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Abstract

Background

Wayfinding has been adopted in several intense evacuation and navigation simulations; however, the use of biometric measurements for characterizing physiological outcomes has been somewhat overlooked and applied only under limited laboratory conditions.

Methods

Twenty-four participants took part in a virtual reality (VR) experiment using a wayfinding installation with the Oculus Rift S head-mounted display (HMD). They were immersed in a simulation of a burning underground parking lot and tasked to navigate to the exit. The purpose of this research was to investigate the high-level effect of wayfinding assistive lights on behavioral, physiological, and psychological outcomes. Participants were split into two groups: the control group was exposed to a scene without assistive lights, and the experimental group was exposed to the same scene with assistive lights.

Results

Results indicate there was no statistically significant difference between the groups in traveled distance, pauses, turns, or game completion time. Curiously, differences between the two groups in heart rate (HR) outcomes were found to be statistically significant, with subjects in the control group displaying an increasing HR trend during simulation.

Conclusions

This finding, in accordance with previous studies that have shown the efficacy of landmarks and wayfinding affordances in reducing cognitive demands, suggests that assistive lights might contribute to improved brain wiring connectivity during the game. We discuss these findings in the context of a rich wayfinding affordances literature.

Keywords

affordances assistive lights evacuation and navigation simulations heart rate (HR)Polar A370 underground parking wayfinding

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References

Alavesa

Pakanen

Niemelä

Huang

Väinämö

Haukipuro

Arhippainen

Ojala

(2018). Mobile augmented reality client as a UX method for living lab’s user involvement tool. In 22nd International Academic Mindtrek Conference (pp. 135–142). ACM. https://doi.org/10.1145/3275116.3275147

Arias

La Mendola

Wahlqvist

Rios

Nilsson

Ronchi

(2019). Virtual reality evacuation experiments on way-finding systems for the future circular collider. Fire Technology, 55(6), 2319–2340. https://doi.org/10.1007/s10694-019-00868-y

Bai

Welk

G. J.

Nam

Y. H.

Lee

J. A.

Lee

J. M.

Kim

Meier

N. F.

Dixon

P. M.

(2016). Comparison of consumer and research monitors under semistructured settings. Medicine & Science in Sports & Exercise, 48(1), 151–158. https://doi.org/10.1249/mss.0000000000000727

Bonner

M. F.

Epstein

R. A.

(2017). Coding of navigational affordances in the human visual system. Proceedings of the National Academy of Sciences, 114(18), 4793–4798. https://doi.org/10.1073/pnas.1618228114

Brooke

S. M.

H. S.

Kang

S. K.

Noble

J. M.

Berg

K. E.

Lee

J. M.

(2017). Concurrent validity of wearable activity trackers under free-living conditions. Journal of Strength and Conditioning Research, 31(4), 1097–1106. https://doi.org/10.1519/jsc.0000000000001571

Chittaro

Buttussi

(2015). Assessing knowledge retention of an immersive serious game vs. a traditional education method in aviation safety. IEEE Transactions on Visualization and Computer Graphics, 21(4), 529–538. https://doi.org/10.1109/tvcg.2015.2391853

Cho

Ham

Park

Kim

Lee

N.-K.

Lee

(2017). Detection of stress levels from biosignals measured in virtual reality environments using a kernel-based extreme learning machine. Sensors, 17(10), Article 2435. https://doi.org/10.3390/s17102435

Christopher

(2014). Port security management (2nd ed.). CRC Press; Taylor Francis.

Cobb

S. V.

Nichols

Ramsey

Wilson

J. R.

(1999). Virtual reality-induced symptoms and effects (VRISE). Presence: Teleoperators & Virtual Environments, 8(2), 169–186. https://doi.org/10.1162/105474699566152

10.

Cosma

Ronchi

Nilsson

(2016). Way-finding lighting systems for rail tunnel evacuation: A virtual reality experiment with Oculus Rift®. Journal of Transportation Safety & Security, 8, 101–117. https://doi.org/10.1080/19439962.2015.1046621

11.

Dondlinger

M. J.

Lunce

L. M.

(2009). Wayfinding affordances are essential for effective use of virtual environments for instructional applications. MERLOT Journal of Online Learning and Teaching, 5(3), 562–569.

12.

