Why Should I Use ADAS? Advanced Driver Assistance Systems and the Elderly: Knowledge, Experience and Usage Barriers

A vast number of Advanced Driver Assistance Systems (ADAS) are commercially available, all of which have the potential to increase the safety and comfort of driving a car. Due to age-specific performance limitations, older drivers could benefit a great deal from such in-vehicle technologies, provided that they are purchased and used. Based on the results of several market research studies, awareness of ADAS is significantly higher than their usage rate, which is still very low. To analyze the discrepancy between awareness and willingness to use ADAS, 32 older car drivers were surveyed in a semi-structured interview study. This paper examines the knowledge, experience, and barriers toward the use of ADAS in the elderly.

[1]  Frank Schieber,et al.  Vision and aging. , 2006 .

[2]  T. Kollmann Die Messung der Akzeptanz bei Telekommunikationssystemen , 2000 .

[3]  N. Charness,et al.  Designing for Older Adults , 2014 .

[4]  Rock Miller Aging America and Transportation: Personal Choices and Public Policy , 2013 .

[5]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[6]  Fred D. Davis,et al.  Extension of the Technology Acceptance Model: Four Longitudinal Field : . , 2000 .

[7]  Emeli Adell,et al.  Driver experience and acceptance of driver support systems: a case of speed adaptation , 2009 .

[8]  Dick de Waard,et al.  A simple procedure for the assessment of acceptance of advanced transport telematics , 1997 .

[9]  Verena Franken,et al.  User requirements for a multimodal routing system to support transport behavior , 2007 .

[10]  N. Charness,et al.  Aging and Information Technology Use , 2009 .

[11]  S. Czaja,et al.  Age differences in the performance of computer-based work. , 1993, Psychology and aging.

[12]  Nicole Trübswetter,et al.  Systematische Modellierung des zukünftigen Unterstützungspotentials im Strassenverkehr , 2011 .

[13]  Arnd Engeln,et al.  Prädiktoren der Akzeptanz von Fahrerassistenzsystemen , 2008 .

[14]  Philipp Mayring Qualitative Inhaltsanalyse : Grundlagen und Techniken , 2003 .

[15]  Linda Ng Boyle,et al.  Augmenting the Technology Acceptance Model with Trust: Commercial Drivers’ Attitudes towards Monitoring and Feedback , 2012 .

[16]  Patricia Delhomme,et al.  Simulator Training With a Forward Collision Warning System , 2012, Hum. Factors.

[17]  D Neunzig,et al.  Fahrerassistenzsysteme fuer aeltere Menschen , 2005 .

[18]  Anne Collins McLaughlin,et al.  Designing Displays for Older Adults , 2010 .

[19]  Arthur D. Fisk,et al.  Designing for Older Adults: Principles and Creative Human Factors Approaches , 2004 .