Challenges to Automotive Interior Design: The Future Is Much More Than Technology—It’s About People!

  • Susana C. F. FernandesEmail author
Part of the Springer Series in Design and Innovation book series (SSDI, volume 1)


Contemporary life is bred of complexity. Technological advancements have revolutionized the automotive sector in general, and driving in particular, to the point where the market has become confusing. When we approach “Interior Automotive Design”, it must be borne in mind that design is intended to create pleasant, meaningful and relevant experiences for its users. Today, people discuss level 5 disruptive technology, commonly sharing utopian and dystopian visions about the future of the automobile. This chapter presents a user-centred analysis that assesses driving as a pleasurable activity. Creating personalized and exclusive driving experiences in the same vehicle for a variety of use cases is one of the future challenges of the automotive industry. In this chapter, we review the literature on the main difficulties and expectations of usability of the car interior by many drivers, with a special focus on the display interfaces. We reflect on opportunities for improvement and future developments in the interior of automobiles. Such developments go beyond the expected benefits of new technologies, which in some cases should be considered with caution.


Automotive interior design Technological complexity Display interfaces Usability Customization challenges Driving pleasure User expectations 


  1. AAA (2017) Smart features for older drivers. SeniorDrivingAAA.comGoogle Scholar
  2. ACEA—European Automobile Manufacturers Association (2017) Economic and market report. EU Automotive Industry, Quater 3 2017, DecemberGoogle Scholar
  3. Ahlemann D, Gerling W (2016) The autonomous frontier. Strategy, pp. 54–60. Accessed 20 July 2018
  4. Anderson J, Kalra N, Stanley K, Sorensen P, Samaras C, Oluwatola O (2016) Autonomous vehicle technology: a guide for policymakers. RAND Corporation. ISBN 978-0-8330-8398-2Google Scholar
  5. Andreev N (2018). Car dashboard warning lights explained. Cars have an array of dashboard warning lights to let drivers know when something’s wrong. But do you know what they mean? [Web log post]. Accessed 20 July 2018
  6. Baker EH, Crusius D, Fischer M, Gerling W, Gnanaserakan K, Kerstan H, Kuhnert F, Kusber J, Mohs J, Schulte M Seyfferth J (2016) Connected car report 2016: opportunities, risk, and turmoil on the road to autonomous vehicles. Strategy. Accessed 20 July 2018
  7. Barkenbus J (2018) People aren’t ready for self-driving cars [web log post]. Elijah Nouvelage—Reuters. Accessed 8 May 2018
  8. Beck D, Lee M, Park W (2017) A comparative evaluation of in-vehicle side view displays layouts in critical lane changing situation. Ergonomics 60(12):1682–1691. Scholar
  9. Bernsen NO, Dybkjaer L (2009) Exploring natural interaction in the car. Philippine Sociol Rev 54(5).
  10. Blower D (2014) Assessment of the effectiveness of advanced collision avoidance technologies. Report No. UMTRI-2014-3. University of Michigan Transportation Research Institute, Ann Arbor, MI. Accessed 8 May 2018
  11. Bontrager B (2018) The race to fully autonomous cars [web log post]. The startup. Accessed 8 May 2018
  12. Brown T, He Y, Roe C, Schnell T. (2010). Is more better?—Night vision enhancement system’s pedestrian warning system modes and older drivers. Ann Assoc Adv Autom Med 54:343–350. PMID: 21050616, PMCID: PMC3242535Google Scholar
  13. (2018) What’s the right new vehicle for me? Accessed 8 May 2018
  14. (2018). What car should I buy? Accessed 28 Dec 2018
  15. Caruso G, Camere S, Bordegoni M (2016) System based on abstract prototyping and motion capture to support car interior design. Comput-Aided Des Appl 13(2):228–235. Scholar
  16. Chihuri S, Mielenz TJ, DiMaggio CJ, Betz ME, DiGuiseppi C, Jones VC, Li G (2016) Driving cessation and health outcomes in older adults. J Am Geriatr Soc 64(2):332–341. Scholar
  17. Chun J, Lee I, Park G, Seo J, Choi S, Han SH (2013) Efficacy of haptic blind spot warnings applied through a steering wheel or seatbelt. Transp Res Part F: Traffic Psychol Behav 21:213–241. Scholar
  18. de Winter JCF, Happee R, Martens MH, Stanton NA (2014) Effects of adaptive cruise control and highly automated driving on workload and situation awareness: a review of the empirical evidence. Transp Res Part F: Traffic Psychol Behav 27(Part B):196–217. Scholar
  19. Douissembekov E, Gabaude C, Rogé J, Navarro J, Michael GA (2014) Parking and manoeuvring among older drivers: a survey investigating special needs and difficulties. Transp Res Part F: Traffic Psychol Behav 26(Part A):238–245. Scholar
  20. Eby DW, Molnar LJ, Kostyniuk LP, St.Louis RM, Zanier N (2017) Characteristics of informal caregivers who provide transportation assistance to older adults. PLoS ONE 12(9):e0184085. Scholar
  21. Eby DW, Molnar LJ, Zakrajsek JS, Ryan LH, Zanier N, Louis RMS, Strogatz D (2018) Prevalence, attitudes, and knowledge of in-vehicle technologies and vehicle adaptations among older drivers. Accid Anal Prev 113:54–62. Scholar
  22. Eby DW, Molnar LJ, Zhang L, St. Louis RM, Zanier N, Ko Styniuk LP, Stanciu S (2016). Use, perceptions, and benefits of automotive technologies among aging drivers. Injury Epidemiology 3(28):1–20.
