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Towards a Cognitive Model of Human Mobility: An Investigation of Tactile Perception for use in Mobility Devices

Published online by Cambridge University Press:  14 July 2016

E. Pissaloux ,
R. Velazquez ,
M. Hersh  and
G. Uzan
E. Pissaloux*
Affiliation:
(UPMC & Université de Rouen, France)
R. Velazquez
Affiliation:
(Universidad Panamericana, Mexico)
M. Hersh
Affiliation:
(Glasgow University, Scotland)
G. Uzan
Affiliation:
(Université Paris 8, France)
*
(E-mail: [email protected])
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Abstract

This paper reports the results of the first three in a series of experiments on tactile perception which form part of a larger project on tactile perceptions and spatial representations and the design of tactile interfaces for mobility devices for blind, partially sighted and deafblind people. The results indicate the potential of tactile interfaces, including to support environmental exploration and mobility. The participants showed reasonably good ability to determine the direction of motion of an arrow, with best recognition rates in the up and right directions. They showed reasonably good ability to use a tactile interface to detect and avoid obstacles after a very short learning period and more limited ability to learn and remember an environmental representation using information from a tactile interface and walking through the environment without specific instructions.

Keywords

Tactile perceptionTactile representationTactiPadNatural navigation
Type
Research Article
Information
The Journal of Navigation , Volume 70 , Issue 1 , January 2017 , pp. 1 - 17
Copyright
Copyright © The Royal Institute of Navigation 2016 

