research-article

"Vection field" for pedestrian traffic control

Authors:

Masahiro Furukawa,

Hiromi Yoshikawa,

Shogo Fukushima,

Hiroyuki KajimotoAuthors Info & Claims

AH '11: Proceedings of the 2nd Augmented Human International Conference

Article No.: 19, Pages 1 - 8

https://doi.org/10.1145/1959826.1959845

Published: 13 March 2011 Publication History

Abstract

Visual signs and audio cues are commonly used for pedestrian control in the field of general traffic research. Because pedestrians need to first acquire and then recognize such cues, time delays invariably occur between cognition and action. To better cope with this issue of delays, wearable devices have been proposed to control pedestrians more intuitively. However, the attaching and removing of the devices can be cumbersome and impractical. In this study, we propose a new visual navigation method for pedestrians using a "Vection Field" in which the optical flow is presented on the ground. The optical flow is presented using a lenticular lens, a passive optical element that generates a visual stimulus based on a pedestrian's movement without an electrical power supply. In this paper we present a design for the fundamental visual stimulus and evaluate the principle of our proposed method for directional navigation. Results revealed that the optical-flow of a stripe and random-dot pattern displaced pedestrian pathways significantly, and that implementation with a lenticular lens is feasible.

References

[1]

Arikawa, M., Konomi, S. and Ohnishi, K. 2007. NAVITIME: Supporting Pedestrian Navigation in the Real World Arikawa, Pervasive Computing, IEEE, Vol. 6 Issue. 3, 21--29.

Digital Library

[2]

Strachan, S., Eslambolchilar, P., Murray-Smith, R., Hughes, S. and O'Modhrain, S. 2005. GpsTunes: controlling navigation via audio feedback. In Proceedings of the 7th international conference on Human computer interaction with mobile devices & services (MobileHCI '05), 275--278.

Digital Library

[3]

Tsukada, K. and Yasumura, M. 2004. ActiveBelt: Belt-Type Wearable Tactile Display for Directional Navigation, UBICOMP 2004: UBIQUITOUS COMPUTING, Lecture Notes in Computer Science, Volume 3205/2004, 384--399.

[4]

Nakamura, N. and Fukui, Y. 2003. Development of Human Navigation System "HapticNavi" using GyroCube, XVth Triennial Congress of the International Ergonomics Association 2003, 352--355

[5]

Gleeson, B., Horschel, S. and Provancher, W. 2009. Communication of Direction through Lateral Skin Stretch at the Fingertip, Proc. 2009 World Haptics Conf., 172--177.

Digital Library

[6]

Amemiya, T., Ando, H. and Maeda, T. 2008. Lead-me interface for a pulling sensation from hand-held devices. ACM Trans. Appl. Percept. 5, 3, Article 15, 1--17. http://doi.acm.org/10.1145/1402236.1402239

Digital Library

[7]

Maeda, T., Ando, H. Amemiya, T., Nagaya, N., Sugimoto, M. and Inami, M. 2005. Shaking the world: galvanic vestibular stimulation as a novel sensation interface. In ACM SIGGRAPH 2005 Emerging technologies (SIGGRAPH '05), Donna Cox (Ed.). Article 17. http://doi.acm.org/10.1145/1187297.1187315

Digital Library

[8]

Maeda, T., Ando, H. and Sugimoto, M. 2005. Virtual acceleration with galvanic vestibular stimulation in a virtual reality environment, Virtual Reality, 2005. Proceedings. VR 2005. IEEE, 289--290.

[9]

Kojima, Y., Hashimoto, Y., Fukushima, S., and Kajimoto, H. 2009. Pull-navi: a novel tactile navigation interface by pulling the ears. In ACM SIGGRAPH 2009 Emerging Technologies (SIGGRAPH '09). Article 19, 1 pages. http://doi.acm.org/10.1145/1597956.1597975

Digital Library

[10]

Carsten, O.M.J., Sherborne, D.J. and Rothengatter, J.A. 1998. Intelligent traffic signals for pedestrians: evaluation of trials in three countries, Transportation Research Part C: Emerging Technologies, Volume 6, Issue 4, 213--229.

[11]

Loscos, C., Marchal, D. and Meyer, A. 2003. Intuitive crowd behavior in dense urban environments using local laws, Theory and Practice of Computer Graphics, Proceedings 122--129.

