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Research in Driver–Vehicle Interaction: Indian Scenario

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Ergonomics in Caring for People

Abstract

Driving is a complex task which requires execution of physical, psycho-motor, and sensory skills. To ensure maximum performance of the driver and for safe navigation of the vehicle, optimal driver–vehicle interaction (DVI) is of utmost necessity. Although, substantial research work is going on in developed countries research activities in this domain is rarely reported in Indian scenario. The current paper presents the holistic review leading to a knowledge-base in the field of DVI research all over the world with a special emphasis on Indian scenario. Present review would be beneficial for the Indian researchers, designers, and engineers associated with automotive industries, to get clear idea about current state of affairs in DVI research in India in relation to the other countries. It would also help them to formulate their research proposal/identify specific field of research in DVI applicable to Indian context.

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References

  1. Abdullah E, Fareez M, Jamaludin MS, Notomi M, Rasmussen J (2013) Musculoskeletal analysis of driving fatigue: the influence of seat adjustments. In: Advanced engineering forum, vol 10, pp 373–378

    Google Scholar 

  2. Cao Y, Van Der Sluis F, Theune M, Nijholt A (2010) Evaluating informative auditory and tactile cues for in-vehicle information systems. In: Proceedings of the 2nd international conference on automotive user interfaces and interactive vehicular applications. ACM, pp 102–109.

    Google Scholar 

  3. Chakrabarty N, Lakshman A, Gupta K, Bhatnagar A (2013) Visual challenges among drivers: a case study in Delhi, India. Int J Innov Res Sci Eng Technol 2(7)

    Google Scholar 

  4. Chakrabarty N, Gupta K, Kumar R, Singh G (2014) Effect of extreme weather conditions on speed profiles of drivers: a case study in Delhi, India. Int J Res Appl Sci Eng Technol 2(11)

    Google Scholar 

  5. Chakrabarty N, Velmurugan S, Gupta K, Rikku R, Shatakshi S (2015) Assessment of visual traits of heavy vehicle drivers in India. Glob J Res Anal 4(4)

    Google Scholar 

  6. Chiang DP, Brooks AM, Weir DH (2004) On the highway measures of driver glance behavior with an example automobile navigation system. Appl Ergon 35(3):215–223

    Article  Google Scholar 

  7. Chimote K, Gupta M (2013) Integrated approach of ergonomics and FEM into truck drivers seat comfort. In: 1st Int’l and 16th national conference on machines and mechanisms (iNaCoMM 2013). IIT Roorkee, India

    Google Scholar 

  8. De Waard D (1996) The measurement of drivers’ mental workload. Groningen University, Traffic Research Centre, Netherlands

    Google Scholar 

  9. Doshi A, Cheng SY, Trivedi MM (2009) A novel active heads-up display for driver assistance. IEEE Trans Syst Man Cybern B Cybern 39(1):85–93

    Article  Google Scholar 

  10. Enokida S, Kotani K, Suzuki S, Asao T, Ishikawa T, Ishida K (2013) Assessing mental workload of in-vehicle information systems by using physiological metrics. In: Human interface and the management of information. Information and interaction design. Springer, Berlin, pp 584–593

    Google Scholar 

  11. Genuit K (2009) Vehicle interior noise—combination of sound, vibration and interactivity. Sound Vib 43(12):8

    Google Scholar 

  12. Gopher D, Braune R (1984) On the psychophysics of workload: why bother with subjective measures? Hum Factors 26(5):519–532

    Article  Google Scholar 

  13. Green P (2001) Variations in task performance between younger and older drivers: UMTRI research on telematics. In: Association for the advancement of automotive medicine conference on aging and driving

    Google Scholar 

  14. Griffin MJ (2007) Discomfort from feeling vehicle vibration. Veh Syst Dyn 45(7–8):679–698

    Article  Google Scholar 

  15. Hancock PA, Lesch M, Simmons L (2003) The distraction effects of phone use during a crucial driving maneuver. Accid Anal Prev 35(4):501–514

    Article  Google Scholar 

  16. Harvey C (2009) Development of a method for evaluating the usability of in-vehicle information systems (IVISs). In: Human–computer interaction—INTERACT 2009. Springer, Berlin, pp 856–859

    Google Scholar 

  17. Ingle ST, Pachpande BG (2005) Monitoring and assessment of daily exposure of residential population to highway traffic noise in Jalgaon urban center. In: Proceedings of the 16th Mini-EURO conference on advanced in modeling, optimization and management of transportation and systems-theory and practice. EWGT, Poznan, pp 94–98

    Google Scholar 

  18. Jagannath M, Balasubramanian V (2014) Assessment of early onset of driver fatigue using multimodal fatigue measures in a static simulator. Appl Ergon 45(4):1140–1147

