Skip to main content

Wellness in Cognitive Workload - A Conceptual Framework

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 775))

Abstract

Driving is a highly complex task, comprising over 1600 separate tasks over five behavioural levels. 94% of road accidents occur by human faults. Drivers simultaneously control the vehicle, adjust speed and trajectory, deal with hazards, evaluate progress towards their goal, and make strategic decisions such as navigation. Novel technologies such as active cruise control and active steering are intended as comfort systems for the driver because they are designed to relieve the driver of workload. One could go further and imagine whether cars could be created so as to get to know their user and use that knowledge to recognise the user and be more safe. A cooperative driving leads to automotive systems with impacts on mental workload. Of particular concern in this study are the twofold areas. On the one hand the personalization of the car to the user and on the other, its customization. Using the principles of cognitive ergonomics, the main purpose is to allow more features to people, whilst providing comfort and trust in the human machine interface which (1) diagnoses the driver’s state and uses additional monitoring devices (2) to provide feedback about driver´s behaviour as well as awareness and wellness.

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

Buying options

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

Learn about institutional subscriptions

References

  1. WHO: Work Health Organization (2013). http://www.who.int/en/

  2. Young, M.S., Birrell, S.A., Stanton, N.A.: Safe driving in a green world: a review of driver performance benchmarks and technologies to support ‘smart’ driving. Appl. Ergon. 42(4), 533–539 (2011)

    Article  Google Scholar 

  3. Walker, G.H., Stanton, N.A., Young, M.S.: Hierarchical task analysis of driving: a new research tool. In: Hanson, M.A. (ed.) Contemporary Ergonomics 2001, Proceedings of the Annual Conference of the Ergonomics Society, Cirencester, April 2001, pp. 435–440. Taylor and Francis, London (2001)

    Google Scholar 

  4. Costa, S., Simões, P., Costa, N., Arezes, P.: A cooperative human-machine interaction warning strategy for the semi-autonomous driving context, pp. 1–7, November 2001

    Google Scholar 

  5. Fridman, L., Toyoda, H., Seaman, S., Seppelt, B., Angell, L., Lee, J., Reimer, B.: What can be predicted from six seconds of driver glances? pp. 2805–2813 (2016)

    Google Scholar 

  6. Colombo, M.: Andy Clark, surfing uncertainty: prediction, action, and the embodied mind. Mind. Mach. 27(2), 381–385 (2017)

    Article  Google Scholar 

  7. Engström, J., Bärgman, J., Nilsson, D., Seppelt, B., Markkula, G., Piccinini, G.B., Victor, T.: Great expectations: a predictive processing account of automobile driving. Theoret. Issues Ergon. Sci. 19(2), 156–194 (2018)

    Article  Google Scholar 

  8. Coughlin, J.F., Reimer, B., Mehler, B.: Driver wellness, safety & the development of an awarecar. Mass Inst. Technol. 1–15 (2009)

    Google Scholar 

  9. Colquhoun, H.L., Levac, D., O’Brien, K.K., Straus, S., Tricco, A.C., Perrier, L., Kastner, M., Moher, D.: Scoping reviews: time for clarity in definition, methods, and reporting. J. Clin. Epidemiol. 67(12), 1291–1294 (2014)

    Article  Google Scholar 

  10. Hart, S.G.: NASA-task load index (NASA-TLX); 20 years later. In: Proceedings of the Human Factors and Ergonomics Society 50th Annual Meeting, pp. 904–908 (2006)

    Article  Google Scholar 

  11. Young, M.S., Brookhuis, K.A., Wickens, C.D., Hancock, P.A.: State of science: mental workload in ergonomics. Ergonomics 58(1), 1–17 (2015). Taylor & Francis

    Article  Google Scholar 

  12. Heine, T., Lenis, G., Reichensperger, P., Beran, T., Doessel, O., Deml, B.: Electrocardiographic features for the measurement of drivers’ mental workload. Appl. Ergon. 61, 31–43 (2017). https://doi.org/10.1016/j.apergo.2016.12.015

