Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Hakobyan, Lilit; Lumsden, Jo; O'Sullivan, Dympna; Bartlett, Hannah (2013)
Publisher: Elsevier
Languages: English
Types: Article
Subjects: QA
There are around 285 million visually impaired people worldwide, and around 370,000 people are registered as blind or partially sighted in the UK. Ongoing advances in information technology (IT) are increasing the scope for IT-based mobile assistive technologies to facilitate the independence, safety, and improved quality of life of the visually impaired. Research is being directed at making mobile phones and other handheld devices accessible via our haptic (touch) and audio sensory channels. We review research and innovation within the field of mobile assistive technology for the visually impaired and, in so doing, highlight the need for successful collaboration between clinical expertise, computer science, and domain users to realize fully the potential benefits of such technologies. We initially reflect on research that has been conducted to make mobile phones more accessible to people with vision loss. We then discuss innovative assistive applications designed for the visually impaired that are either delivered via mainstream devices and can be used while in motion (e.g., mobile phones) or are embedded within an environment that may be in motion (e.g., public transport) or within which the user may be in motion (e.g., smart homes).
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. AbdulRasool D, Sabra S. Mobile-Embedded Smart Guide for the Blind. In Proceedings of the International Conference on Digital Information and Communication Technology and Its Applications (DICTAP 2011), Dijon, France, June 21-23, 2011; 571-8
    • 2. Abu Doush I, Pontelli E. Non-visual navigation of spreadsheet tables. In Proceedings of the 12th International Conference on Computers Helping People with Special Needs (ICCHP 2010), Vienna, Austria, July 14-16, 2010; 108-15
    • 3. Ahmed F. Assistive Web Browsing with Touch Interfaces. In Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility ASSETS'10), Orlando, Florida, USA, October 25 - 27, 2010; 235-6
    • 4. Allen M. Design and Field Evaluation of PhotoTalk: A Digital Image Communication Application for People who have Aphasia. Masters Thesis, University of British Columbia, 2006
    • 5. Allen M, Leung R, McGrenere J, Purves B. Involving domain experts in assistive technology research. Universal Access in the Information Society. 2008; 7(3):145-54
    • 6. Amemiya T. Haptic direction indicator for visually impaired people based on pseudoattraction force. International Journal on Human-Computer Interaction. 2009; 1(5): 23-34
    • 7. Amemiya T, Sugiyama H. Haptic Handheld Wayfinder with Pseudo-attraction Force for Pedestrians with Visual Impairments. In Proceedings of the 11th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS'09), Pittsburgh, PA, USA, October 25 - 28, 2009; 107-14
    • 8. Amemiya T, Sugiyama H. Orienting Kinesthetically: A Haptic Handheld Wayfinder for People with Visual Impairments. ACM Transactions on Accessible Computing. 2010; 3(2):Article 6
    • 9. Azenkot S, Fortuna E. Improving public transit usability for blind and deaf-blind people by connecting a braille display to a smartphone. In Proceedings of the 12th international ACM SIGACCESS Conference on Computers and Accessibility (ASSETS'10); Orlando, Florida, USA, October 25 - 27, 2010; 317-18
    • 10. Bala S, Ramesh V, Krishna S, Panchanathan S. Dyadic interaction assistant for tracking head gestures and facial expressions. 2010 IEEE International Symposium on Haptic AudioVisual Environments and Games (HAVE); Phoenix, Arizona, USA, October 16-17, 2010; 1-1
    • 11. Baranski P, Polanczyk M, Strumillo P. A remote guidance system for the blind. In Proceedings of the 12th IEEE International Conference on e-Health Networking, Application and Services (Healthcom); Lyon, France, July 1-3, 2010; 386-90
    • 13. Behmer J, Knox S. LocalEyes: accessible GPS and points of interest. In Proceedings of the 12th international ACM SIGACCESS Conference on Computers and Accessibility (ASSETS'10); Orlando, Florida, USA, October 25-27, 2010; 323-4
    • 14. Billi M, Burzagli L, Catarci T, et al. A Unified Methodology for the Evaluation of Accessibility and Usability of Mobile Applications. Universal Access in the Information Society. 2010; 9(4):337-56
    • 15. Binns AM, Bunce C, Dickinson C, et al. How Effective is Low Vision Service Provision? A Systematic Review. Survey of Ophthalmology. 2011;57(1):34-65
    • 16. Bradley NA, Dunlop MD. An Experimental Investigation into Wayfinding Directions for Visually Impaired People. Personal and Ubiquitous Computing. 2005;9(6):395-403
    • 17. Brewster S. Overcoming the lack of screen space on mobile computers. Personal and Ubiquitous Computing. 2002;6:188-205
