conference Papers 73 Conference Contributions / Posters / Workshops / Public Research Reports / Whitepapers 73 EIDESSTAATLICHE ERKLÄRUNG 76 PAPER 1 77 PAPER 2 85 PAPER 3 98 PAPER 4 116