    Article  Google Scholar 

  19. Jakus G, Dicke C, Sodnik J (2015) A user study of auditory, head-up and multi-modal displays in vehicles. Appl Ergon 46:184–192

    Article  Google Scholar 

  20. Kar S, Bhagat M, Routray A (2010) EEG signal analysis for the assessment and quantification of driver’s fatigue. Transp Res F Traffic Psychol Behav 13(5):297–306

    Article  Google Scholar 

  21. Karmakar S, Majumdar D, Pal MS, Majumdar D (2011) Ergonomic study of ingress-egress of an army vehicle in simulated environment. In: Proceedings of international conference on trends in product lifecycle, modeling, simulation and synthesis (PLMSS), Bangalore, India, pp 69–74

    Google Scholar 

  22. Kim SM, Park J, Choe J, Jung ES (2011) The effective IVIS menu and control type of an instrumental gauge cluster and steering wheel remote control with a menu traversal. In: Human–computer interaction. Towards mobile and intelligent interaction environments. Springer, Berlin, pp 401–410

    Google Scholar 

  23. Kim H, Song H (2014) Evaluation of the safety and usability of touch gestures in operating in-vehicle information systems with visual occlusion. Appl Ergon 45(3):789–798

    Article  Google Scholar 

  24. Kulkarni D, Ranjan S, Chitodkar V, Gurjar V, Ghaisas CV, Mannikar AV (2011) Size India-anthropometric size measurement of indian driving population (No. 2011-26-0108). SAE technical paper

    Google Scholar 

  25. Kyung G, Nussbaum MA (2009) Specifying comfortable driving postures for ergonomic design and evaluation of the driver workspace using digital human models. Ergonomics 52(8):939–953

    Article  Google Scholar 

  26. Lam LT (2002) Distractions and the risk of car crash injury: the effect of drivers’ age. J Saf Res 33(3):411–419

    Article  Google Scholar 

  27. Lansdown TC, Brook-Carter N, Kersloot T (2004) Distraction from multiple in-vehicle secondary tasks: vehicle performance and mental workload implications. Ergonomics 47(1):91–104

    Article  Google Scholar 

  28. Liu Y (1996) Quantitative assessment of effects of visual scanning on concurrent task performance. Ergonomics 39(3):382–399

    Article  Google Scholar 

  29. Makishita H, Matsunaga K (2008) Differences of drivers’ reaction times according to age and mental workload. Accid Anal Prev 40(2):567–575

    Article  Google Scholar 

  30. Matthews G, Reinerman-Jones LE, Barber DJ, Abich J (2015) The psychometrics of mental workload multiple measures are sensitive but divergent. Hum Factors 57(1):125–143

    Article  Google Scholar 

  31. Muzammil M, Siddiqui SS, Hasan F (2004) Physiological effect of vibrations on tractor drivers under variable ploughing conditions. J Occup Health 46(5):403–409

    Article  Google Scholar 

  32. Patel M, Lal SKL, Kavanagh D, Rossiter P (2011) Applying neural network analysis on heart rate variability data to assess driver fatigue. Expert Syst Appl 38(6):7235–7242

    Article  Google Scholar 

  33. Pillai SS, Ray GG (2014) Ergonomics intervention in automobile driver communication in a developing country. In: Proceedings of the 2014 European conference on cognitive ergonomics. ACM, p 8

    Google Scholar 

  34. Reed MP, Manary MA, Flannagan CA, Schneider LW (2002) A statistical method for predicting automobile driving posture. Hum Factors 44(4):557–568

    Article  Google Scholar 

  35. Rakauskas ME, Gugerty LJ, Ward NJ (2004) Effects of naturalistic cell phone conversations on driving performance. J Saf Res 35(4):453–464

    Article  Google Scholar 

  36. Shinar D, Tractinsky N, Compton R (2005) Effects of practice, age, and task demands, on interference from a phone task while driving. Accid Anal Prev 37(2):315–326

    Article  Google Scholar 

  37. Singh H, Bhatia JS, Kaur J (2011) Eye tracking based driver fatigue monitoring and warning system. In: 2010 India international conference on power electronics (IICPE). IEEE, pp 1–6

    Google Scholar 

  38. Tiwari RK, Giripunje SD (2014) Design approach for EEG-based human computer interaction driver monitoring system. Int J Latest Trends Eng Technol IJLTET 3(4):250–255

    Google Scholar 

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Correspondence to Sougata Karmakar .

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Verma, I., Nath, S., Karmakar, S. (2018). Research in Driver–Vehicle Interaction: Indian Scenario. In: Ray, G., Iqbal, R., Ganguli, A., Khanzode, V. (eds) Ergonomics in Caring for People. Springer, Singapore. https://doi.org/10.1007/978-981-10-4980-4_43

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  • DOI: https://doi.org/10.1007/978-981-10-4980-4_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4979-8

  • Online ISBN: 978-981-10-4980-4

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