The Influence of Non-driving-Related Activities on the Driver’s Resources and Performance

Today, drivers perform many non-driving-related activities while maneuvering the car. To ensure driving safety, the designers of automotive UIs have to respect the driver’s available cognitive, perceptual and motor resources to prevent overload and in turn accidents. In this chapter, we look at the different types of driver resources, how they are loaded and limited by the primary driving task, and how this affects the resources available for non-driving-related activities. We discuss aspects such as attention, driver distraction, (cognitive) workload, and other factors such as the driver’s physical and mental state to understand the limitation of the driver’s resources and how non-driving-related activities affect the primary task performance. To enable the safe execution of non-driving-related activities, we need to design the cockpit and its UI in such a way that it requires a minimal amount of resources. We will provide an outlook towards selected novel technologies such as large head-up displays and also discuss expected effects of the transition to automated driving.

[1]  R. Yerkes,et al.  The relation of strength of stimulus to rapidity of habit‐formation , 1908 .

[2]  John A. Michon,et al.  A critical view of driver behavior models: What do we know , 1985 .

[3]  Mikael B. Skov,et al.  Interacting with in-vehicle systems: understanding, measuring, and evaluating attention , 2009 .

[4]  John D. Lee,et al.  How Dangerous Is Looking Away From the Road? Algorithms Predict Crash Risk From Glance Patterns in Naturalistic Driving , 2012, Hum. Factors.

[5]  Joshua D. Hoffman,et al.  Scrolling and Driving , 2012, Hum. Factors.

[6]  Heikki Summala,et al.  RISK CONTROL IS NOT RISK ADJUSTMENT: THE ZERO-RISK THEORY OF DRIVER BEHAVIOUR AND ITS IMPLICATIONS , 1988 .

[7]  Dick de Waard,et al.  Monitoring drivers' mental workload in driving simulators using physiological measures. , 2010, Accident; analysis and prevention.

[8]  Neil K Chaudhary,et al.  District of Columbia. , 1896, The Journal of comparative medicine and veterinary archives.

[9]  Karel Brookhuis,et al.  Driver distraction from some theoretical perspectives , 2012 .

[10]  Thomas A. Dingus,et al.  An overview of the 100-car naturalistic study and findings , 2005 .

[11]  John F. Brock,et al.  Use of a Fixed-Base Driving Simulator to Evaluate the Effects of Experience and PC-Based Risk Awareness Training on Drivers' Decisions , 2002, Hum. Factors.

[12]  David L. Strayer,et al.  Driven to Distraction: Dual-Task Studies of Simulated Driving and Conversing on a Cellular Telephone , 2001, Psychological science.

[13]  J. Dusek,et al.  Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers , 2009 .

[14]  Florian Alt,et al.  Introducing novel technologies in the car: conducting a real-world study to test 3D dashboards , 2015, AutomotiveUI.

[15]  R. Tibshirani,et al.  Association between cellular-telephone calls and motor vehicle collisions. , 1997, The New England journal of medicine.

[16]  R Fuller,et al.  A conceptualization of driving behaviour as threat avoidance. , 1984, Ergonomics.

[17]  I. Brown,et al.  Interference between concurrent tasks of driving and telephoning. , 1969, The Journal of applied psychology.

[18]  D. H. Taylor,et al.  DRIVERS' GALVANIC SKIN RESPONSE AND THE RISK OF ACCIDENT , 1964 .

[19]  J. Findlay,et al.  Active Vision: The Psychology of Looking and Seeing , 2003 .

[20]  M R Stevenson,et al.  The impact of driver distraction on road safety: results from a representative survey in two Australian states , 2006, Injury Prevention.

[21]  Risto Näätänen,et al.  A model for the role of motivational factors in drivers' decision-making , 1974 .

[22]  Mark Asbridge,et al.  A meta-analysis of the effects of texting on driving. , 2014, Accident; analysis and prevention.

[23]  James R. Sayer,et al.  The Effects of Secondary Tasks on Naturalistic Driving Performance , 2005 .

[24]  David Crundall,et al.  Regulating Conversation During Driving: A Problem for Mobile Telephones? , 2005 .

[25]  Joseph L. Gabbard,et al.  Behind the Glass: Driver Challenges and Opportunities for AR Automotive Applications , 2014, Proceedings of the IEEE.

[26]  P. Silvia,et al.  For Whom the Mind Wanders, and When , 2007, Psychological science.

[27]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[28]  Stylianos Papanastasiou,et al.  Interface Development for Early Notification Warning System: Full Windshield Head-Up Display Case Study , 2009, HCI.

[29]  M. Sivak,et al.  Motion Sickness in Self-Driving Vehicles , 2015 .

[30]  R. Fuller Towards a general theory of driver behaviour. , 2005, Accident; analysis and prevention.

[31]  John W. Senders,et al.  THE ATTENTIONAL DEMAND OF AUTOMOBILE DRIVING , 1967 .

[32]  O. Svenson ARE WE ALL LESS RISKY AND MORE SKILLFUL THAN OUR FELLOW DRIVERS , 1981 .

[33]  Christopher D. Wickens,et al.  Multiple Resources and Mental Workload , 2008, Hum. Factors.

[34]  Marc Green,et al.  "How Long Does It Take to Stop?" Methodological Analysis of Driver Perception-Brake Times , 2000 .

[35]  Linda Angell,et al.  The Distracted Driver: Mechanisms, Models, and Measurement , 2011 .

[36]  Jeff K Caird,et al.  A meta-analysis of the effects of cell phones on driver performance. , 2008, Accident; analysis and prevention.

[37]  John D. Lee,et al.  Designing Feedback to Mitigate Distraction , 2009 .

[38]  Barbara Lenz,et al.  Travel-Time Valuation for Automated Driving: A Use-Case-Driven Study , 2015 .

[39]  Michael A. Regan,et al.  Driver distraction: A review of the literature , 2003 .

[40]  Florian Alt,et al.  A Design Space to Support the Development of Windshield Applications for the Car , 2016, CHI.

[41]  John D. Lee,et al.  Factors moderating the impact of distraction on driving performance and safety , 2009 .

[42]  Shaul Fox,et al.  Escalation Behavior as a Specific Case of Goal-Directed Activity: A Persistence Paradigm , 2002 .

[43]  Albrecht Schmidt,et al.  Exploring user expectations for context and road video sharing while calling and driving , 2013, AutomotiveUI.

[44]  Michael Sivak,et al.  A Survey of Public Opinion about Autonomous and Self-Driving Vehicles in the U.S., the U.K., and Australia , 2014 .

[45]  Christopher D. Wickens,et al.  Multiple resources and performance prediction , 2002 .

[46]  Jens Rasmussen,et al.  Risk management in a dynamic society: a modelling problem , 1997 .

[47]  Karel Brookhuis,et al.  The interaction between driving and in-vehicle information systems: comparison of results from laboratory, simulator and real-world studies , 2005 .

[48]  A. H. Roscoe,et al.  A Subjective Rating Scale for Assessing Pilot Workload in Flight: A decade of Practical Use , 1990 .

[49]  Gary E. Burnett On-the-Move and in Your Car: An Overview of HCI Issues for In-Car Computing , 2009, Int. J. Mob. Hum. Comput. Interact..

[50]  Stewart A. Birrell,et al.  Distraction effects of navigation and green-driving systems – results from field operational tests (FOTs) in the UK , 2015 .

[51]  David C. Foyle,et al.  Attentional limitations with Head-Up Displays , 1993 .

[52]  David Woods,et al.  Cognitive consequences of clumsy automation on high workload, high consequence human performance , 1991 .

[53]  Paul Green Motor vehicle driver interfaces , 2002 .

[54]  Annie Pauzié Evaluation of the driver’s mental workload: a necessity in a perspective of in-vehicle system design for road safety improvement , 2014, Cognition, Technology & Work.

[55]  W. Kirchner Age differences in short-term retention of rapidly changing information. , 1958, Journal of experimental psychology.

[56]  K W Gish,et al.  Human Factors Aspects Of Using Head Up Displays In Automobiles: A Review Of The Literature, Interim Report , 1995 .

[57]  R. Fuller The task-capability interface model of the driving process , 2000 .

[58]  John D Lee,et al.  Dynamics of Driver Distraction: The process of engaging and disengaging. , 2014, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.

[59]  Eric Rodgman,et al.  Driver's exposure to distractions in their natural driving environment. , 2005, Accident; analysis and prevention.

[60]  Charlene Hallett,et al.  Driver distraction and driver inattention: definition, relationship and taxonomy. , 2011, Accident; analysis and prevention.

[61]  D. Strayer,et al.  Cell phone-induced failures of visual attention during simulated driving. , 2003, Journal of experimental psychology. Applied.

[62]  Paul E Green Driver Interface Safety and Usability Standards: An Overview , 2009 .

[63]  Andreas Butz,et al.  Contact-analog warnings on windshield displays promote monitoring the road scene , 2015, AutomotiveUI.

[64]  A. S. Cohen,et al.  ZUR BEDEUTUNG DES FOVEALEN SEHENS FUER DIE INFORMATIONSAUFNAHME BEI HOHER BEANSPRUCHUNG , 1990 .

[65]  P. Burns,et al.  Detection Response Tasks: Using Remote, Headmounted and Tactile Signals to Assess Cognitive Demand While Driving , 2017 .

[66]  Michael A. Regan,et al.  Division of Attention: The Single-Channel Hypothesis Revisited , 1989 .

[67]  H. Pashler Dual-task interference in simple tasks: data and theory. , 1994, Psychological bulletin.

[68]  Christopher Nowakowski,et al.  An Experimental Evaluation of Using Automotive HUDs to Reduce Driver Distraction While Answering Cell Phones , 2002 .

[69]  Michael J. Goodman,et al.  NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE , 2001 .

[70]  Ming-Hui Wen,et al.  Comparison of head-up display (HUD) vs. head-down display (HDD): driving performance of commercial vehicle operators in Taiwan , 2004, Int. J. Hum. Comput. Stud..