  23. Express Jornal (2018) Does your household have two cars? Two-car homes SOAR and this is why. Accessed 20 Sept 2018
  24. Fernandes SCF, Esteves JL, Simoes R (2017) Characteristics and human factors of older drivers: improvement opportunities in automotive interior design. Int J Veh Des 74(3):167–203. Scholar
  25. Gelau C, Schindhelm R (2010) Enhancing the occlusion technique as an assessment tool for driver visual distraction. IET Intel Transp Syst 4(4):346–355. Scholar
  26. Goddard N, Nicolle CA (2012) What is good design in the eyes of older users? Designing inclusive systems: designing inclusion for real-world applications. Springer, London, pp 175–184. ISBN 9781447128663CrossRefGoogle Scholar
  27. Häne C, Heng L, Lee GH, Fraundorfer F, Furgale P, Sattler T, Pollefeys M (2017) 3D visual perception for self-driving cars using a multi-camera system: calibration, mapping, localization, and obstacle detection. Image Vis Comput 68:14–27. Scholar
  28. Haustein S, Siren A (2014) Seniors’ unmet mobility needs—how important is a driving licence? J Transp Geigrraphy 41:45–52. Scholar
  29. Helander MG, Khalid HM, Lim TY, Peng H, Yang X (2013) Emotional needs of car buyers and emotional intent of car designers. Theor Issues Ergonomics Sci 14(5):455–474. Scholar
  30. Heineke K, Möller T, Padhi A, Tschiesner A (2017) How mobility players can compete as the automotive revolution accelerates. In: McKinsey & Company McKinsey, automotive & assembly insights. Accessed 8 May 2018
  31. Hirsh E, Jullens J, Wilk R, Singh A. (2016) 2016 Auto industry trends, automakers and suppliers can no longer sit out the industry’s transformation. Strategy. Accessed 20 July 2018
  32. James T (2012) Vehicle technology and the older driver. E&T—Engineering and Technology Magazine. Accessed 20 July 2018
  33. Kaas H, Tschiesner A, Wee D, Kässer M (2015) How carmakers can compete for the connected consumer. In: McKinsey & Company, automotive & assembly insights. Accessed 8 May 2018
  34. Kang MW, Momtaz SU (2018) Assessment of driver compliance on roadside safety signs with auditory warning sounds generated from pavement surface—a driving simulator study. J Traffic Transp Eng (English Edition) 5(1):1–13. Scholar
  35. Karthaus M, Falkenstein M (2016) Functional changes and driving performance in older drivers: assessment and interventions. Geriatrics 1(2):12. Scholar
  36. Karali S, Gyi DE, Mansfield NJ (2016) Driving a better driving experience: a questionnaire survey of older compared with younger drivers. Ergonomics 60(4):1–8. Scholar
  37. Karali S, Mansfield NJ, Gyi DE (2017) An approach to vehicle design: in-depth audit to understand the needs of older drivers. Appl Ergonomics 58:461–470. Scholar
  38. Kim S, Hong JH, Li KA, Forlizzi J, Dey AK (2012) Route guidance modality for elder driver navigation. In: lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol 7319 LNCS, pp 179–196. Scholar
  39. Kimmel S (2015) Driving innovation: a recap of the 2015 transportation research board annual meeting and connected-autonomated vehicle technology [web log post]. IEEE USA Insight. Accessed 8 May 2018