Ehrenwald

Wasserman

Shenhar-Tsarfaty

Zeltser

Friedensohn

Shapira

Rogowski

(2019). Exercise capacity and body mass index-important predictors of change in resting heart rate. BMC Cardiovascular Disorders, 19(1), 1–8. https://doi.org/10.1186/s12872-019-01286-2

13.

Feehan

L. M.

Geldman

Sayre

E. C.

Park

Ezzat

A. M.

Yoo

J. Y.

Hamilton

C. B.

L. C.

(2018). Accuracy of Fitbit devices: Systematic review and narrative syntheses of quantitative data. JMIR mHealth and uHealth, 6, Article e10527. https://doi.org/10.2196/10527

14.

Feng

Vicente

González

R. A.

Lovreglio

Cabrera-Guerrero

(2018). Immersive virtual reality serious games for evacuation training and research: A Systematic literature review. Computers & Education, 127, 252–266. https://doi.org/10.1016/j.compedu.2018.09.002

15.

Florea

Alavesa

Arhippainen

Pouke

Huang

Haukipuro

Väinämö

Niemelä

Cortés Orduña

Pakanen

Ojala

(2019). Extending a user involvement tool with virtual and augmented reality. IEEE Virtual Reality, IEEE VR. https://doi.org/10.1109/VR.2019.8798299

16.

Föhr

Pietilä

Helander

Myllymäki

Lindholm

Rusko

Kujala

U. M.

(2016). Physical activity, body mass index and heart rate variability-based stress and recovery in 16 275 Finnish employees: A cross-sectional study. BMC Public Health, 16, Article 701. https://doi.org/10.1186/s12889-016-3391-4

17.

Fokkema

Kooiman

T. J.

Krijnen

W. P.

van der Schans

C. P.

de Groot

(2017). Reliability and validity of ten consumer activity trackers depend on walking speed. Medicine & Science in Sports & Exercise, 49(4), 793–800. https://doi.org/10.1249/mss.0000000000001146

18.

Gibson

J. J.

(1977). The theory of affordances. In Shaw

R. E.

Bransford

(Eds.), Perceiving, acting, and knowing (pp. 67–83). Lawrence Erlbaum.

19.

Gibson

J. J.

(2015). The ecological approach to visual perception. Psychology Press. https://doi.org/10.4324/9781315740218

20.

Giles

Draper

Neil

(2016). Validity of the Polar V800 heart rate monitor to measure RR intervals at rest. European Journal of Applied Physiology, 116(3), 563–571. https://doi.org/10.1007/s00421-015-3303-9

21.

Head

Isom

(2010). Age effects on wayfinding and route learning skills. Behavioural Brain Research, 209(1), 49–58. https://doi.org/10.1016/j.bbr.2010.01.012

22.

Henriksen

Haugen

M. M.

Woldaregay

A. Z.

Muzny

Hartvigsen

Hopstock

L. A.

Grimsgaard

(2018). Using fitness trackers and smartwatches to measure physical activity in research: Analysis of consumer wrist-worn wearables. Journal of Medical Internet Research, 20(3), Article e110. https://doi.org/10.2196/jmir.9157

23.

Hernández-Vicente

Santos-Lozano

De Cocker

Garatachea

(2016). Validation study of Polar V800 accelerometer. Annals of Translational Medicine, 4(15), Article 278. https://doi.org/10.21037/atm.2016.07.16

24.

Hidalgo-Muñoz

A. R.

Béquet

A. J.

Astier-Juvenon

Pépin

Fort

Jallais

Tattegrain

Gabaude

(2019). Respiration and heart rate modulation due to competing cognitive tasks while driving. Frontiers in Human Neuroscience, 12, Article 525. https://doi.org/10.3389/fnhum.2018.00525

25.

Hidayetoglu

M. L.

Yildirim

Akalin

(2012). The effects of color and light on indoor wayfinding and the evaluation of the perceived environment. Journal of Environmental Psychology, 32(1), 50–58. https://doi.org/10.1016/j.jenvp.2011.09.001

26.

Holmes

S. R.

Griffin

M. J.

(2001). Correlation between heart rate and the severity of motion sickness caused by optokinetic stimulation. Journal of Psychophysiology, 15(1), 35–42. https://doi.org/10.1027//0269-8803.15.1.35

27.

IJsselsteijn

W. A.

De Kort

Y. A. W.

Poels

(2013). The Game Experience Questionnaire. Technische Universiteit Eindhoven.

