Influence of haptic guidance on driving behaviour under degraded visual feedback conditions

Influence of haptic guidance on driving behaviour under degraded visual feedback conditions

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Drivers always suffer varying degrees of performance decrements under insufficient visual feedback (VF) conditions. Nowadays, haptic guidance (HG) is a developing assistance technology to enhance steering performance; however, driver reactions to HG under degraded VF conditions are still unclear. Therefore, this study focuses on the influence of HG on driving behaviour when part of the road ahead is occluded. The experimental conditions combined three levels of HG, namely none, weak, and strong torques, with four scenarios of VF: whole, near, mid, and far segments. The driving experiment was conducted using a high-fidelity driving simulator with 12 participants. By analysing the standard deviation of lane position and time-to-lane crossing, it was shown that the lane keeping performance became worse without the HG for the degraded VF of near and far segments compared to that of whole and mid-segments. Furthermore, it indicates that the performance decrement in the worse cases was compensated by the implementation of HG, and the strong torque was significantly more effective than the weak torque. Additionally, the use of HG always resulted in an improved turning manoeuvre while approaching curves in the degraded VF of near and far segments.


    1. 1)
      • 1. Vaa, T., Penttinen, M., Spyropoulou, I.: ‘Intelligent transport systems and effects on road traffic accidents: state of the art’, IET Intell. Transp. Syst., 2007, 1, (2), pp. 8188.
    2. 2)
      • 2. Griffiths, P., Gillespie, R.B.: ‘Shared control between human and machine: haptic display of automation during manual control of vehicle heading’. Proc. Int. Symp. on Haptic Interfaces for Virtual Environment and Teleoperator Systems, Chicago, USA, March 2004, pp. 358366.
    3. 3)
      • 3. Land, M., Horwood, J.: ‘Which parts of the road guide steering’, Nature, 1995, 377, (6547), pp. 339340.
    4. 4)
      • 4. Salvucci, D.D.: ‘Modeling driver behavior in a cognitive architecture’, Hum. Factors, 2006, 48, (2), pp. 362380.
    5. 5)
      • 5. Steele, M., Gillespie, R.B.: ‘Shared control between human and machine: using a haptic steering wheel to aid in land vehicle guidance’. Proc. Human Factors Ergonomics Society Annual Meeting, Los Angeles, USA, October 2001, pp. 16711675.
    6. 6)
      • 6. Flemisch, F.O., Bengler, K., Bubb, H., et al: ‘Towards cooperative guidance and control of highly automated vehicles: H-mode and conduct-by-wire’, Ergonomics, 2014, 57, (3), pp. 343360.
    7. 7)
      • 7. Forsyth, B.A., MacLean, K.E.: ‘Predictive haptic guidance: intelligent user assistance for the control of dynamic tasks’, IEEE Trans. Vis. Comput. Graphics, 2006, 12, (1), pp. 103113.
    8. 8)
      • 8. Soudbakhsh, D., Eskandarian, A.: ‘Steering control collision avoidance system and verification through subject study’, IET Intell. Transp. Syst., 2015, 9, (10), pp. 907915.
    9. 9)
      • 9. Mulder, M., Abbink, D.A., Boer, E.R.: ‘Sharing control with haptics seamless driver support from manual to automatic control’, Hum. Factors, 2012, 54, (5), pp. 786798.
    10. 10)
      • 10. Switkes, J.P., Rossetter, E.J., Coe, I.A., et al: ‘Handwheel force feedback for lanekeeping assistance: combined dynamics and stability’, J. Dyn. Syst. Meas. Control, 2006, 128, (3), pp. 532542.
    11. 11)
      • 11. Griffiths, P.G., Gillespie, R.B.: ‘Sharing control between humans and automation using haptic interface: primary and secondary task performance benefits’, Hum. Factors, 2005, 47, (3), pp. 574590.
    12. 12)
      • 12. Mars, F., Deroo, M., Hoc, J.M.: ‘Analysis of human-machine cooperation when driving with different degrees of haptic shared control’, IEEE Trans. Haptics, 2014, 7, (3), pp. 324333.
