Skip to main content

Naturalistic analysis of tourist pedestrians’ spatial cognition

  • Conference paper
  • First Online:
Advances in Tourism, Technology and Smart Systems

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 171))

  • 1890 Accesses

Abstract

Urban pedestrians are the most vulnerable road users worldwide. The cause of pedestrian accidents is mainly attributed to human error, mental workload and situation awareness. Tourists belong to a special category of pedestrians that exhibit different behavior due to unfamiliarity with the environment, or the road traffic rules. Eye tracking technology has emerged as a popular method for addressing problems in pedestrian spatial cognition and decision making. However, most eye tracking studies, use stationary technology under a set of assumptions. These methods may miss out important properties that relate to environmental dynamics that cannot be accurately simulated in controlled settings, such as perception of environmental information in accordance to body movements and orientation. This work presents a naturalistic approach to pedestrian behavior analysis using mobile eye tracking technology. The paper present preliminary results and emphasizes on pedestrian workload estimation through pupil dilation and gaze analysis in 2 scenarios: road intersection under 2 different lighting conditions (night/day). Two categories of pedestrians are considered: tourists and resident users, to identify differences in workload levels and visual search behaviors among them under the effect of different lighting conditions. The paper presents an exploratory study with preliminary results.

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 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. WHO (2013) Pedestrian safety

    Google Scholar 

  2. Kaplan (1995) The restorative benefits of nature: towards an integrative framework. Journal of Environmental Psychology 15:169–182

    Article  Google Scholar 

  3. Taylor, A.F., Kuo, F.E., Sullivan, W.C.: Views of nature and self-discipline: evidence from inner city children. Journal of Environmental Psychology 22, 49–63 (2002)

    Article  Google Scholar 

  4. Sun, R., Zhuang, X., Wu, C., Zhao, G., Zhang, K.: The estimation of vehicle speed and stopping distance by pedestrians crossing streets in a naturalistic traffic environ-ment. Transportation Research Part F 30, 97–106 (2015)

    Article  Google Scholar 

  5. Giannopoulos I, Kiefer P, Raubal M (2015) GazeNav: Gaze-Based Pedestrian Navigation. In: 17th International HCI with Mobile Devices & Services

    Google Scholar 

  6. EU (2004) Scope and patterns of tourist accidents in the European Union. Final Re-port, EU Injury Prevention Programme, Austrian Institute for Safety and Prevention

    Google Scholar 

  7. FCO (2008) Britons driving into trouble abroad. UK citizens and road accidents abroad

    Google Scholar 

  8. Wu M-Y (2015) Driving an unfamiliar vehicle in an unfamiliar country: exploring Chinese recreational vehicle tourists’ safety concerns and coping techniques. Austral-ia Journal of Travel Research 54(6)

    Article  Google Scholar 

  9. Wickens CD (2005) Attentional tunneling and task management. In: International symposium on aviation psychology

    Google Scholar 

  10. Trick, L., Enns, J., Mills, J., Vavrik, J.: Paying attention behind the wheel: A framework for studying the role of attention in driving. Theoretical Issues in Ergonomics Science 5(5), 385–424 (2004)

    Article  Google Scholar 

  11. Koo, T.-Y., Park, K.-J., Kim, B.-Y., Kim, H.-J., Suh, M.-W.: A study on driver’s work-load of telematics using a driving simulator: a comparison among information modalities. Int J Precis Eng Manuf 10(3), 59–63 (2009)

    Article  Google Scholar 

  12. Regan MA, Mitsopoulos E (2001) Understanding passenger influences on driver behaviour: implications for road safety and recommendations for countermeasure development. Report, Monash University Accident Centre, Clayton, Victoria

    Google Scholar 

  13. De Waard D (1996) The measurement of drivers’ mental workload. Ph.D. thesis University of Groningen, Haren, The Netherlands. Traffic Research Centre

    Google Scholar 

  14. Wallace B (2003) Driver distraction by advertising: genuine risk or urban myth? In: Municipal Engineer 156(3). Institution of Civil Engineers, London: pp 185–190

