Understanding the effects of peripheral vision and muscle memory on in-vehicle touchscreen interactions

Understanding the effects of peripheral vision and muscle memory on in-vehicle touchscreen interactions

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It is important to gain a better understanding of how drivers interact with in-vehicle touchscreens to help design interfaces to minimise ‘eyes-off-road’ time. The study investigated the relative effects of two interaction mechanisms (peripheral vision – PV, muscle memory – MM) shown to be relevant to visual behaviour when driving, on the time to press different sized buttons (small 6 × 6 cm, medium 10 × 10 cm, large 14 × 14 cm) on an in-vehicle touchscreen. Twenty-five participants took part in a driving simulator study and were presented with a single, white, square button on 24 successive trials. For MM conditions, participants wore a pair of glasses blocking their PV and for PV conditions, they were asked to keep their focus on the vehicle ahead. Results showed that task time gradually decreased when participants could only use MM. However, overall task time for MM conditions were significantly higher than PV conditions. Participants rated the use of MM to be more difficult than PV. In contrast, results suggest that for interfaces that utilise peripheral visual processing, the learning effect is not evident and operation times are constant over time. These findings indicate that in-vehicle touch screens should be designed to utilise PV for making simple button selections with reduced visual demand.


    1. 1)
      • 1. Lee, J.D., Young, K.L., Regan, M.A.: ‘Defining driver distraction’, in Lee, J.D., Young, K.L., Regan, M.A. (Eds.): ‘Driver distraction: theory, effects and mitigation’ (CRC Press, Boca Raton, FL, 2008), pp. 3140.
    2. 2)
      • 2. Young, K., Regan, M., Hammer, M.: ‘Driver distraction: a review of the literature’, in Faulks, I.J., Regan, M., Stevenson, M., et al (Eds.): ‘Distracted driving’ (Australasian College of Road Safety, Sydney, 2007), pp. 379405.
    3. 3)
      • 3. Hosking, S.G., Young, K., Regan, M.A.: ‘The effects of text messaging on young novice driver performanceHum. Factors, 2009, 51, (4), pp. 582592.
    4. 4)
      • 4. Beck, K.H.F.Y., Wang, M.Q.: ‘Cell phone users, reported crash risk, unsafe driving behaviors and dispositions: a survey of motorists in Maryland’, J. Safety Res., 2007, 38, (6), pp. 683688.
    5. 5)
      • 5. Lamble, D., Laakso, M., Summala, H.: ‘Detection thresholds in car following situations and peripheral vision: implications for positioning of visually demanding in-car displays’, Ergonomics, 1999, 42, (6), pp. 807815.
    6. 6)
      • 6. Engström, J., Johansson, E., Östlund, J.: ‘Effects of visual and cognitive load in real and simulated motorway driving’, Transp. Res. F, Traffic Psychol. Behav., 2006, 8, (2), pp. 97120.
    7. 7)
      • 7. Rümelin, S., Butz, A.: ‘How to make large touch screens usable while driving’. 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Eindhoven, The Netherlands, 2013.
    8. 8)
      • 8. Reimer, B., Mehler, B., Donmez, B.: ‘A study of young adults examining phone dialing while driving’, Transp. Res. Part F, 2014, 24, pp. 5768.
    9. 9)
      • 9. Harvey, C., Stanton, N.A.: ‘Usability evaluation for in-vehicle systems’ (CRC Press, Boca Raton, FL, 2013).
    10. 10)
      • 10. Burnett, G.E., Joyner, S.M.: ‘An assessment of moving map and symbol-based route guidance systems’, in Ian Noy, Y. (Ed.): ‘Ergonomics and safety of intelligent driver interfaces’ (Lawrence Erlbaum Associates, Mahwah, NJ, 1999), pp. 115136.
    11. 11)
      • 11. Hada, H.: ‘Drivers’ visual attention to in-vehicle displays: effects of display location and road types’ (University of Michigan Press, Ann Arbor, MI, 1994).
    12. 12)