    13. 13)
      • 13. Land, M.F., Lee, D.N.: ‘Where we look when we steer’, Nature, 1994, 369, (6483), pp. 742744.
    14. 14)
      • 14. Kandil, F.I., Rotter, A., Lappe, M.: ‘Driving is smoother and more stable when using the tangent point’, J. Vis., 2009, 9, (1), pp. 111.
    15. 15)
      • 15. Chattington, M., Wilson, M., Ashford, D., et al: ‘Eye-steering coordination in natural driving’, Exp. Brain Res., 2007, 180, (1), pp. 114.
    16. 16)
      • 16. Salvucci, D.D., Gray, R.: ‘A two-point visual control model of steering’, Perception, 2004, 33, (10), pp. 12331248.
    17. 17)
      • 17. Mole, C.D., Kountouriotis, G., Billington, J., et al: ‘Optic flow speed modulates guidance level control: new insights into two-level steering’, J. Exp. Psychol. Percept. Perform., 2016, 42, (11), pp. 18181838.
    18. 18)
      • 18. Profumo, L., Pollini, L., Abbink, D.A.: ‘Direct and indirect haptic aiding for curve negotiation’. Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics, Manchester, UK, October 2013, pp. 18461852.
    19. 19)
      • 19. Konstantopoulos, P., Chapman, P., Crundall, D.: ‘Driver's visual attention as a function of driving experience and visibility. Using a driving simulator to explore drivers’ eye movements in day, night and rain driving’, Accid. Anal. Prev., 2010, 42, (3), pp. 827834.
    20. 20)
      • 20. Pettitt, M.A., Burnett, G.E., Bayer, S., et al: ‘Assessment of the occlusion technique as a means for evaluating the distraction potential of driver support systems’, IET Intell. Transp. Syst., 2006, 153, (4), pp. 259266.
    21. 21)
      • 21. Gabbard, J.L., Fitch, G.M., Kim, H.: ‘Behind the glass: driver challenges and opportunities for AR automotive applications’, Proc. IEEE, 2014, 102, (2), pp. 124136.
    22. 22)
      • 22. Kemeny, A., Panerai, F.: ‘Evaluating perception in driving simulation experiments’, Trends Cogn. Sci., 2003, 7, (1), pp. 3137.
    23. 23)
      • 23. Ernst, M.O., Banks, M.S.: ‘Humans integrate visual and haptic information in a statistically optimal fashion’, Nature, 2002, 415, (6870), pp. 429433.
    24. 24)
      • 24. Wolpert, D.M., Diedrichsen, J., Flanagan, J.R.: ‘Principles of sensorimotor learning’, Nat. Rev. Neurosci., 2011, 12, (12), pp. 739751.
    25. 25)
      • 25. Salvucci, D., Boer, E., Liu, A.: ‘Toward an integrated model of driver behavior in cognitive architecture’, Transp. Res. Rec., 2001, 1779, pp. 916.
    26. 26)
      • 26. Wang, Z., Zheng, R., Kaizuka, T., et al: ‘The effect of a haptic guidance steering system on fatigue-related driver behavior’, IEEE Trans. Human-Mach. Syst., 2017, 47, (5), pp. 741748.
    27. 27)
      • 27. McLean, J.R., Hoffmann, E.R.: ‘Steering reversals as a measure of driver performance and steering task difficulty’, Hum. Factors, 1975, 17, (3), pp. 248256.
    28. 28)
      • 28. Verster, J.C., Roth, T.: ‘Standard operation procedures for conducting the on-the-road driving test, and measurement of the standard deviation of lateral position (SDLP)’, Int. J. Gen. Med., 2011, 4, pp. 359371.
    29. 29)
      • 29. Lin, C.F., Ulsoy, A.: ‘Calculation of the time to lane crossing and analysis of its frequency distribution’. Proc. American Control Conf., Seattle, USA, June 1995, pp. 35713575.
    30. 30)
      • 30. Frissen, I., Mars, F.: ‘The effect of visual degradation on anticipatory and compensatory steering control’, Q. J. Exp. Psychol., 2014, 67, (3), pp. 499507.
    31. 31)
      • 31. Lefevre, S., Carvalho, A., Gao, Y., et al: ‘Driver models for personalised driving assistance’, Vehicle Syst. Dyn., 2015, 53, (12), pp. 17051720.
    32. 32)
      • 32. Petermeijer, S.M., Abbink, D.A., de Winter, J.C.: ‘Should drivers be operating within an automation-free bandwidth? Evaluating haptic steering support systems with different levels of authority’, Hum. Factors, 2015, 57, (1), pp. 520.

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