access icon free Understanding the distraction and behavioural adaptations of drivers when experiencing failures of digital side mirrors

Digital mirrors within vehicles may improve aerodynamics and the field of view. Nevertheless, digital technology may fail. This study investigated the influences of different failures on distraction and behavioural adaptation, measured using glance and driving behaviour, as well as a workload questionnaire. Three failure conditions included a blank (no information), a degraded (hard to extract information), and a frozen (misleading information) display. In a high-fidelity simulator, 30 participants undertook three drives in a UK motorway scenario. During the second drive, the right (offside) digital mirror failed during the instruction to conduct a left–right lane-change manoeuvre, and remained until the end of that drive. Results show that failures led to longer and more glances towards the driver-side mirror, increased variability of speed and lateral position, and heightened workload; however, these distracting and behavioural effects lessened in future drives. Behavioural adaptations in the form of increased rear-view mirror or blind-spot checks could not be established. There were indications that the blanked mirror affected workload less than the other failures.

Inspec keywords: behavioural sciences computing; road vehicles; aerodynamics; vehicle dynamics; traffic engineering computing; mirrors; road traffic

Other keywords: distracting effects; right digital mirror; UK motorway scenario; behavioural adaptation; digital technology; left-right lane-change manoeuvre; digital side mirrors; frozen display; driver-side mirror; blanked mirror; behavioural adaptations; failure conditions; high-fidelity simulator; behavioural effects; rear-view mirror

Subjects: Traffic engineering computing; Social and behavioural sciences computing