    • 18. Brewster S, Chohan F, Brown L. Tactile Feedback for Mobile Interactions. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 07); San Jose, CA, USA, April 30- May 03, 2007; 159-62
    • 19. Brewster S, Lumsden J, Bell M, Hall M, Tasker S. Multimodal 'eyes-free' interaction techniques for wearable devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; Ft. Lauderdale, Florida, USA, April 5-10, 2003; 473-80
    • 20. Broekens J, Heerink M, Rosendal H. Assistive social robots in elderly care: a review. Gerontechnology. 2009;8(2):94-103
    • 21. Brown L, Brewster S, Purchase H. Multidimensional Tactons for Non-Visual Information presentation in Mobile Devices. In proceedings of the 8th Conference on Human-Computer Interaction with Mobile Devices and Services; Helsinki, Finland, September 12-15, 2006; 231-8
    • 22. Bujacz M, Baranski P. Remote mobility and navigation aid for the visually disabled. In Proceedings of the 7th International Conference on Disability, Virtual Reality and Assoc. Technologies with Art ArtAbilitation; Maia, Portugal, September 8-11, 2008; 263-270
    • 23. Calder DJ. Ecological solutions for the blind. In Proceedings of the 4th IEEE International Conference on Digital Ecosystems and Technologies; Dubai, United Arab Emirates, April 13-16, 2010; 625-30
    • 24. Chen X, Tremaine M, Lutz R, et al. AudioBrowser: a Mobile Browsable Information Access for the Visually Impaired. Universal Access in the Information Society, 2006; 5(1): 4- 22
    • 25. Cheverst K, Clarke K, Dewsbury G, et al. Designing Assistive Technologies for Medication Regimes in Care Settings. Universal Access in the Information Society (UAIS). 2003;2(3):235-42
    • 26. Chiang MJ, Cole RG, et al. Computer and World Wide Web Accessibility by Visually Disabled Patients: Problems and Solutions. Survey of Ophthalmology. 2005;50(4):394-405
    • 27. Cober R, Au O, Son JJ. Using a participatory approach to design a technology-enhanced museum tour for visitors who are blind. In Proceedings of the 2012 iConference; Toronto, Ontario, Canada, February 7-10, 2012; 592-4
    • 28. Coccharella L, Andersson GBJ (eds). The visual system. In: Guides to the Evaluation of Permanent Impairment. Chicago, IL, American Medical Association, 2000, ed 5, pp 277-300
    • 29. Connelly K, Faber A, et al. Mobile Applications that Empower People to Monitor their Personal Health. Elektrotechnik und Informationstechnik. 2006;123(4):124-8
    • 30. Coughlan J, Manduchi R. Functional assessment of a camera phone-based wayfinding system operated by blind and visually impaired users. International Journal on Artificial Intelligence Tools. 2009;18(3):379-97
    • 31. Crabtree A, Hemmings T, Rodden T, et al. Designing with care: Adapting cultural probes to inform design in sensitive settings. In Proceedings of the Conference on New Directions in Interaction, Information Environments, Media, and Technology (OzCHI'03); Brisbane, Australia, November 26-28, 2003; 4-13
    • 32. Dicke C, Wolf K, Tal Y. Foogue: eyes-free interaction for smartphones. In Proceedings of the 12th international Conference on Human Computer Interaction with Mobile Devices and Services; Lisbon, Portugal, September 7-10, 2010; 455-8
    • 33. Deegan P, Grupen R, Hanson A, Horrell E. Mobile manipulators for assisted living in Residential Settings. Autonomous Robots. 2008;24(2):179-92
    • 34. Dewsbury G, Clarke K, Hughes J, et al. Growing Older Digitally: Designing Technology For Older People. In Proceedings of Inclusive Design for Society and Business; Royal College of Art, London , March 25-28, 2003; 57-64
    • 35. Doush IA, Pontelli E. Non-visual navigation of spreadsheets - Enhancing accessibility of Microsoft Excel™. "In press" Universal Access in the Information Society. 2012;1-17
    • 36. Ferres L, Lindgaard G, Sumegi L. Evaluating a tool for improving accessibility to charts and graphs. In Proceedings of the 12th international ACM SIGACCESS Conference on Computers and Accessibility; Orlando, Florida, USA, October 25-27, 2010; 83-90
    • 37. Foley A, Ferri BA. Technology for people, not disabilities: Ensuring access and inclusion. "In press" Journal of Research in Special Educational Needs. 2012
    • 38. Forlizzi J, Disalvo C, Gemperle F (2004). Assistive Robotics and an Ecology of Elders Living Independently in Their Homes. Human-Computer Interaction. 2004;19(1):25-59
    • 39. Fruchterman, J. In the palm of your hand: a vision of the future of technology for people with visual impairments. Journal of Visual Impairments and Blindness. 2003;97(10):585-91
    • 40. Garaj V, Jirawimut R, et al. A system for remote sighted guidance of visually impaired pedestrians.British Journal of Visual impairment. 2003;21(2):55-63