[12]

Gibson, J. 1954. The visual perception of objective motion and subjective movement. Psychol. Rev. 61, 304--314.

[13]

Lishman, J. R. and Lee, D. N. 1973. The autonomy of visual kinaesthesis, Perception, vol. 2(3), 287--294.

[14]

Yoshikawa, H., Hachisu, T., Fukushima, S., Furukawa, M. and Kajimoto, H. 2010 "Vection Field" for Pedestrian Traffic Control, Proceedings of VRSJ the 15th Annual Conference, 14--17

[15]

William, H., Warren, Jr., Kay, B. A., Zosh, W. D., Duchon, A. P. and Sahu, S. 2001. Optic flow is used to control human walking, Nature Neuroscience 4, 213--216.

[16]

Trutoiu, L. C., Mohler, B. J., Schulte-Pelkum, J. and Bülthoff, H. H. 2009. Circular, linear, and curvilinear vection in a large-screen virtual environment with floor projection, Computers & Graphics 33, 47--58.

Digital Library

[17]

Sato T., Seno T., Kanaya, H. & Fukazawa, H. 2007. The ground is more effective than the sky- The comparison of the ground and the sky in effectiveness for vection, Proceedings of ASIAGRAPH 2007 in Shanghai, 103--108.

[18]

Lestienne, F., Soechting J. and Berthoz, A., Postural readjustments induced by linear motion of visual scenes, 1977, EXPERIMENTAL BRAIN RESEARCH, Volume 28, Numbers 3--4, 363--384.

[19]

Son, J.Y., Saveljev, V. V., Choi, Y.J., Bahn, J.E., Kim, S.K. and Choi., H. 2003. Parameters for designing autostereoscopic imaging systems based on lenticular, parallax barrier, and integral photography plates, Opt. Eng., vol. 42, 3326--3333.

[20]

Stern, A. and Javidi, B. 2006. Three-Dimensional Image Sensing, Visualization, and Processing Using Integral Imaging, Proceedings of the IEEE, Volume: 94 Issue:3, 591--607.

[21]

Vose, T.H., Umbanhowar, P. and Lynch, K.M. 2007. Vibration-Induced Frictional Force Fields on a Rigid Plate, IEEE International Conference on Robotics and Automation, 2007, 660--667.

[22]

Frey, M. 2007. CabBoots: shoes with integrated guidance system. In Proceedings of the 1st international conference on Tangible and embedded interaction (TEI '07). 245--246. http://doi.acm.org/10.1145/1226969.1227019

Digital Library

[23]

Luz, A. 2006. weaving pavements and other urban punctuations at interstitial landscapes, The Bartlett School of Architecture, University College London

[24]

Lepecq, J. C., Waele, C. D., Mertz-Josse, S., Teyssèdre, C., Huy, P. T. B., Baudonnière P.M. and Vidal. P. P. 2005. Galvanic Vestibular Stimulation Modifies Vection Paths in Healthy Subjects, AJP - JN Physiol, vol. 95, no. 5, 3199--3207.

[25]

Johnson, R. B. and Jacobsen, G. A. 2005. Advances in lenticular lens arrays for visual display, Proc. SPIE 5874, 587406.

[26]

Kitaoka, A. 2007. Tilt illusions after Oyama. 1960. A review. Japanese Psychological Research, 49, 7--19.

Cited By

Feliciani CTanida SFurukawa MMurakami HJia XBrščić DNishinari K(2024)“Nudging” Crowds: When It Works, When It Doesn’t and WhyTraffic and Granular Flow '2210.1007/978-981-99-7976-9_2(11-18)Online publication date: 26-May-2024
https://doi.org/10.1007/978-981-99-7976-9_2
Isoyama NSakuragi YTerada TTsukamoto M(2021)Effects of Augmented Reality Object and Texture Presentation on Walking BehaviorElectronics10.3390/electronics1006070210:6(702)Online publication date: 17-Mar-2021
https://doi.org/10.3390/electronics10060702
Croucher CPowell WDicks MStevens BPowell V(2021)The Use of Embedded Context-Sensitive Attractors for Clinical Walking Test Guidance in Virtual RealityFrontiers in Virtual Reality10.3389/frvir.2021.6219652Online publication date: 29-Apr-2021
https://doi.org/10.3389/frvir.2021.621965
Show More Cited By