  40. Malanowski N, Ozcivelek R, Cabrera M (2008) Active ageing and independent living services: the role of information and communication technology. Eur Commun 39. Accessed 20 July 20
  41. Mehler B, Reimer B, Lavallière M, Dobres J, Coughlin JF (2014) Evaluating technologies relevant to the enhancement of driver safety. AAA Foundation for Traffic Safety, Washington, DCGoogle Scholar
  42. Mohr D, Kaas H, Gao P, Wee D, Möller T (2016) Automotive revolution—perspective towards 2030: How the convergence of disruptive technology-driven trends could transform the auto industry. In: McKinsey & Company, advanced industries. Accessed 8 May 2018
  43. Montes SA, Introzzi IM, Ledesma RD, López SS (2016) Atención selectiva y propensión al error en la conducción: estudio mediante una tarea de búsqueda visual conjunta. Avances en Psicología Latinoamericana 34(2):195–203. Scholar
  44. Neumann I, Cocron P, Franke T, Krems JF (2010) Electric vehicles as a solution for green driving in the future? A field study examining the user acceptance of electric vehicles. In Krems JF, Petzoldt T, Henning (Hrsg). Proceedings of the European conference on human interface design for intelligent transport systems, Berlim, Germany, April 29–30, Humanist Publications, Lyon, pp S445–S453Google Scholar
  45. Nitsch M, Lambacher, O. & Howe, J (2014) Cars for elderly drivers. mopact, mobilising the potential of active ageing in Europe. Braunschweiger Gerontological Series, 2.
  46. OECD/ITF—International Transport Forum (2014) Road safety annual report 2014. Accessed 10 Sep 2015
  47. Paris J-C, Bellet T, Cour M, Marin-Lamellet C, Deleurence P, Moreau F, Boverie S, Andre J-M, Claverie B (2014) Driving assistances for senior drivers: a human centered design approach. In: Paper No. 18291. Transport research arena—5th conference, April 2014, FranceGoogle Scholar
  48. Pickering, CA, Burnham KJ, Richardson MJ (2007) A review of automotive human machine interface technologies and techniques to reduce driver distraction. In 2nd IET international conference on system safety, 22–24 Oct 2007, London, UK, pp 223–228.
  49. Prem B, Arora K, Manager P, Hmi A, Verma M, Biz A, Manager D (2011) Designing Next-generation automotive center consoles. In: EE times design. Accessed 8 May 2018
  50. Pschenitza M, Unger T (2015) Field of vision of modern cars—a study to improve the evaluation of car geometries based on real world accident scenarios documented in the ADAC Accident research. Berichte der Bundesanstalt fuer Strassenwesen. Unterreihe Fahrzeugtechnik 102:14., Accessed 8 May 2018
  51. Quach A, Levine ME, Tanaka T, Lu AT, Chen BH, Ferrucci L, Ritz B, Bandinelli S, Neuhouser ML, Beasley JM, Snetselaar L, Wallace RB, Tsao PS, Absher D, Assimes TL, Stewart JD, Li Y, Hou L, Baccarelli AA, Whitsel EA, Horvath S (2017) Epigenetic clock analysis of diet, exercise, education, and lifestyle factors. Aging (Albany NY) 9(2):419–446. Scholar
  52. Rahiman W, Zafariq Z (2013) An overview of development GPS navigation for autonomous car. In: 8th IEEE conference on industrial electronics and applications (ICIEA), 2013. IEEE Publisher, Melbourne, VIC, Australia.
