Skip to main content

Use Your Brain (and Light) for Innovative Human-Machine Interfaces

  • Conference paper
  • First Online:
Advances in Human Factors and System Interactions

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 497))

Abstract

The human machine interface (HMI) system of a vehicle is made up of a number of input and output devices that work in harmony to allow the driver to access a number of features and functions. The HMI of motor vehicles has evolved slowly up until the late 1990s when the first automation systems (e.g., Cruise Control) and touch screens were introduced. Since then, the amount of technologies being introduced into the car, especially over the last few years has sky-rocketed. Of these technologies none can be considered more challenging than that of the move towards vehicle automation. Given this push, new ways of interaction with the vehicle will be needed. In this paper we present two new innovative HMI techniques that will be key to addressing this challenge, namely brain-computer interfaces (BCI’s) and ambient display technology aimed to make the driver (or passenger) interaction less demanding and more intuitive.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Land Rover Infotainment. http://www.landrover.com/ownership/incontrol/infotainment/index.html

  2. Burnett, G.E., Large, D.R., Lawson, G., De-Kremer, S., Skrypchuk, L.: A comparison of resistive and capacitive touchscreens for use within vehicles. Adv. Transport. 31 (2013)

    Google Scholar 

  3. Apple CarPlay. http://www.apple.com/uk/ios/carplay/

  4. Android Auto. https://www.android.com/intl/en_uk/auto/

  5. BMW Gesture commands. http://www.bmw.com/com/en/newvehicles/7series/sedan/2015/showroom/innovative_functionality.html

  6. NHTSA: US Department of Transportation Releases Policy on Automated Vehicle Development. (2015)

    Google Scholar 

  7. SAE: Automated driving. Levels of driving automation are defined in new SAE International standard J3016 (2015)

    Google Scholar 

  8. Tesla Motors, Autopilot. https://www.teslamotors.com/en_GB/blog/your-autopilot-has-arrived

  9. International Business Times: Tesla owners need to stop doing crazy things with Tesla Autopilot, says Elon Musk. http://www.ibtimes.co.uk/tesla-owners-need-stop-doing-crazy-things-autopilot-says-elon-musk-1527121 (2015)

  10. Merat, N., Jamson, A., Lai, F., Daly, M., Carsten, O.: Transition to manual: driver behaviour when resuming control from a highly automated vehicle. Transport. Res. F. Traf. 27, 274–282 (2014)

    Article  Google Scholar 

  11. Tyron, L., Merat, N., Jamson, H.: Engaging with highly automated driving: to be or not to be in the loop? Hum. Fac. Erg. Soc. P. 23–29 (2015)

    Google Scholar 

  12. Biondi, F., Turrill, J.M., Coleman, J.R., Cooper, J.M., Strayer, D.L.: Cognitive distraction impairs driver’s anticipatory glances: an on-road study. Hum. Fac. Erg. Soc. 23–29 (2015)

    Google Scholar 

  13. Biondi, F.: Advanced Driver Assistance Systems: Multimodal Warning Enhance Road Safety. Dissertation. http://paduaresearch.cab.unipd.it/7372/ (2015)

  14. Biondi, F., Rossi, R., Gastaldi, M., Mulatti, C.: Beeping ADAS: reflexive effect on drivers’ behavior. Transport. Res. F. Traf. 25, 27–33 (2014)

    Article  Google Scholar 

  15. Strayer, D.L., Watson, J.M., Drews, F.A.: Cognitive distraction while multitasking in the automobile. Psychology of Learning and Motivation-Advances in Research and Theory 54 (2011)

    Google Scholar 

  16. Meng, F., Spence, C.: Tactile warning signals for in-vehicle systems accident. Anal. Prev. 75, 333–346 (2015)

    Article  Google Scholar 

  17. Medeiros-Ward, N., Cooper, J.M., Doxon, A.J., Strayer, D.L., Provancher, W.R.: Bypassing the bottleneck: the advantage of fingertip shear feedback for navigational cues. Hum. Fac. Erg. Soc. P. 2042–2047 (2010)

