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Designing Adaptation in Cars: An Exploratory Survey on Drivers’ Usage of ADAS and Car Adaptations

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Advances in Human Factors of Transportation (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 964))

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Abstract

Current production cycle cars offer a wide range of driver assistance features spanning from Advanced Driver Assistance Systems to more established systems such as wing mirrors. All these features allow an increasing amount of adaptation enabling the driver to tailor all them to his or her requirements. However, drivers’ usage of and attitude towards these features as well as their possible adaptations are largely unexplored and, as a consequence, not well understood. We present an exploratory survey on this topic and apply an inclusive design approach in order to accommodate the whole range of diversity in our population. The results indicate a low usage rate of driver assistance features as well as their possible adaptations. However, results suggest a high appreciation for a potential smart adaptation of driver assistance features.

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References

  1. Pollard, T.: BMW’s new iDrive OS 7.0: hands-on test. CAR Mag. https://www.carmagazine.co.uk/car-news/tech/bmw-idrive-os-70-what-you-need-to-know-about-the-new-2018-idrive/. Accessed 2 May 2018

  2. Arora, N., Dreze, X., Ghose, A., et al.: Putting one-to-one marketing to work: personalization, customization, and choice. Mark. Lett. 19, 305–321 (2008)

    Article  Google Scholar 

  3. Adcock, I.: The future of car interiors: infotainment, AI and touchscreens of tomorrow. CAR Mag. (2018) https://www.carmagazine.co.uk/car-news/tech/the-future-of-car-interiors-multimedia-and-touchscreens/. Accessed 2 May 2018

  4. Caber, N., Langdon, P.M., Clarkson, P.J.: Intelligent driver profiling system for cars – a basic concept. In: Antona, M., Stephanidis, C. (eds.) Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments, pp. 201–213. Springer, Cham (2018)

    Chapter  Google Scholar 

  5. Kuehn, M., Hummel, T., Bende, J.: Benefit estimation of advanced driver assistance systems for cars derived from real-life accidents. In: ESV Konf. (2009)

    Google Scholar 

  6. Piao, J., McDonald, M.: Advanced driver assistance systems from autonomous to cooperative approach. Transp. Rev. 28, 659–684 (2008)

    Article  Google Scholar 

  7. TNS Opinion & Social: Use of Intelligent Systems in Vehicles. European Commission (2006)

    Google Scholar 

  8. Trübswetter, N., Bengler, K.: Why should I use ADAS? Advanced driver assistance systems and the elderly: knowledge, experience and usage barriers. In: Proceedings of 7th International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, University of Iowa, Bolton Landing, New York, USA, pp. 495–501 (2013)

    Google Scholar 

  9. Viktorova, L., Sucha, M.: Drivers’ acceptance of advanced driver assistance systems – what to consider? Int. J. Traffic Transp. Eng. 8, 320–333 (2018)

    Article  Google Scholar 

  10. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35, 982–1003 (1989)

    Article  Google Scholar 

  11. Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag. Sci. 46, 186–204 (2000)

    Article  Google Scholar 

  12. Planing, P.: Innovation Acceptance. Springer Fachmedien Wiesbaden, Wiesbaden (2014)

    Book  Google Scholar 

  13. Dillon, A., Morris, M.G.: User acceptance of information technology: theories and models. Annu. Rev. Inf. Sci. Technol. 31, 3–32 (1996)

    Google Scholar 

  14. Van Der Laan, J.D., Heino, A., De Waard, D.: A simple procedure for the assessment of acceptance of advanced transport telematics. Transp. Res. Part C Emerg. Technol. 5, 1–10 (1997)

    Article  Google Scholar 

  15. Kyriakidis, M., de Winter, J.C.F., Stanton, N., et al.: A human factors perspective on automated driving. Theor. Issues Ergon. Sci., 1–27 (2017)

    Google Scholar 

  16. Holweg, M.: The evolution of competition in the automotive industry. In: Parry, G., Graves, A. (eds.) Build Order, pp. 13–34. Springer, London (2008)

    Chapter  Google Scholar 

  17. Bradley, M., Langdon, P.M., Clarkson, P.J.: An inclusive design perspective on automotive HMI trends. In: Antona, M., Stephanidis, C. (eds.) Universal Access in Human-Computer Interaction. Users and Context Diversity, pp. 548–555. Springer, Cham (2016)

    Chapter  Google Scholar 

  18. Akamatsu, M., Green, P., Bengler, K.: Automotive technology and human factors research: past, present, and future. Int. J. Veh. Technol. 2013, 1–27 (2013)

