Pleasure in using adaptive cruise control: A questionnaire study in The Netherlands

ABSTRACT Objective: Adaptive cruise control (ACC), a technology that allows for automated car following, is becoming increasingly prevalent. Previous surveys have shown that drivers generally regard ACC as pleasant but that they have to intervene when the ACC reaches its operational limits. The former research has been mostly concerned with specific car brands and does not fully reflect the diversity of ACC types in traffic today. The objective of the present research was to establish the determinants of pleasure in using ACC. Methods: A 55-item online questionnaire was completed by Dutch users of diverse ACC systems. Results: Respondents (N = 182) rated their ACC highly, with a mean score of 8.0 on a scale from 1 (extraordinarily negative) to 10 (extraordinarily positive) and were most pleased with ACC on high-speed roads and in low-density traffic. Moreover, the findings point to specific operational limits such as associated with cut-in situations. Pleasure was greater for the types of ACC that are able to decelerate to a full stop, according to 48% of our sample. An analysis of the free-response items indicated that respondents who were displeased with ACC mentioned its occasional clumsiness and the dangerous situations it may evoke, whereas those who were pleased with ACC valued the complementarity of human and machine and emphasized the roles of responsibility and experience in using ACC. Conclusion: Pleasure in using ACC is a function of both technological advances and human factors.

[1]  R. Iman,et al.  Rank Transformations as a Bridge between Parametric and Nonparametric Statistics , 1981 .

[2]  Klaus Bengler,et al.  Overriding the ACC by keys at the steering wheel: Positive effects on driving and drivers' acceptance in spite of a more complex ergonomic solution , 2007 .

[3]  Miguel Leitão,et al.  Driver's behavioral adaptation to adaptive cruise control (ACC): the case of speed and time headway. , 2014, Journal of safety research.

[4]  Steven E Shladover,et al.  Cooperative Adaptive Cruise Control: Driver Acceptance of Following Gap Settings Less than One Second , 2010 .

[5]  Anne T McCartt,et al.  Experiences of Model Year 2011 Dodge and Jeep Owners With Collision Avoidance and Related Technologies , 2015, Traffic injury prevention.

[6]  Ruth Williams,et al.  Learning and development. , 2010, Nursing management.

[7]  M Van Twuuijver,et al.  Car owners' experiences with in-car speed controlling systems in the Netherlands , 2004 .

[8]  Jasper J. A. Pauwelussen,et al.  Driver Behavior Analysis During ACC Activation and Deactivation in a Real Traffic Environment , 2010, IEEE Transactions on Intelligent Transportation Systems.

[9]  Neville A. Stanton,et al.  Sub-systems on the road to vehicle automation: Hands and feet free but not 'mind' free driving , 2014 .

[10]  J. Pauwelussen,et al.  The effects of deactivation and (re)activation of ACC on driver behaviour analyzed in real traffic , 2008, 2008 IEEE Intelligent Vehicles Symposium.

[11]  Niklas Strand,et al.  Exploring end-user experiences: Self-perceived notions on use of adaptive cruise control systems , 2010 .

[12]  P Fancher,et al.  Intelligent Cruise Control Field Operational Test , 1997 .

[13]  W S Lee,et al.  Driving Simulation for Evaluation of Driver Assistance Systems and Driving Management Systems , 2007 .

[14]  Linda Ng Boyle,et al.  Drivers' Understanding of Adaptive Cruise Control Limitations , 2009 .

[15]  Joost C. F. de Winter,et al.  Social desirability is the same in offline, online, and paper surveys: A meta-analysis , 2014, Comput. Hum. Behav..

[16]  Bobbie D. Seppelt,et al.  Making adaptive cruise control (ACC) limits visible , 2007, Int. J. Hum. Comput. Stud..

[17]  Ruiqi Ma.  The Effects of In-vehicle Automation and Reliability on Driver Situation Awareness and Trust , 2005 .

[18]  Claudio Mulatti,et al.  Beeping ADAS: Reflexive effect on drivers’ behavior , 2014 .

[19]  J. Krems,et al.  Learning and development of trust, acceptance and the mental model of ACC. A longitudinal on-road study , 2015 .

[20]  Linda Ng Boyle,et al.  Use Patterns Among Early Adopters of Adaptive Cruise Control , 2012, Hum. Factors.