    Google Scholar 

  15. Ciceri, M., Ruscio, D.: Does driving experience in video games count? Hazard anticipation and visual exploration of male gamers as function of driving experience. Transportation Research Part F: Traffic Psychology and Behaviour 22, 76–85 (2014)

    Article  Google Scholar 

  16. Fotios S, Uttley J, Cheal C, Hara N (2015) Using eye-tracking to identify pedestrians’ critical visual tasks, Part 1. Dual task approach. Lighting research & technology 47(2):133–148

    Google Scholar 

  17. Schwarzkopf S, Von Stülpnagel R, Büchner SJ, Konieczny L, Kallert G, Hölscher C (2013) What lab eye tracking tells us about wayfinding a comparison of stationary and mobile eye tracking in a large building scenario. In: 1st international workshop on eye tracking for spatial research

    Google Scholar 

  18. Kiefer P, Straub F, Raubal M (2012) Location-aware mobile eye tracking for the explanation of wayfinding behavior. In: AGILE

    Google Scholar 

  19. Kitazawa, K., Fujiyama, T.: Pedestrian vision and collision avoidance behaviour: investigation of the information process space of pedestrians using an eye tracker. In: Klingsch, W.W.F., Rogsch, C., Schadschneider, A., Schreckenberg, M. (eds.) Pedestrian and Evacuation Dynamics 2008, pp. 95–108. Springer, London (2008)

    Google Scholar 

  20. Fotios S, Uttley J, Hara N (2013) Critical pedestrian tasks: using eye-tracking within a dual task paradigm. In: CIE centenary conference: pp 234–240

    Google Scholar 

  21. Gregoriades A, Pampaka M (2018) Evaluating a custom-made agent-based driving simulator. In: ATT@IJCAI 2018: pp 15–23

    Google Scholar 

  22. Rebecca, L.C., Nixon, J.: Measuring mental workload using physiological measures: a systematic review. Applied Ergonomics 74, 221–232 (2019)

    Article  Google Scholar 

  23. Goldinger, S.D., Papesh, M.H.: Pupil dilation reflects the creation and retrieval of memories. Current directions in psychological science 21, 90–95 (2012)

    Article  Google Scholar 

  24. Hess, E.H., Polt, J.M.: Pupil size in relation to mental activity during simple problem solving. Science 143, 1190–1192 (1964)

    Article  Google Scholar 

  25. Van Gerven, P.W.M., Paas, F., Van Merrienboer, J.J.G., Schmidt, H.G.: Memory load and the cognitive pupillary response in aging. Psychophysiology 41, 167–174 (2004)

    Article  Google Scholar 

  26. Kahneman, D.: Attention and effort. Prentice Hall, Upper Saddle River (1973)

    Google Scholar 

  27. Fehrenbacher, D., Djamasbi, S.: Information systems and task demand: an exploratory, pupillometry study of computerized decision making. Decision support systems 97, 1–11 (2017)

    Article  Google Scholar 

  28. Perez W, Bertola MA (2011) The effect of visual clutter on driver eye glance behavior. In: 6th international symposium on human factors in driver assessment, training and vehicle design: pp 180–186

    Google Scholar 

  29. Crundall, D., Van Loon, E., Underwood, G.: Attraction and distraction of attention with roadside advertisements. Accid. Anal. Prev. 38(4), 671–677 (2006)

    Article  Google Scholar 

  30. Bai, J., Perron, P.: Computation and analysis of multiple structural change mod-els. Journal of applied econometrics 18, 1–22 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andreas Gregoriades .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gregoriades, A., Dimitriou, L. (2020). Naturalistic analysis of tourist pedestrians’ spatial cognition. In: Rocha, Á., Abreu, A., de Carvalho, J., Liberato, D., González, E., Liberato, P. (eds) Advances in Tourism, Technology and Smart Systems. Smart Innovation, Systems and Technologies, vol 171. Springer, Singapore. https://doi.org/10.1007/978-981-15-2024-2_1

Download citation

Publish with us

Policies and ethics