    Google Scholar 

  19. Bellotti, F., Gloria, A.D., Montanari, R., Dosio, N., Morreale, D.: COMUNICAR: designing a multimedia, context-aware human-machine interface for cars. Cogn. Technol. Work 7, 36–45 (2005)

    Article  Google Scholar 

  20. Piechulla, W., Mayser, C., Gehrke, H., König, W.: Reducing drivers’ mental workload by means of an adaptive man–machine interface. Transp. Res. Part F Traffic Psychol. Behav. 6, 233–248 (2003)

    Article  Google Scholar 

  21. Wright, J., Stafford-Fraser, Q., Mahmoud, M., Robinson, P., Dias, E., Skrypchuk, L.: Intelligent scheduling for in-car notifications. In: 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI), Modena, Italy, pp. 1–6. IEEE (2017)

    Google Scholar 

  22. Hancock, P.A., Verwey, W.B.: Fatigue, workload and adaptive driver systems. Accid. Anal. Prev. 29, 495–506 (1997)

    Article  Google Scholar 

  23. Department for Transport: GB Driving Licence Data (2018). https://data.gov.uk/dataset/d0be1ed2-9907-4ec4-b552-c048f6aec16a/gb-driving-licence-data. Accessed 12 Feb 2019

  24. Fricker, R.D.: Sampling methods for online surveys. In: SAGE Handbook of Online Research Methods, 2nd edn., pp. 162–183. SAGE Publications Ltd., London (2017)

    Google Scholar 

  25. Boone, H.N., Boone, D.A.: Analyzing likert data. J. Ext. 50, 1–5 (2012)

    Google Scholar 

  26. Abraham, H., Seppelt, B., Mehler, B., Reimer, B.: What’s in a name: vehicle technology branding & consumer expectations for automation. In: Proceedings of 9th International Conference on Automotive User Interfaces and Interactive Vehicle Applications - (AutomotiveUI 2017), Oldenburg, Germany, pp. 226–234. ACM Press (2017)

    Google Scholar 

  27. McDonald, A.B., McGehee, D.V., Chrysler, S.T., Askelson, N.M., Angell, L.S., Seppelt, B.D.: National survey identifying gaps in consumer knowledge of advanced vehicle safety systems. Transp. Res. Rec. J. Transp. Res. Board 2559, 1–6 (2016)

    Article  Google Scholar 

  28. Reagan, I.J., Cicchino, J.B., Kerfoot, L.B., Weast, R.A.: Crash avoidance and driver assistance technologies – are they used? Transp. Res. Part F Traffic Psychol. Behav. 52, 176–190 (2018)

    Article  Google Scholar 

  29. Blaschke, C., Breyer, F., Färber, B., Freyer, J., Limbacher, R.: Driver distraction based lane-keeping assistance. Transp. Res. Part F Traffic Psychol. Behav. 12, 288–299 (2009)

    Article  Google Scholar 

  30. Chapline, J.F., Ferguson, S.A., Lillis, R.P., Lund, A.K., Williams, A.F.: Neck pain and head restraint position relative to the driver’s head in rear-end collisions. Accid. Anal. Prev. 32, 287–297 (2000)

    Article  Google Scholar 

  31. Farmer, C.M., Wells, J.K., Lund, A.K.: Effects of head restraint and seat redesign on neck injury risk in rear-end crashes. Traffic Inj. Prev. 4, 83–90 (2003)

    Article  Google Scholar 

  32. Lebarbé, M., Potier, P., Baudrit, P., Petit, P., Trosseille, X., Vallancien, G.: Thoracic injury investigation using PMHS in frontal airbag out-of-position situations (2005). https://doi.org/10.4271/2005-22-0015

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Authors and Affiliations

  1. Engineering Design Centre, Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, UK

    Nermin Caber, Patrick Langdon & P. John Clarkson

Authors
  1. Nermin Caber
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  2. Patrick Langdon
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  3. P. John Clarkson
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Corresponding authors

Correspondence to Nermin Caber , Patrick Langdon or P. John Clarkson .

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Editors and Affiliations

  1. Boldrewood Innovation Campus, University of Southampton, TRG, Southampton, UK

    Neville Stanton

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Caber, N., Langdon, P., Clarkson, P.J. (2020). Designing Adaptation in Cars: An Exploratory Survey on Drivers’ Usage of ADAS and Car Adaptations. In: Stanton, N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham. https://doi.org/10.1007/978-3-030-20503-4_9

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  • DOI: https://doi.org/10.1007/978-3-030-20503-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20502-7

  • Online ISBN: 978-3-030-20503-4

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