    Google Scholar 

  18. Pitts, M.J., Burnett, G., Skrypchuk, L., Wellings, T., Attridge, A., Williams, M.A.: Visual–haptic feedback interaction in automotive touchscreens. Displays 33, 7–16 (2012)

    Article  Google Scholar 

  19. Lewis, B., Eisert, J., Baldwin, C.: Effect of tactile location, pulse duration, and interpulse interval on perceived urgency. Transp. Res. Rec. 2423, 10–14 (2014)

    Article  Google Scholar 

  20. Marshall, D.C., Lee, J.D., Austria, P.A.: Alerts for in-vehicle information systems: annoyance, urgency, and appropriateness. Hum. Factors 49, 145–157 (2007)

    Article  Google Scholar 

  21. Kyriakidis, M., Happee, R., De Winter, J.C.F.: Public opinion on automated driving: results of an international questionnaire among 5,000 respondents. Transport. Res. F. Traf. 32, 127–140 (2015)

    Article  Google Scholar 

  22. Lee, J.D., See, K.A.: Trust in automation: Designing for appropriate reliance. Hum. Fac. Erg. Soc. 46, 50–80 (2004)

    Article  Google Scholar 

  23. Forster, B., Cavina-Pratesi, C., Aglioti, S.M., Berlucchi, G.: Redundant target effect and intersensory facilitation from visual-tactile interactions in simple reaction time. Exp. Brain Res. 143, 480–487 (2002)

    Article  Google Scholar 

  24. Adell, E., Várhelyi, A., Hjälmdahl, M.: Auditory and haptic systems for in-car speed management—A comparative real life study. Transport. Res. F. Traf. 11, 445–458 (2008)

    Article  Google Scholar 

  25. Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M.: Brain–computer interfaces for communication and control. Clin. Neurophysiol. 113, 767–791 (2002)

    Article  Google Scholar 

  26. Vidal, J.J., Buck, M.D., Olch, R.H., Ramchandani, T.D.: Biocybernetic control in man-machine interaction: final technical report (1974)

    Google Scholar 

  27. Neuper, C., Müller, G.R., Kübler, A., Birbaumer, N., Pfurtscheller, G.: Clinical application of an EEG-based brain–computer interface: a case study in a patient with severe motor impairment. Clin. Neurophysiol. 114, 399–409 (2003)

    Article  Google Scholar 

  28. Van Erp, J.B., Lotte, F., Tangermann, M.: Brain-computer interfaces: beyond medical applications. Computer 4, 26–34 (2012)

    Article  Google Scholar 

  29. Nijholt, A.: Bos, Reuderink: turning shortcomings into challenges: brain-computer interfaces for games. Entertain. Comput. 1, 85–94 (2009)

    Article  Google Scholar 

  30. Mathan, S.: Image search at the speed of thought. ACM Interact. 15, 76–77 (2008)

    Article  Google Scholar 

  31. Spironelli, C., Angrilli, A.: Developmental aspects of language lateralization in delta, theta, alpha and beta EEG bands. Biol. Psychol. 85, 258–267 (2010)

    Article  Google Scholar 

  32. Davies, S., Skrypchuk, L.: Evaluation of an EEG/electro-dermal hybrid device to ascertain a user’s attentional state. Hum. Fac. Erg. Soc. P. (2016)

    Google Scholar 

  33. Pashler, H.: Graded capacity-sharing in dual-task interference? J. Exp. Psychol. Hum. L. 20, 330 (1994)

    Article  Google Scholar 

  34. Jaguar Land Rover: http://newsroom.jaguarlandrover.com/en-in/jlr-corp/news/2015/01/jlr_bike_sense_200115/

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Frankie Biondi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this paper

Cite this paper

Biondi, F., Skrypchuk, L. (2017). Use Your Brain (and Light) for Innovative Human-Machine Interfaces. In: Nunes, I. (eds) Advances in Human Factors and System Interactions. Advances in Intelligent Systems and Computing, vol 497. Springer, Cham. https://doi.org/10.1007/978-3-319-41956-5_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-41956-5_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41955-8

  • Online ISBN: 978-3-319-41956-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics