Do eye movements reflect driving manoeuvres?

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Do eye movements reflect driving manoeuvres?

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The goal of driver-assistant systems is to monitor the driver's decision-making and intervene where deemed necessary. In order to appropriately support the driver's subsequent driving manoeuvres, knowledge of the driver's intentions is required. Eye movements have been found to be an indicator of information gathering and therefore could be used to derive information about the driver's next planned objective. Here, the aim was to establish whether characteristic eye movement patterns precede particular driving manoeuvres. To this end, drivers' gaze behaviour has been analysed prior to the execution of different driving manoeuvres performed in real traffic using the DLR ViewCar. It was found that distinct gaze patterns preceded each of the driving manoeuvres analysed.

Inspec keywords: eye; traffic engineering computing; road traffic; automobiles

Other keywords: drivers gaze behaviour; real road traffic; driving manoeuvre support; DLR ViewCar; eye movement pattern; driver decision-making; driver-assistant system

Subjects: Traffic engineering computing

References

    1. 1)
      • C.D. Wickens , R. Parasuraman . (1984) Processing resources in attention, Varieties of attention.
    2. 2)
      • M.F. Land , D.N. Lee . Where we look when we steer. Nature , 742 - 744
    3. 3)
      • A. Liu , A.G. Gale , I.D. Brown , C.M. Haslegrave , S.P. Taylor . (1999) Towards predicting driver intentions from patterns of eye fixations, Vision in vehicles VII.
    4. 4)
      • J.R. Anderson , C. Lebiere . (1998) The atomic components of thought.
    5. 5)
      • S.R. Ellis , L. Stark . Statistically dependency in visual scanning. Hum. Factors , 421 - 438
    6. 6)
      • T.A. Dingus , M.C. Hulse , W. Barfield , W. Barfield , T.A. Dingus . (1998) Human–system interface issues in the design and use of advanced traveler information systems, Human factors in intelligent transportation systems.
    7. 7)
      • Salvucci, D.D.: `Inferring driver intent: a case study in lane-change detection', Proc. HFES 48th Annual Meeting, 2004, Santa Monica, CA, USA.
    8. 8)
      • R.R. Mourant , R.J. Donohue . Acquisition of indirect vision information by novice, experiences, and mature drivers. J. Safety Res. , 39 - 46
    9. 9)
      • H.-H. Nagel . A vision of “vision and language” comprises action: an example from road traffic. Artif. Intell. Rev. , 189 - 214
    10. 10)
      • K. Suzuki , H. Jansson . An analysis of driver's steering behaviour during auditory or haptic warnings for the designing of lane departure warning system. JSAE Rev. , 65 - 70
    11. 11)
      • Vollrath, M., Rataj, J.: `Virtual and real driving – tools for the design and assessment of driver assistance', Proc. ITS Congress 2005, 2005, Hanover, Germany.
    12. 12)
      • M. Chattington , M. Wilson , D. Ashford , D.E. Marple-Horvat . Eye-steering coordination in natural driving.
    13. 13)
      • M.A. Recarte , L.M. Nunes . Effects of verbal and spatial-imagery tasks on eye fixations while driving. J. Exp. Psychol. Appl , 1 , 31 - 43
    14. 14)
      • G. Pastor , P. Tejero , M. Chóliz , J. Roca . Rear-view mirror use, driver alertness and road type: an empirical study using EEG measures. Transp. Res. Part F , 286 - 297
    15. 15)
      • Kuge, N., Yamamura, T., Shimoyama, O., Liu, A.: `A driver behavior recognition method based on a driver model framework', Proc. SAE World Congress 2000, 2000, Detroit, MI, USA.
    16. 16)
      • Vollrath, M., Schießl, C., Altmüller, T., Dambier, M., Kornblum, C.: `Erkennung von Fahrmanövern als Indikator für die Belastung des Fahrers', Proc. Der Fahrer im 21. Jahrhundert, 2005, Braunschweig, Germany.
    17. 17)
      • C.D. Wickens , R. Nickerson . (1980) The structure of attentional resources, Attention and performance.
    18. 18)
      • M. Wilson , S. Stephenson , M. Chattington , D.E. Marple-Horvat . Eye movements coordinated with steering benefit performance even when vision is denied. Exp. Brain Res. , 397 - 412
    19. 19)
      • Oliver, N., Pentland, A.P.: `Graphical models for driver behavior recognition in a SmartCar', Proc. IEEE Conf. on Intelligent Vehicles, 2000, Detroit, MI, USA.
    20. 20)
      • D.D. Salvucci , E.R. Boer , A. Liu . Toward an integrated model of driver behavior in a cognitive architecture. Transp. Res. Rec , 9 - 16
    21. 21)
      • Vollrath, M., Totzke, I.: `Möglichkeiten der Nutzung unterschiedlicher Ressourcen für die Fahrer–Fahrzeug-Interaktion', Proc. Der Fahrer im 21. Jahrhundert, 2003, Braunschweig, Germany.
    22. 22)
      • G. Underwood , P. Chapman , N. Brocklehurst , J. Underwood , D.E. Crundall . Visual attention while driving: sequences of eye fixations made by experienced and novice drivers. Ergonomics , 6 , 629 - 646
    23. 23)
      • J.M. Henderson , F. Ferreira . (2004) The interface of language, vision, and action: eye movements and the visual world.
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