  53. Rakotonirainy A, Steinhardt D (2009) In-vehicle technology functional requirements for older drivers. In: Schmidt A, Dey A, Seder T, Kern O (eds) Proceedings of the first international conference on automotive user interfaces and interactive vehicular applications, automotive UI 2009, 21–22 Sept 2009, Essen, Germany, pp 27–33Google Scholar
  54. Reagan IJ, Bliss JP (2013) Perceived mental workload, trust, and acceptance resulting from exposure to advisory and incentive based intelligent speed adaptation systems. Transp Res Part F 21:14–29. Scholar
  55. Reimer B (2014) Driver assistance systems and the transition to automated vehicles: a path to increase older adult safety and mobility? Public Policy Aging Rep 24:27–31. Scholar
  56. Richtel M, Dougherty C (2015) What we learned designing a car user experience [web log post]. The New York Times. Accessed 8 May 2018
  57. Rusch ML, Schall MC Jr, Lee JD, Dason JD, Rizzo M (2014) Augmented reality cues to assist older drivers with gap estimation for left-turns. Accid Anal Prev 71:210–221. Scholar
  58. Shippen J, May B (2016) Constitutive kinematic modes and shapes during vehicle ingress/egress. Appl Ergonomics 56:127–135. Scholar
  59. Sixsmith A (2013) Technology and the challenge of aging. In: Sixsmith A, Gutman G (eds) Technologies for active aging. international perspectives on aging, vol 9. Springer, Boston, MA. Scholar
  60. Soares F, Simões P, Simoes R (2014). Automotive central console interface design. In: Proceedings of the 5th international conference on applied human factors and ergonomics, 19–23 July 2014, Kraków, Poland, pp 2047–2058. ISBN 9781495121036Google Scholar
  61. Stockburger J (2018) Top 25 new cars for senior drivers [web log post]. Accessed 8 May 2018
  62. Strand N, Nilsson J, Karlsson ICM, Nilsson L (2011) Interaction with and use of driver assistance systems: a study of end-user experiences. In: Proceedings of the 18th ITS world congress. ITS America, Washington, DCGoogle Scholar
  63. Study AL (2015) Keeping older adults driving safely: A research synthesis of advanced in-vehicle technologies. The National Academies of Sciences, Engineering, and Medicine. Accessed 8 May 2018
  64. Tachibana H (2011) The development of a parking support system considering driving characteristics. In: Proceedings of the SAE 2011 world congress and exhibition. SAE International, Warrendale, PAGoogle Scholar
  65. (2013) Top technologies for mature drivers: consumer insights. Accessed 8 May 2018
  66. Tonetto LM, Desmet PMA (2016) Why we love or hate our cars: a qualitative approach to the development of a quantitative user experience survey. Appl Ergonomics 56:68–74. Scholar
  67. Trübswetter N, Bengler K (2013) Why should I use ADAS? Advanced driver assistance systems and the elderly: knowledge, experience, and usage barriers. In: Proceedings of the seventh international driving symposium on human factors in driver assessment, training, and vehicle design. University of Iowa, Ames, IAGoogle Scholar
  68. UMTRI—University of Michigan Transportation Research Institute (2015) Curve-speed warning systems. University of Michigan Transportation Research Institute, Ann Arbor, MI. Accessed 8 May 2018
  69. Viereckl R, Ahlemann D, Koster A, Hirsh E, Kuhnert E, Mohs J, Fischer M, Gerling W, Gnanasekaran K, Kusber J, Stephan J (2016). Connected car report 2016: opportunities, risk, and turmoil on the road to autonomous vehicles. Strategy. Accessed 8 May 2018
  70. Vincent JM (2016) What kind of car do you need? [web log post]. Cars US News, Car Rankings & Advice. Accessed 8 May 2018
  71. Vink P, Lips D (2017) Sensitivity of the human back and buttocks: the missing link in comfort seat design. Appl Ergonomics 58:287–292. Scholar
  72. Waller S, Bradley M, Hosking I, Clarkeson PJ (2015) Making the case for inclusive design. Appl Ergonomics 46(Part B):297–303. Scholar
  73. Warner HW, Özkan T, Lajunen (2010) Drivers’ propensity to have different types of intelligent speed adaptation installed in their cars. Transp Res Part F 13(3):206–214. Scholar
  74. Wege CA, Trent WV (2013) Distraction and inattention prevention by combining behaviour-based safety with advanced driver assistance systems. IET Digital Library, pp 215–237.
  75. Weinberg G, Müller C (2011) Multimodal input in the car, today and tomorrow. IEEE Multimedia 18(1):98–103. Scholar
  76. Wood SP, Chang J, Healy T, Wood J (2012) The potential regulatory challenges of increasingly autonomous motor vehicles. Santa Clara Law Rev 52(4):1423–1502. ISSN 0146-0315Google Scholar
  77. Wu J, Subramanian R, Craig M, Starnes M, Longthorne A (2013) The effect of earlier or automatic collision notification on traffic mortality by survival analysis. Traffic Injury Prevent 14:50–57. Scholar
  78. Yang J, Coughlin JF (2014) In-vehicle technology for self-driving cars: Advantages and challenges for aging drivers. Int J Autom Techn 15(2):333−340. Scholar
  79. Yarow J (2009) Guess what? People like to drive, even if it’s irrational [web log post]. Bus Insider. Accessed 8 May 2018

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Polytechnic Institute of Maia – IPMAIAMaiaPortugal
  2. 2.LAETA – Associated Laboratory for Energy, Transports and AeronauticsMaiaPortugal
  3. 3.N2i – Research Nucleus of the Polytechnic Institute of MaiaMaiaPortugal

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