References

    1. 1)
      • 2. NHTSA: ‘Vehicle backover avoidance technology study: report to congress’. U.S. Department of Transportation, 2006.
    2. 2)
      • 21. Wickens, C.D.: ‘Imperfect and unreliable automation and its implications for attention allocation, information access and situation awareness’. University of Illinois, Aviation Research Laboratory, 2000.
    3. 3)
      • 49. Li, P., Merat, N., Zheng, Z., et al: ‘Does cognitive distraction improve or degrade lane keeping performance? Analysis of time-to-line crossing safety margins’, Transp. Res. F, Traffic Psychol. Behav., 2018, 57, pp. 4858.
    4. 4)
      • 40. UK Government: ‘The road vehicles (construction and use) regulations 1986’, 1078, The National Archives, 1986.
    5. 5)
      • 22. Wickens, C.D., Dixon, S.R.: ‘The benefits of imperfect diagnostic automation: a synthesis of the literature’, Theor. Issues Ergon. Sci., 2007, 8, (3), pp. 201212.
    6. 6)
      • 23. Beggiato, M., Krems, J.F.: ‘The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information’, Transp. Res. F, Traffic Psychol. Behav., 2013, 18, pp. 4757.
    7. 7)
      • 52. Mourant, R.R., Rockwell, T.H.: ‘Strategies of visual search by novice and experienced drivers’, Hum. Factors, 1972, 14, (4), pp. 325335.
    8. 8)
      • 44. Boyle, L.N., Lee, J.D.: ‘Using driving simulators to assess driving safety’, Accident Anal. Prev., 2010, 42, (3), pp. 785787.
    9. 9)
      • 37. Sanchez, J.: ‘Factors that affect trust and reliance on an automated aid’. PhD thesis, Georgia Institute of Technology, 2006.
    10. 10)
      • 48. Haigney, D.E., Taylor, R.G., Westerman, S.J.: ‘Concurrent mobile (cellular) phone use and driving performance: task demand characteristics and compensatory processes’, Transp. Res. F, Traffic Psychol. Behav., 2000, 3, (3), pp. 113121.
    11. 11)
      • 35. Morel, G., Pétin, J.-F., Johnson, T.L.: ‘Reliability, maintainability, and safety’, in Nof, S.Y. (Ed.): ‘Springer handbook of automation’ (Springer, Berlin, Heidelberg, 2009), pp. 735747.
    12. 12)
      • 34. Nilsson, J., Strand, N., Falcone, P., et al: ‘Driver performance in the presence of adaptive cruise control related failures: implications for safety analysis and fault tolerance’. 43rd Annual IEEE/IFIP Conf. on Dependable Systems and Networks Workshop (DSN-W), Budapest, Hungary, 2013.
    13. 13)
      • 27. Iqbal, S.T., Zheng, X.S., Bailey, B.P.: ‘Task-evoked pupillary response to mental workload in human–computer interaction’. CHI'04 Extended Abstracts on Human Factors in Computing Systems, New York, NY, USA, 2004.
    14. 14)
      • 8. Nolte, T., Hansson, H., Bello, L.L.: ‘Automotive communications-past, current and future’. 10th IEEE Conf. on Emerging Technologies and Factory Automation, 2005. ETFA 2005, Catania, Italy, 2005.
    15. 15)
      • 13. Lee, J.D., See, K.A.: ‘Trust in automation: designing for appropriate reliance’, Hum. Factors, 2004, 46, (1), pp. 5080.
    16. 16)
      • 15. Hoff, K.A., Bashir, M.: ‘Trust in automation: integrating empirical evidence on factors that influence trust’, Hum. Factors, 2015, 57, (3), pp. 407434.
    17. 17)
      • 5. Hollnagel, E., Källhammer, Y.: ‘Effects of a night vision enhancement system (NVES) on driving: results from a simulator study’. Second Int. Driving Symp. on Human Factors in Driver Assessment, Training and Vehicle Design, Park City, UT, USA, 2003.
    18. 18)
      • 39. Hart, S.G., Staveland, L.E.: ‘Development of Nasa-TLX (task load index): results of empirical and theoretical research’, in Hancock, P.A., Meshkati, N. (Eds.): ‘Advances in psychology’ (Elsevier, Amsterdam, Netherlands, North-Holland, 1988), pp. 139183.
    19. 19)
      • 38. Rapoport, M.J., Baniña, M.C.: ‘Impact of psychotropic medications on simulated driving’, CNS Drugs, 2007, 21, (6), pp. 503519.
    20. 20)
      • 17. Manzey, D., Reichenbach, J., Onnasch, L.: ‘Human performance consequences of automated decision aids: the impact of degree of automation and system experience’, J. Cogn. Eng. Decis. Mak., 2012, 6, (1), pp. 5787.
    21. 21)
      • 20. Park, J., Sung, D., Lee, W.: ‘A driving simulator study on adaptive cruise control failure’. 2006 SICE-ICASE Int. Joint Conf., Busan, Republic of Korea, 2006.
    22. 22)
      • 46. Birrell, S.A., Young, M.S.: ‘The impact of smart driving aids on driving performance and driver distraction’, Transp. Res. F, Traffic Psychol. Behav., 2011, 14, (6), pp. 484493.
    23. 23)
      • 12. Dzindolet, M.T., Peterson, S.A., Pomranky, R.A., et al: ‘The role of trust in automation reliance’, Int. J. Hum.-Comput. Stud., 2003, 58, (6), pp. 697718.
    24. 24)
      • 26. Fairclough, S., Ashby, M., Parkes, A.M.: ‘In-vehicle displays, visual workload and usability evaluation’, Vis. Veh., 1993, 4, pp. 245254.
    25. 25)
      • 10. Schlummer, M., Althaus, D., Braasch, A., et al: ‘ISO 26262 – the relevance and importance of qualitative and quantitative methods for safety and reliability issues regarding the automotive industry’, J. Konbin, 2010, 14–15, pp. 165176.
    26. 26)
      • 25. Pampel, S., Nofal, T., Burnett, G.: ‘A preliminary simulator study to investigate the effects of digital mirror failures on drivers’ glance behaviour, situation awareness, criticality and trust’. 6th Driver Distraction and Inattention Conf., Gothenburg, Sweden, 2018.