28.

Lewis

Directo

Kim

M. J.

Dolezal

B. A.

(2016). Validation of biofeedback wearables for photoplethysmographic heart rate tracking. Journal of Sports Science and Medicine, 15(3), 540–547.

29.

Johnson

Gardner

Perry

(2018). Validation of two game experience scales: The Player Experience of Need Satisfaction (PENS) and Game Experience Questionnaire (GEQ). International Journal of Human-Computer Studies, 118, 38–46. https://doi.org/10.1016/j.ijhcs.2018.05.003

30.

Kober

S. E.

Neuper

(2011). Sex differences in human EEG theta oscillations during spatial navigation in virtual reality. International Journal of Psychophysiology, 79(3), 347–355. https://doi.org/10.1016/j.ijpsycho.2010.12.002

31.

Kostakos

(2020). https://github.com/PanosKostakos/VR_BPM

32.

Kostakos

Alavesa

Oppenlaender

Hosio

(2019). VR ethnography: A pilot study on the use of virtual reality “go-along” interviews in Google street view. In Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia (MUM ’19) (pp. 1–5). ACM. https://doi.org/10.1145/3365610.3368422

33.

Law

E. L.-C.

Brühlmann

Mekler

E. D.

(2018). Systematic review and validation of the Game Experience Questionnaire (GEQ)—Implications for citation and reporting practice. In Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play (pp. 257–270). https://doi.org/10.1145/3242671.3242683

34.

Lynch

(1960). The image of the city. MIT/Harvard University Press.

35.

May

(2004). Wayfinding, ships and augmented reality. In: Andersen

Qvortrup

(Eds.), Virtual applications (pp. 212–233). Springer. https://doi.org/10.1007/978-1-4471-3746-7_10

36.

Meng

Zhang

(2014). Way-finding during a fire emergency: An experimental study in a virtual environment. Ergonomics, 57(6), 816–827. https://doi.org/10.1080/00140139.2014.904006

37.

Mercer

Giangregorio

Burns

Grindrod

(2016). Behavior change techniques present in wearable activity trackers: A critical analysis. JMIR mHealth and uHealth, 4(2), Article e40. https://doi.org/10.2196/mhealth.4461

38.

Müller

A. M.

Wang

N. X.

Yao

Tan

C. S.

Low

Lim

Tan

Müller-Riemenschneider

(2019). Heart rate measures from wrist-worn activity trackers in a laboratory and free-living setting: Validation study. JMIR mHealth and uHealth, 7(10), Article e14120. https://doi.org/10.2196/14120

39.

Norman

(2013). The design of everyday things: Revised and expanded edition. Basic Books.

40.

Oculus. (2020). https://www.oculus.com/rift-s/

41.

Pakanen

Lovén

Alavesa

Gilman

Terken

Eggen

Pirttikangas

(2018). Design challenges of wellbeing supporting smart environment in collaborative use situations. In UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers (pp. 688–692). https://doi.org/10.1145/3267305.3267691

42.

Poels

de Kort

Y. A. W.

IJsselsteijn

W. A.

(2007). D3.3: Game Experience Questionnaire: Development of a self-report measure to assess the psychological impact of digital games. Technische Universiteit Eindhoven.

43.

Polar. (2020). Polar A370 Fitness tracker with heart rate monitoring. https://www.polar.com/en/products/sport/A370-fitness-tracker

44.

PRINCE. (2020). PRINCE project funded by the European Union’s Internal Security Fund - Police grant (Grant 815362). https://www.isfp-prince.eu/

45.

Radianti

Majchrzak

T. A.

Fromm

Wohlgenannt

(2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, Article 103778. https://doi.org/10.1016/j.compedu.2019.103778

46.

Rey

Parkhutik

Alcañiz

(2011). Breaks in presence in virtual environments: An analysis of blood flow velocity responses. Presence, 20(3), 273–286. https://doi.org/10.1162/pres_a_00049

47.

Ronchi

Mayorga

Lovreglio

Wahlqvist

Nilsson

(2019). Mobile-powered head-mounted displays versus cave automatic virtual environment experiments for evacuation research. Computer Animation & Virtual Worlds, 30(6), Article e1873. https://doi.org/10.1002/cav.1873

48.

Ronchi

Nilsson

Kojić

Eriksson

Lovreglio

Modig

Walter

A. L.

(2016). A virtual reality experiment on flashing lights at emergency exit portals for road tunnel evacuation. Fire Technology, 52, 623–647. https://doi.org/10.1007/s10694-015-0462-5

49.

Ruddle

R. A.

Lessels

(2006). Three levels of metric for evaluating wayfinding. Presence: Virtual and Augmented Reality, 15(6), 637–654. https://doi.org/10.1162/pres.15.6.637

50.

Sandstrom

N. J.

Kaufman

Huettel

S. A.

(1998). Males and females use different distal cues in a virtual environment navigation task. Cognitive Brain Research, 6(4), 351–360. https://doi.org/10.1016/S0926-6410(98)00002-0

51.

Sharma

Yash

Sushil

Vijander

Alok

M. P.

Varun

(2017). Influence of landmarks on wayfinding and brain connectivity in immersive virtual reality environment. Frontiers in Psychology, 8, Article 1220. https://doi.org/10.3389/fpsyg.2017.01220

52.

Stahl

S. E.

H. S.

Dinkel

D. M.

Noble

J. M.

Lee

J. M.

(2016). How accurate are the wrist-based heart rate monitors during walking and running activities? Are they accurate enough? BMJ Open Sport & Exercise Medicine, 2(1), 1–7. https://doi.org/10.1136/bmjsem-2015-000106

53.

Anthony

(2019). Reassessing CBRN threats in a changing global environment. Stockholm International Peace Research Institute. https://www.sipri.org/sites/default/files/2019-06/1906_cbrn_threats_su_anthony_0.pdf

54.

Tang

C.-H.

W.-T.

Lin

C.-Y.

(2009). Using virtual reality to determine how emergency signs facilitate way-finding. Applied Ergonomics, 40(4), 722–730. https://doi.org/10.1016/j.apergo.2008.06.009

55.

Terbizan

D. J.

Dolezal

B. A.

Albano

(2002). Validity of seven commercially available heart rate monitors. Measurement in Physical Education and Exercise Science, 6, 4243–4247. https://doi.org/10.1207/S15327841MPEE0604_3

56.

Trend. (2020). R package ‘trend’. https://cran.r-project.org/web/packages/trend/trend.pdf

57.

Tucker

Marsh

K. L.

Gifford

Luh

P. B.

Astur

R. S.

(2018). The effects of information and hazard on evacuee behavior in virtual reality. Fire Safety Journal, 99, 1–11. https://doi.org/10.1016/j.firesaf.2018.04.011

58.

Unity. (2020). https://unity.com/

59.

Unity API. (2019). Unity scripting reference documentation (Version 2019.3). https://docs.unity3d.com/ScriptReference/

60.

van Buuren

Wijnmalen

D. J.

(2015). Measuring psychosocial impact of CBRN incidents by the Rasch model. Journal of Applied Measurement, 16(3), 1–9.

61.

Vilar

Rebelo

Noriega

(2014). Indoor human wayfinding performance using vertical and horizontal signage in virtual reality. Human Factors and Ergonomics in Manufacturing & Service Industries, 24(6), 601–615. https://doi.org/10.1002/hfm.20503

62.

W3C RQTF. (2020). Virtual reality and accessibility references by the Research Questions Accessibility Task Force (RQTF). https://www.w3.org/WAI/APA/task-forces/research-questions/wiki/Virtual_Reality_and_Accessibility_References

63.

Wang

Blackburn

Desai

Phelan

Gillinov

Houghtaling

Gillinov

(2017). Accuracy of wrist-worn heart rate monitors. JAMA Cardiology, 2(1), 104–106. https://doi.org/10.1001/jamacardio.2016.3340

64.

Williams-Bell

F. M.

Kapralos

Hogue

Murphy

B. M.

Weckman

E. J.

(2015). Using serious games and virtual simulation for training in the fire service: A review. Fire Technology, 51(3), 553–584. https://doi.org/10.1007/s10694-014-0398-1

65.

Zhao

C. M.

S. M.

Zhang

S. P.

Liu

(2009). A post-fire survey on the pre-evacuation human behavior. Fire Technology, 45(1), Article 71. https://doi.org/10.1007/s10694-007-0040-6

Wired to Exit: Exploring the Effects of Wayfinding Affordances in Underground Facilities Using Virtual Reality

Abstract

Background

Methods

Results

Conclusions

Keywords

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