    Article  Google Scholar 

  13. Broadbent, D.E.: Perception and Communication. Pergamon Press, Oxford (1958)

    Book  Google Scholar 

  14. Kahneman, D.: Attention and Effort. Prentice-Hall, Englewood Cliffs (1973)

    Google Scholar 

  15. Eggemeier, F.T., Wilson, G.F., Kramer, A.F., Damos, D.L.: Workload assessment in multi-task environments. In: Damos, D.L. (ed.) Multiple Task Performance, pp. 207–216. Taylor & Francis, London (1991)

    Google Scholar 

  16. O’Donnell, R.D., Eggemeier, F.T.: Workload assessment methodology (1986)

    Google Scholar 

  17. Hancock, P.A., Desmond, P.A.: Preface. In: Hancock, P.A., Desmond, P.A. (eds.) Stress, Workload, and Fatigue, pp. 13–15. Lawrence Erlbaum Associates, Mahwah (2001)

    Google Scholar 

  18. Bellet, T., Tattegrain-Veste, H., Chapon, A., Bruyas, M.P., Pachiaudi, G., Deleurence, P., Guilhon, V.: Ingénierie cognitive dans le contexte de l’assistance à la conduite automobile. In: Boy, G. (ed.) Ingénierie cognitive. Lavoisier, Paris (2003)

    Google Scholar 

  19. SAE: Surface Vehicle Recommended Practice – J3016, SAE International, USA (2016)

    Google Scholar 

  20. Meyer, G., Deix, S.: Research and innovation for automated driving in Germany and Europe. In: Road Vehicle Automation, pp. 71–81. Springer International Publishing, Cham (2014)

    Chapter  Google Scholar 

  21. Okumura, Y.: Activities, findings and perspectives in the field of road vehicle automation in Japan. In: Road Vehicle Automation, pp. 37–46. Springer International Publishing, Cham (2014)

    Chapter  Google Scholar 

  22. Shaheen, S., Cohen, A.: Innovative Mobility Carsharing Outlook. University of California, Berkeley (2013)

    Google Scholar 

  23. Kyriakidis, M., de Winter, J.C.F., Stanton, N., Bellet, T., van Arem, B., Brookhuis, K., Martens, M.H., Bengler, K., Andersson, J., Merat, N., Reed, N., Flament, M., Hagenzieker, M., Happee, R.: A human factors perspective on automated driving. Theor. Issues Ergon. Sci. (2017). https://doi.org/10.1080/1463922X.2017.1293187

  24. Jamson, A.H., Merat, N., Carsten, O.M.J., Lai, F.C.H.: Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions. Transp. Res. Part C Emerg. Technol. 30, 116–125 (2013)

    Article  Google Scholar 

  25. Ho, D.C., Spence, P.C.: The Multisensory Driver: Implications for Ergonomic Car Interface Design. Ashgate Publishing Ltd., Farnham (2012)

    Google Scholar 

  26. Merat, N., Lee, J.D.: Preface to the special section on suman factors and automation in vehicles: designing highly automated vehicles with the driver in mind. Hum. Factors J. Hum. Factors Ergon. Soc. 54(5), 681–686 (2012). https://doi.org/10.1177/0018720812461374

  27. Meng, F., Gray, R., Ho, C., Ahtamad, M., Spence, C.: Dynamic vibrotactile signals for forward collision avoidance warning systems. Hum. Factors J. Hum. Factors Ergon. Soc. (2014). https://doi.org/10.1177/0018720814542651

    Article  Google Scholar 

  28. Biondi, F., Rossi, R., Gastaldi, M., Mulatti, C.: Beeping ADAS: reflexive effect on drivers’ behavior. Transp. Res. Part F Traffic Psychol. Behav. 25, 27–33 (2014). https://doi.org/10.1016/j.trf.2014.04.020

    Article  Google Scholar 

  29. Eby, D.W., Molnar, L.J., Zhang, L., St Louis, R.M., Zanier, N., Kostyniuk, L.P.: Keeping older adults driving safely: a research synthesis of advanced in-vehicle technologies, A LongROAD Study (2015)

    Google Scholar 

  30. Pereira, M.S.O.: In-vehicle information systems – related multiple task performance and driver behavior: comparison between different age groups. Doctoral Thesis, Universidade Técnica de Lisboa, Faculdade de Motricidade Humana, Lisboa (2009)