    27. 27)
      • 6. Hucho, W.-H., Sovran, G.: ‘Aerodynamics of road vehicles’, Annu. Rev. Fluid Mech., 1993, 25, pp. 485537.
    28. 28)
      • 4. Zaindl, A., Zimmermann, A., Dörner, K., et al: ‘Kamera-monitor-system Als Spiegelersatz Beim Nutzfahrzeug’, ATZ – Automobiltech. Z., 2015, 117, (5), pp. 2833.
    29. 29)
      • 43. Boer, E.R., Lee, J.D., Ward, N.J.: ‘Structuring data to compare driver behavior across driving simulators’. Proc. Human Factors and Ergonomics Society Annual Meeting, Boston, MA, USA, 2012.
    30. 30)
      • 42. Norman, D.A.: ‘The design of future things’ (Basic Books, New York, NY, USA, 2009).
    31. 31)
      • 19. Gold, C., Körber, M., Hohenberger, C., et al: ‘Trust in automation – before and after the experience of take-over scenarios in a highly automated vehicle’, Procedia Manuf., 2015, 3, pp. 30253032.
    32. 32)
      • 33. de Waard, D.: ‘The measurement of drivers’ mental workload’ (Rijks Universiteit Groningen, Traffic Research Center, Groningen, Netherlands, 1996).
    33. 33)
      • 47. Engström, J., Johansson, E., Östlund, J.: ‘Effects of visual and cognitive load in real and simulated motorway driving’, Transp. Res. F, Traffic Psychol. Behav., 2005, 8, (2), pp. 97120.
    34. 34)
      • 41. Norman, D.A.: ‘Some observations on mental models’, in Gentner, D., Stevens, A.L. (Eds.): ‘Mental models’ (Lawrence Erlbaum Associates Inc., Mahwah, NJ, USA, 1983), pp. 241244.
    35. 35)
      • 45. Lee, S.E., Olsen, E.C., Wierwille, W.W.: ‘A comprehensive examination of naturalistic lane-changes’ (National Highway Traffic Safety Administration, Washington, DC, USA, 2004).
    36. 36)
      • 32. Tijerina, L., Parmer, E., Goodman, M.J.: ‘Driver workload assessment of route guidance system destination entry while driving: a test track study’. Proc. 5th ITS World Congress, Seoul, Republic of Korea, 1998.
    37. 37)
      • 11. Kraut, J.M., Kiken, A., Billinghurst, S., et al: ‘Effects of data communications failure on air traffic controller sector management effectiveness, situation awareness, and workload’, in Salvendy, G., Smith, M.J. (Eds.): ‘Human interface’ (Springer, Berlin, Heidelberg, 2011), pp. 493499.
    38. 38)
      • 14. Muir, B.M., Moray, N.: ‘Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation’, Ergonomics, 1996, 39, (3), pp. 429460.
    39. 39)
      • 31. Dingus, T.A., Hulse, M.C., Antin, J.F., et al: ‘Attentional demand requirements of an automobile moving-map navigation system’, Transp. Res. A, Gen., 1989, 23, (4), pp. 301315.
    40. 40)
      • 29. Chiang, D.P., Brooks, A.M., Weir, D.H.: ‘An experimental study of destination entry with an example automobile navigation system’. Society of Automotive Engineers Special Publication, 2001.
    41. 41)
      • 9. Avizienis, A., Laprie, J., Randell, B.: ‘Fundamental concepts of dependability’ (UCLA, Los Angeles, CA, USA, 2000).
    42. 42)
      • 3. Large, D.R., Crundall, E., Burnett, G., et al: ‘Driving without wings: the effect of different digital mirror locations on the visual behaviour, performance and opinions of drivers’, Appl. Ergon., 2016, 55, pp. 138148.
    43. 43)
      • 50. Ajzen, I.: ‘Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior 1’, J. Appl. Soc. Psychol., 2002, 32, (4), pp. 665683.
    44. 44)
      • 24. Hogervorst, M.A., de Vries, S.C.: ‘A critical analysis of ECE-regulation 46 & directive 2003/97/EC’. TNO, 2010.
    45. 45)
      • 30. Chisholm, S.L., Caird, J.K., Lockhart, J., et al: ‘Driving performance while engaged in Mp-3 player interaction: effects of practice and task difficulty on PRT and eye movements’. 4th Int. Driving Symp. on Human Factors in Driver Assessment, Training, and Vehicle Design, Rockport, ME, USA, 2007.
    46. 46)
      • 51. Chapman, P.R., Underwood, G.: ‘Visual search of driving situations: danger and experience’, Perception, 1998, 27, (8), pp. 951964.
    47. 47)
      • 28. Madhavan, P., Wiegmann, D.A., Lacson, F.C.: ‘Automation failures on tasks easily performed by operators undermine trust in automated aids’, Hum. Factors, 2006, 48, (2), pp. 241256.
    48. 48)
      • 36. Merritt, S.M., Ilgen, D.R.: ‘Not all trust is created equal: dispositional and history-based trust in human–automation interactions’, Hum. Factors, 2008, 50, (2), pp. 194210.
    49. 49)
      • 1. Rickesh, T.N., Naveen Vignesh, B.: ‘Augmented reality solution to the blind spot issue while driving vehicles’. Recent Advances in Intelligent Computational Systems (RAICS), Trivandrum, India, 2011.
    50. 50)
      • 18. Abe, G., Richardson, J.: ‘The influence of alarm timing on driver response to collision warning systems following system failure’, Behav. Inf. Technol., 2006, 25, (5), pp. 443452.
    51. 51)
      • 7. Smith, M., Kane, V., Gabbard, J.L., et al: ‘Augmented mirrors: depth judgments when augmenting video displays to replace automotive mirrors’, Proc. Human Factors and Ergonomics Society Annual Meeting, 2016, 60, (1), pp. 15901594.
    52. 52)
      • 16. Dzindolet, M.T., Pierce, L.G., Beck, H.P., et al: ‘The perceived utility of human and automated aids in a visual detection task’, Hum. Factors, 2002, 44, (1), pp. 7994.
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