[71]  Ronald Pfefer,et al.  Guidance for Implementation of the AASHTO Strategic Highway Safety Plan. Volume 14: A Guide for Reducing Crashes Involving Drowsy and Distracted Drivers , 2005 .

[72]  H Summala,et al.  What surviving drivers learn from a fatal road accident. , 1997, Accident; analysis and prevention.

[73]  Thomas A. Dingus,et al.  The 100-Car Naturalistic Driving Study Phase II – Results of the 100-Car Field Experiment , 2006 .

[74]  Jeffrey R. Binder,et al.  Interrupting the “stream of consciousness”: An fMRI investigation , 2006, NeuroImage.

[75]  T A Ramney,et al.  Driver distraction: a review of the current state-of-the-knowledge , 2008 .

[76]  A. Noë,et al.  A sensorimotor account of vision and visual consciousness. , 2001, The Behavioral and brain sciences.

[77]  David E. Irwin,et al.  Conversation Disrupts Change Detection in Complex Traffic Scenes , 2004, Hum. Factors.

[78]  Michael S. Ambinder,et al.  Attention Capture: The Interplay of Expectations, Attention, and Awareness , 2005 .

[79]  Natasha Merat,et al.  Control Task Substitution in Semiautomated Driving , 2012, Hum. Factors.

[80]  John R. Treat,et al.  A study of precrash factors involved in traffic accidents , 1980 .

[81]  John D. Lee,et al.  Preface to the Special Section on Driver Distraction , 2004, Hum. Factors.

[82]  John D. Lee,et al.  What Drives Distraction? Distraction as a Breakdown of Multilevel Control , 2009 .

[83]  Victor A.F. Lamme,et al.  The Difference between Visual Attention and Awareness: A Cognitive Neuroscience Perspective , 2005 .

[84]  Arthur H. Goodwin,et al.  Countermeasures That Work: A Highway Safety Countermeasure Guide for State Highway Safety Offices, Eighth Edition, 2015 , 2015 .

[85]  Gary Burnett,et al.  Defining Driver Distraction , 2005 .

[86]  Bastian Pfleging,et al.  Investigating user needs for non-driving-related activities during automated driving , 2016, MUM.

[87]  Lawrence Stark,et al.  Presbyopia research : from molecular biology to visual adaptation , 1991 .

[88]  Christopher D. Wickens,et al.  Models of Attention, Distraction, and Highway Hazard Avoidance , 2009 .

[89]  Anne Marsden,et al.  International Organization for Standardization , 2014 .

[90]  Michael Mercadante,et al.  The causes and consequences of distraction in everyday driving. , 2003, Annual proceedings. Association for the Advancement of Automotive Medicine.

[91]  Mustapha Mouloua,et al.  On the Philosophical Foundations of the Distracted Driver and Driving Distraction , 2009 .

[92]  Walter W. Wierwille,et al.  DEMANDS ON DRIVER RESOURCES ASSOCIATED WITH INTRODUCING ADVANCED TECHNOLOGY INTO THE VEHICLE , 1993 .

[93]  Klaus Bengler,et al.  Taking Over Control from Highly Automated Vehicles , 2014 .

[94]  Joel M. Cooper,et al.  Measuring Cognitive Distraction in the Automobile III: A Comparison of Ten 2015 In-Vehicle Information Systems , 2015 .

[95]  A. Kramer,et al.  Physiological metrics of mental workload: A review of recent progress , 1990, Multiple-task performance.

[96]  Clifford Nass,et al.  Assessing the Effectiveness of Interactive Media in Improving Drowsy Driver Safety , 2008, Hum. Factors.

[97]  J. Wann,et al.  Heading perception and the allocation of attention , 2000, Vision Research.

[98]  Dick de Waard,et al.  The measurement of drivers' mental workload , 1996 .

[99]  Richard F. Haines,et al.  A Breakdown in Simultaneous Information Processing , 1991 .

[100]  John D. Lee,et al.  Defining Driver Distraction , 2009 .

[101]  Scott W. Campbell,et al.  Texting while driving on automatic: Considering the frequency-independent side of habit , 2012, Comput. Hum. Behav..

[102]  David L Strayer,et al.  The Smartphone and the Driver’s Cognitive Workload: A Comparison of Apple, Google, and Microsoft’s Intelligent Personal Assistants , 2015, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[103]  Dong-Chul Seo,et al.  The Impact of In-Vehicle Cell-Phone Use on Accidents or Near-Accidents Among College Students , 2004, Journal of American college health : J of ACH.

[104]  Harold R. Booher,et al.  Handbook of Human Systems Integration , 2003 .

[105]  Alison Smiley,et al.  A Meta-Analysis of Driving Performance and Crash Risk Associated with the Use of Cellular Telephones while Driving , 2017 .

[106]  Mark S. Young,et al.  Malleable Attentional Resources Theory: A New Explanation for the Effects of Mental Underload on Performance , 2002, Hum. Factors.