    Google Scholar 

  31. Ryu, J., Chun, J., Park, G., Han, S.H.: Vibro-tactile feedback for information delivery in the vehicle. IEEE Trans. Haptics 3(2), 138–149 (2010). https://doi.org/10.1109/toh.2010.1

    Article  Google Scholar 

  32. Eskandarian, A.: Fundamentals of driver assistance. In: Handbook of Intelligent Vehicles, pp. 491–535). Springer, London (2012)

    Chapter  Google Scholar 

  33. De Waard, D.: The Measurement of Drivers’ Mental Workload. Groningen University, Traffic Research Center, Netherlands (1996)

    Google Scholar 

  34. Tivesten, E., Dozza, M.: Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving. Transp. Res. Part F: Traffic Psychol. Behav. 26, 258–272 (2014)

    Article  Google Scholar 

  35. He, J., Becic, E., Lee, Y.C., McCarley, J.S.: Mind wandering behind the wheel performance and oculomotor correlates. Hum. Factors: J. Hum. Factors Ergon. Soc. 53(1), 13–21 (2011)

    Article  Google Scholar 

  36. Ratwani, R.M., McCurry, J.M., Trafton, J.G.: Single operator, multiple robots: an eye movement based theoretic model of operator situation awareness. In: Proceedings of the 5th ACM/IEEE International Conference on Human-Robot Interaction, pp. 235–242. IEEE Press (2010)

    Google Scholar 

  37. Wang, Y., Reimer, B., Dobres, J., Mehler, B.: The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand. Transp. Res. Part F: Traffic Psychol. Behav. 26, 227–237 (2014)

    Article  Google Scholar 

  38. Di Nocera, F., Camilli, M., Terenzi, M.: Using the distribution of eye fixations to assess pilots’ mental workload. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 50, no. 1, pp. 63–65. Sage Publications, Los Angeles, October 2006

    Article  Google Scholar 

  39. Son, J., Lee, Y., Kim, M.H.: Impact of traffic environment and cognitive workload on older drivers’ behavior in simulated driving. Int. J. Precis. Eng. Manuf. 12(1), 135–141 (2011)

    Article  Google Scholar 

  40. Planing, P.: Innovation Acceptance: The Case of Advanced Driver-Assistance Systems. Springer Science & Business Media, Heidelberg (2014)

    Book  Google Scholar 

  41. Kompass, K., Huber, W., Helmer, T.: Safety and comfort systems: introduction and overview. In: Handbook of Intelligent Vehicles, pp. 605–612. Springer, London (2012)

    Chapter  Google Scholar 

  42. Bishop, R.: Intelligent vehicle technology and trends (2005)

    Google Scholar 

  43. Dix, A., Finlay, J., Abowd, G., Beale, R.: Universal design. Human-computer interaction, pp. 365–394. Springer, US (2004)

    Google Scholar 

  44. Milakis, D., Snelder, M., van Arem, B., van Wee, B., de Almeida Correia, G.H.: Development and transport implications of automated vehicles in the Netherlands: scenarios for 2030 and 2050. EJTIR 17(1), 63–85 (2017)

    Google Scholar 

  45. Gold, C., Körber, M., Hohenberger, C., Lechner, D., Bengler, K.: Trust in automation – before and after the experience of take-over scenarios in a highly automated vehicle. Procedia Manuf. 3, 3025–3032 (2015)

    Article  Google Scholar 

  46. Mouloua, M., Al-Awar Smither, J., Vincenzi, D.A., Smith, L.: Automation and aging: issues and considerations. In: Advances in Human Performance and Cognitive Engineering Research, pp. 213–237. Emerald Group Publishing Limited, Bingley (2002)

    Chapter  Google Scholar 

Download references

Acknowledgments

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013 and by the European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) Project nº 002797; Funding Reference: POCI-01-0247-FEDER-002797.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eduarda Pereira .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pereira, E., Costa, S., Costa, N., Arezes, P. (2019). Wellness in Cognitive Workload - A Conceptual Framework. In: Ayaz, H., Mazur, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 775. Springer, Cham. https://doi.org/10.1007/978-3-319-94866-9_36

Download citation

Publish with us

Policies and ethics