      • 12. Eren, A.L., Burnett, G., Large, D.R.: ‘Can in-vehicle touchscreens be operated with zero visual demand? An exploratory driving simulator study’. 4th Int. Conf. on Driver Distraction and Inattention, Sydney, 2015.
    13. 13)
      • 13. Horrey, W.J., Wickens, C.D.: ‘Focal and ambient visual contributions and driver visual scanning in lane keeping and hazard detection’, Proc. Hum. Factors Ergon. Soc. Annu. Meet., 2004, 48, (19), pp. 23252329.
    14. 14)
      • 14. Crundall, D., Underwood, G., Chapman, P.: ‘Driving experience and the functional field of view’, Perception, 1999, 28, (9), pp. 10751087.
    15. 15)
      • 15. Mourant, R.R., Rockwell, T.H.: ‘Strategies of visual search by novice and experienced drivers’, Hum. Factors, 1972, 14, (4), pp. 325335.
    16. 16)
      • 16. Land, M., Horwood, J.: ‘Which parts of the road guide steering’, Nature, 1995, 377, (6547), pp. 339340.
    17. 17)
      • 17. Summala, H., Nieminen, T., Punto, M.: ‘Maintaining lane position with peripheral vision during in-vehicle tasks’, Hum. Factors, J. Hum. Factors Ergon. Soc., 1996, 38, (3), pp. 442451.
    18. 18)
      • 18. Summala, H., Lamble, D., Laakso, M.: ‘Driving experience and perception of the lead car's braking when looking at in-car targets’, Accident Anal. Prev., 1998, 30, (4), pp. 401407.
    19. 19)
      • 19. ‘Medical Dictionary. S.v. ‘Motor learning’’. Available at, accessed 22 June 2016.
    20. 20)
      • 20. Charlton, S.G., Starkey, N.J.: ‘Driving without awareness: the effects of practice and automaticity on attention and driving’, Transp. Res. F, Traffic Psychol. Behav., 2011, 14, (6), pp. 456471.
    21. 21)
      • 21. Van Dam, A.: ‘Post-WIMP user interfaces’. Commun. of the ACM CACM, 1997, 40, (2), pp. 6367.
    22. 22)
      • 22. Krol, K., Papanicolaou, C., Vernitski, A., et al: ‘Too taxing on the mind!’ Authentication grids are not for everyone’. Int. Conf. on Human Aspects of Information Security, Privacy, and Trust, Los Angeles, CA, USA, 2015.
    23. 23)
      • 23. MacLean, K.E.: ‘Application-centered haptic interface design’, in Srinivasan, M., Cutkosky, M. (Eds.): Human and machine haptics (MIT Press, Cambridge, MA, 1999).
    24. 24)
      • 24. Smyth, T.N., Kirkpatrick, A.E.: ‘A new approach to haptic augmentation of the GUI’. Proc. 8th Int. Conf. on Multimodal Interfaces, Banff, Canada, 2006.
    25. 25)
      • 25. Stevens, A., Quimby, A., Board, A., et al: ‘Design guidelines for safety of in-vehicle information systems’ (TRL Limited, Wokingham, 2002).
    26. 26)
      • 26. Proteau, L., Marteniuk, R.G., Girouard, Y., et al: ‘On the type of information used to control and learn an aiming movement after moderate and extensive training’, Hum. Mov. Sci., 1987, 6, (2), pp. 181199.
    27. 27)
      • 27. Tsimhoni, O.: ‘Effects of visual demand and in-vehicle task complexity on driving and task performance as assessed by visual occlusion’ (University of Michigan Press, Ann Arbor, MI, 1999).
    28. 28)
      • 28. Paul, G.: ‘Variations in task performance between younger and older drivers: UMTRI research on telematics’. Association for the Advancement of Automotive Medicine Conf. on Aging and Driving, Southfield, MI, USA, 2001.
    29. 29)
      • 29. Visual Impairment North East. Available at, accessed 23 July 2017.
    30. 30)
      • 30. Hart, S. G., Staveland, L. E.: ‘Development of NASA-TLX (task load index): results of empirical and theoretical research’, Adv. Psychol., 1988, 52, pp. 139183.
    31. 31)
      • 31. University of Iowa: ‘The National Advanced Driving Simulator’. Available at, accessed 17 April 2017.
    32. 32)
      • 32. Horberry, T., Anderson, J., Regan, M.A., et al: ‘Driver distraction: the effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance’, Accident Anal. Prev., 2006, 38, (1), pp. 185191.

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