Index Terms

"Vection field" for pedestrian traffic control
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design
    2. Interaction design theory, concepts and paradigms

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Published In

cover image ACM Other conferences

AH '11: Proceedings of the 2nd Augmented Human International Conference

March 2011

169 pages

ISBN:9781450304269

DOI:10.1145/1959826

General Chairs:
Masahiko Inami
Keio Media Design, Japan
,
Jun Rekimoto
The University of Tokyo and Sony CSL, Japan
,
Program Chairs:
Hideki Koike
University of Electro-Communications Tokyo, Japan
,
Hideo Saito
Keio University, Japan

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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QPC: QderoPateo Communications
Koozyt: Koozyt, Inc.
Sony CSL: Sony Computer Science Laboratories
Microsoft Research Asia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 March 2011

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AH '11

Sponsor:

QPC
Koozyt
Sony CSL

AH '11: 2011 2nd Augmented Human International Conference

March 13, 2011

Tokyo, Japan

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Overall Acceptance Rate 121 of 306 submissions, 40%

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Cited By

Feliciani CTanida SFurukawa MMurakami HJia XBrščić DNishinari K(2024)“Nudging” Crowds: When It Works, When It Doesn’t and WhyTraffic and Granular Flow '2210.1007/978-981-99-7976-9_2(11-18)Online publication date: 26-May-2024
https://doi.org/10.1007/978-981-99-7976-9_2
Isoyama NSakuragi YTerada TTsukamoto M(2021)Effects of Augmented Reality Object and Texture Presentation on Walking BehaviorElectronics10.3390/electronics1006070210:6(702)Online publication date: 17-Mar-2021
https://doi.org/10.3390/electronics10060702
Croucher CPowell WDicks MStevens BPowell V(2021)The Use of Embedded Context-Sensitive Attractors for Clinical Walking Test Guidance in Virtual RealityFrontiers in Virtual Reality10.3389/frvir.2021.6219652Online publication date: 29-Apr-2021
https://doi.org/10.3389/frvir.2021.621965
Albarrak LMetatla ORoudaut A(2021)(Don't) Mind the StepProceedings of the ACM on Human-Computer Interaction10.1145/34885375:ISS(1-18)Online publication date: 5-Nov-2021
https://dl.acm.org/doi/10.1145/3488537
Zeng JDeng HZhu YWessely MKilian AMueller S(2021)Lenticular Objects: 3D Printed Objects with Lenticular Lens Surfaces That Can Change their Appearance Depending on the ViewpointThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474815(1184-1196)Online publication date: 10-Oct-2021
https://dl.acm.org/doi/10.1145/3472749.3474815
Sakuragi YIsoyama NTerada TTsukamoto M(2019)Evaluation of Effect on Walking Behavior by Seeing Augmented Reality ObjectsProceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia10.1145/3365921.3365948(212-218)Online publication date: 2-Dec-2019
https://dl.acm.org/doi/10.1145/3365921.3365948
Sakamoto NFurukawa MKurokawa MMaeda T(2019)Guided Walking to Direct Pedestrians toward the Same DestinationProceedings of the 10th Augmented Human International Conference 201910.1145/3311823.3311835(1-8)Online publication date: 11-Mar-2019
https://dl.acm.org/doi/10.1145/3311823.3311835
Kayukawa SHiguchi KGuerreiro JMorishima SSato YKitani KAsakawa CBrewster SFitzpatrick GCox AKostakos V(2019)BBeepProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300282(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300282
Kon YNakamura TKajimoto H(2017)Interpretation of navigation information modulates the effect of the waist-type Hanger Reflex on walking2017 IEEE Symposium on 3D User Interfaces (3DUI)10.1109/3DUI.2017.7893326(107-115)Online publication date: 2017
https://doi.org/10.1109/3DUI.2017.7893326
Ishii ASuzuki ISakamoto SKanai KTakazawa KDoi HOchiai YRekimoto JIgarashi TWobbrock JAvrahami D(2016)Optical MarionetteProceedings of the 29th Annual Symposium on User Interface Software and Technology10.1145/2984511.2984545(705-716)Online publication date: 16-Oct-2016
https://dl.acm.org/doi/10.1145/2984511.2984545
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