[21]  Annika F L Larsson,et al.  Driver usage and understanding of adaptive cruise control. , 2012, Applied ergonomics.

[22]  Hermann Winner,et al.  Adaptive cruise control field operational test–the learning phase , 2001 .

[23]  T. Lajunen,et al.  Can we trust self-reports of driving? Effects of impression management on driver behaviour questionnaire responses , 2003 .

[24]  Christina M. Rudin-Brown,et al.  BEHAVIOURAL ADAPTATION TO ADAPTIVE CRUISE CONTROL (ACC): IMPLICATIONS FOR PREVENTIVE STRATEGIES , 2004 .

[25]  Mark S. Young,et al.  Drive-by-wire: The case of driver workload and reclaiming control with adaptive cruise control , 1997 .

[26]  Dimitra Dodou,et al.  National correlates of self-reported traffic violations across 41 countries , 2016, Personality and Individual Differences.

[27]  Robert E Llaneras.  Exploratory Study of Early Adopters, Safety-Related Driving with Advanced Technologies. Draft Final Task 2 Report: In-Vehicle Systems Inventory, Recruitment Methods & Approaches, and Owner Interview Results , 2006 .

[28]  Neville A. Stanton,et al.  Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence , 2014 .

[29]  G J Wilde,et al.  Risk homeostasis theory: an overview , 1998, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[30]  Linda Ng Boyle,et al.  Drivers’ Engagement Level in Adaptive Cruise Control while Distracted or Impaired , 2015 .

[31]  Riender Happee,et al.  The Deployment of Advanced Driver Assistance Systems in Europe , 2015 .

[32]  Daniel V. McGehee,et al.  National Survey Identifying Gaps in Consumer Knowledge of Advanced Vehicle Safety Systems , 2016 .

[33]  Heikki Summala,et al.  Cross-cultural differences in driving behaviours: A comparison of six countries , 2006 .

[34]  Lisanne Bainbridge,et al.  Ironies of automation , 1982, Autom..

[35]  M Saffarian,et al.  Why do drivers maintain short headways in fog? A driving-simulator study evaluating feeling of risk and lateral control during automated and manual car following , 2012, Ergonomics.

[36]  S.P. Hoogendoorn,et al.  Field Operational Test "The Assisted Driver" , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[37]  Neville A Stanton,et al.  A quarter of a century of the DBQ: some supplementary notes on its validity with regard to accidents , 2015, Ergonomics.

[38]  Anne T McCartt,et al.  Volvo Drivers’ Experiences With Advanced Crash Avoidance and Related Technologies , 2014, Traffic injury prevention.

[39]  Hesham Rakha,et al.  Field Evaluation of Safety Impacts of Adaptive Cruise Control , 2001, J. Intell. Transp. Syst..

[40]  J. Krems,et al.  The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information , 2013 .

[41]  Bart van Arem,et al.  Effects of Cooperative Adaptive Cruise Control on traffic flow stability , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[42]  Anne T McCartt,et al.  Toyota drivers' experiences with Dynamic Radar Cruise Control, Pre-Collision System, and Lane-Keeping Assist. , 2016, Journal of safety research.

[43]  Dianne Parker,et al.  Driving errors, driving violations and accident involvement. , 1995, Ergonomics.

[44]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[45]  N A Stanton,et al.  What's skill got to do with it? Vehicle automation and driver mental workload , 2007, Ergonomics.

[46]  Vicente Milanés Montero,et al.  Cooperative Adaptive Cruise Control in Real Traffic Situations , 2014, IEEE Transactions on Intelligent Transportation Systems.

[47]  Carlo G. Prato,et al.  Assessing the relationship between the Driver Behavior Questionnaire and the Driver Skill Inventory: Revealing sub-groups of drivers , 2014 .

[48]  Neville A. Stanton,et al.  Detection of new in-path targets by drivers using Stop & Go Adaptive Cruise Control. , 2011, Applied ergonomics.

[49]  Hermann Winner,et al.  Three Decades of Driver Assistance Systems: Review and Future Perspectives , 2014, IEEE Intelligent Transportation Systems Magazine.

[50]  D. Finkelhor,et al.  Toolkit on mapping legal, health and social services responses to child maltreatment. Jud, A, Jones, L, Mikton, C. Geneva, Switzerland, World Health Organization, 2015. , 2015 .