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References

REFERENCES

Abboud, S., Hanassy, S., Levy-Tzedek, S., Maidenbaum, S. and Amedi, A. (2014). EyeMusic:introducing a “visual” colorful experience for the blind using auditory sensory substitution. Restorative Neurology and Neuroscience 32, 247–257.Google Scholar
Arditi, A. and Tian, Y. (2013). User interface preferences in the design of a camera-based navigation and wayfinding aid. Journal of Visual Impairment & Blindness, 107(2), 18–129.Google Scholar
Brabyn, J., Crandall, W. and Gerrey, W. (1993). Talking signs: a remote signage, solution for the blind, visually impaired and reading disabled. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1309–1310.Google Scholar
Borenstein, J. and Ulrich, I. (2001). The GuideCane - Applying Mobile Robot Technologies to Assist the Visually Impaired, IEEE Trans . SMC, Part A: Systems and Humans, 31(2), 131–136.Google Scholar
Bryant, D.J., Tversky, B. and Franklin, N. (1992). Internal and external spatial frameworks for represnting described scenes. Journal of Memory and Language, 31, 74–98.Google Scholar
Bujacz, M., Skulimowski, P. and Strumiłło, P. (2012). Naviton - a prototype mobility aid for auditory presentation of 3D scenes, Journal of Audio Engineering Society, 60(9), 696–708.Google Scholar
Downs, R.M. and Stea, D. (1977). Maps in Minds: Reflections on Cognitive Mapping. Harper and Row.Google Scholar
Dunai, L., Lengua, I., Tortajada, I. and Fernando Brusola, S. (2014). Obstacle detectors for visually impaired people. 2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), 809–816.Google Scholar
Farcy, R. (2006). Electronic Travel Aids and Electronic Orientation Aids for blind people: technical, rehabilitation and everyday life points of view. CVHI 2006. Kufstein, Austria.Google Scholar
Franklin, N. and Tversky, B. (1990). Searchng Imagined Environments. Journal Of Experimental Psychology: General, 119(1), 63–76.Google Scholar
Gärling, T. and Golledge, R. (1987). Behaviour and Environment : Psychological and Geographical Approaches. North Holland.Google Scholar
Hersh, M. and Johnson, M. (2008). (ed.), Assistive Technology for Visually Impaired and Blind People, Springer.CrossRefGoogle Scholar
Hersh, M.A. (2009a). Designing assistive technology to support independent travel for blind and visually impaired people. CVHI ‘09, Wrocław, Poland.Google Scholar
Hersh, M.A. (2009b). The application of information and other technologies to improve the mobility of blind, visually impaired and deafblind people, Travel Health Informatics and Telehealth. Selected Papers from EFMI Special Topic Conference, Antalya, Turkey, G. Mihalaş et. al. (eds.), 11–24, Victor Babes University Publishing House.Google Scholar
Hersh, M.A. (2016). Travel and information processing by blind people: a new three-component model, Biomedical Engineering, University of Glasgow Report, http://web.eng.gla.ac.uk/assistive/pages/publications.php Google Scholar
Hoyle, B. and Dodds, S. (2006). The UltraCane® Mobility Aid at Work Training Programmes to Case Studies. CVHI, Kufstein, Austria.Google Scholar
Kammoun, S., Dramas, F., Oriolaand, B. and Jouffrais, C. (2010). Route selection algorithm for Blind pedestrian, Int. Conf. on Control Automation and Systems (ICCAS). 2223–2228 Google Scholar
Kane, S.K., Jayant, C., Wobbrock, J.O. and Ladner, R.E. (2009). Freedom to roam: a study of mobile device adoption and accessibility for people with visual and motor disabilities. In Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility, 115–122. ACM.Google Scholar
Koch, O. and Teller, S. (2008). A Vision-based Navigation Assistant. ECCV Workshop on Computer Vision Applications for the Visually Impaired, Marseille, France.Google Scholar
Kumar, A., Patra, R., Manjunatha, M., Mukhopadhyay, J. and Majumdar, A.K. (2011). An electronic travel aid for navigation of visually impaired persons. In Communication Systems and Networks (COMSNETS), 2011 Third International Conference on, 1–5.Google Scholar
Lynch, K. (1960). The Image of the City. MIT Press, Cambridge, Mass.Google Scholar
Maidenbaum, S., Levy-Tzedek, S., Chebat, D.R., Namer-Furstenberg, R. and Amedi, A. (2014). The Effect of Extended Sensory Range via the EyeCane Sensory Substitution Device on the characteristics of Visionless Virtual Navigation. Multisensory Research, 27, 379–397.Google Scholar
Mandler, J.M. (1983). Representation. In Mussen, P. (ed.), Handbook of Child Psychology, Vol III (4th ed.), Wiley, 420–494.Google Scholar
Millar, S. (1988). Models of sensory deprivation: the nature nurture dichotomy and spatial representation in the blind. International Journal of Behavioural Development, 11(1), 69–87.Google Scholar
Millar, S. (1994). Understanding and Representing Space : Theory and Evidence from Studies with Blind and Sighted Children. Clarendon Press, Oxford.Google Scholar
Millar, S. (1995). Understanding and Representing Spatial information. British Journal of Visual Impairment, 13(1), 8–11.Google Scholar
Pissaloux, E., Maingreaud, F., Fontaine, E. and Velazquez, R. (2006). Towards space concept integration in navigation tools. ENACTIVE'2006, 3rd International Conference on Enactive Interfaces, 20–21 Nov, Montpellier, FRANCE Google Scholar
Pissaloux, E. (2013). Visually impaired mobility and ICT supports. IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA). ISSN : 2326–0262.Google Scholar
Pissaloux, E. and Velázquez, R. (2016). Cognitive Model of Human Mobility, in Pissaloux Velázquez (ed.), Mobility in Visually Impaired People - Fundamentals and ICT Assistive Technologies, Springer (to appear).Google Scholar
Siegel, A.W. (1981). The externalization of cognitive maps by children and adults: in search of ways to ask better questions. In L.S. Liben, A.H. Patterson and N. Newcombe (eds.), Spatial Representation and Behaviour Across the Life Span: Theory and Application, Academic, 167–194.Google Scholar
Terlau, T. and Penrod, W.M. (2008). ‘K’ Sonar Curriculum Handbook. American Printing House for the Blind, Inc.Google Scholar
Thinus-Blanc, C. and Gaunet, F. (1997). Representation of space in blind persons: Vision as a spatial sense? Psychological Bulletin, 121, 20–42.Google Scholar
Thornbury, J.M. and Mistretta, C.M. (1981). Tactile sensitivity as a function of age. Journal of Gerontology, 36(1), 34–39.CrossRefGoogle ScholarPubMed
Tversky, B. (1993). Cognitive maps, cognitive collages, and spatial mental models , in Frank, A.U. & Campari, I. (Eds) Spatial information theory : A theoretical basis for GIS, 14–24, Springer-Verlag Google Scholar
Tversky, B. (2001). Spatial schemas in depictions . In Gattis, M. (Editor), Spatial schemas and abstract thought, MIT Press.Google Scholar
Tversky, B. (2005). Functional significance of visuospatial representations . in Shah, P., Miyake, A., Handbook of higher-level visuospatial thinking. Cambridge University Press.Google Scholar
Ungar, S. (2000). Cognitive mapping without visual experience. In Kitchin, R. and Freundschuh, S. (eds.), Cognitive mapping: past, present, and future, 4, 221.Google Scholar
Velázquez, R., Pissaloux, E.E., Hafez, M. and Szewczyk, J., (2008). Tactile Rendering with Shape Memory Alloy Pin-Matrix. IEEE Transactions on Instrumentation and Measurement, 57(5), 1051–1057.CrossRefGoogle Scholar
Yusro, M., Hou, K.M., Pissaloux, E., Shi, H.L., Ramli, K. and Sudiana, D. (2013). SEES: Concept and Design of a Smart Environment Explorer Stick, IEEE HSI 2013.Google Scholar