    • 41. Capi G, Toda H. A new robotic system to assist visually impaired people. In the 20th IEEE International Symposium on Robot and Human Interactive Communication (ROMAN); Atlanta, Georgia, July 31 - August 3, 2011; 259-63
    • 42. Guerreiro T. Assessing mobile-wise individual differences in the blind. In Proceedings of the 12th International Conference on Human Computer Interaction with Mobile Devices and Services, Lisbon, Portugal, September 7-10, 2010; 485-6
    • 43. Hersh MA. The design and evaluation of assistive technology products and devices part 3: Outcomes of assistive product use, in: Blouin M, Stone J (ed): International Encyclopedia of Rehabilitation, CIRRIE, 2010
    • 45. Jack JA, Barreto AB, Marmet GJ, et al. Low Vision: the role of visual acuity in the efficiency of cursor movement. In Proceedings of the Fourth International Conference on Assistive Technologies (ASSETS); New York, USA, 2000; 1-8
    • 46. Jacobson RD. Cognitive Mapping without Sight: Four Preliminary Studies of Spatial Learning. Journal of Environmental Psychology. 1998;18:289-305
    • 47. Jacquet C, Bellik Y, Bourd Y, Moulon P. Electronic Locomotion Aids for the Blind : Towards More Assistive Systems. Intelligent Paradigms for Assistive and Preventive Healthcare, Studies in Computational Intelligence, Vol. 19, Springer, 2006, pp 133-63
    • 48. Jayant C, Acuario C, Johnson W, et al. VBraille : Haptic Braille Perception Using a Touch-screen and Vibration on Mobile Phones. In Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS); Orlando, Florida, USA, October 25 - 27, 2010; 295-6
    • 49. Johnson KL, Dudgeon B, Amtmann D. Assistive technologyin rehabilation. Physical Medicine and Rehabilitation Clinics of North America. 1997;8(2):389-403
    • 50. Jose J, Farrajota M, Rodrigues JMF, Hans du Buf JM. The SmartVision local navigation aid for blind and visually impaired persons. International Journal of Digital Content Technology and its Applications. 2011;5(5):362-75
    • 51. Kane SK, Bigham JP, Wobbrock JO. Slide rule: making mobile touch screens accessible to blind people using multi-touch interaction techniques. In Proceedings of the 10th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), Halifax, Nova Scotia, Canada, October 13-15, 2008; 73-80
    • 52. Kientz J, Patel S, Tyebkhan AZ, et al. Where‟s my Stuff? Design and evaluation of a mobile system for locating lost items for the visually impaired. In Proceedings of the 8th ACM Conference on Computers and Accessibility (ASSETS); Portland, Oregon, USA, October 22- 5, 2006; 103-10
    • 53. Kulyukin V, Crandall W, Coster D. Efficiency or Quality of Experience: A Laboratory Study of Three Eyes-Free Touchscreen Menu Browsing User Interfaces for Mobile Phones. The Open Rehabilitation Journal. 2011;4:13-22
    • 54. Kulyukin V, Gharpure C, Nicholson J. RoboCart: toward Robot-Assisted Navigation of Grocery Stores by the Visually Impaired. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Alberta, Canada, August 2-2, 2005; 2845-50
    • 55. Kulyukin V, Kutiyanawala A. Accessible Shopping Systems for Blind and Visually Impaired Individuals: Design Requirements and the State of the Art. The Open Rehabilitation Journal. 2010;3:158-68
    • 56. Kulyukin V, Kutiyanawala A. (2010). Eyes-Free Barcode Localization and Decoding for Visually Impaired Mobile Phone Users. In Proceedings of the 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV), Las Vegas, USA, July 12-15, 2010; 1-7
    • 66. Lumsden J, Leung R, Fritz J. Designing a mobile transcriber application for adult literacy education: a case study. In Proceedings of International Conference on Mobile Learning (IADS); Qawra, Malta, June 28 - 30, 2005; 16-23
    • 67. Mahmud J, Ramakrishnan IV. Transaction models for Web accessibility. World Wide Web. 2012;15(4):383-408
    • 68. Mann WC, Milton BR. Home Automation and Smart Homes to Support Independence, in Smart Technology for Aging, Disability, and Independence, Hoboken, John Wiley & Sons, 2005, pp 32-66
    • 79. Passini R, Proulx G. Wayfinding without vision: an experiment with congenitally totally blind people. Environment and Behaviour.1988;20(2):227-52
    • 80. Peak P, Leonard JA. The use of heart-rate as an index of stress in blind pedestrains. Ergonomics. 1971;14(2):189-204
    • 81. Peng E, Peursum P, et al. A smartphone-based obstacle sensor for the visually impaired. In Proceedings of the 7th International Conference on Ubiquitous Intelligence and Computing; Xi'an, China, October 26-29, 2010; 590-604
    • 82. Perry J, Beyer S. Ethical issues around telecare: The views of people with intellectual disabilities and people with dementia. Journal of Assistive Technologies.2012;6(1):71-5
    • 83. Phillips B, Zhao H. Predictors of assistive technology abandonment. Assistive Technology. 1993;5(1):36-45
    • 84. Quiñones P-A, Greene TC, Yang R, Newman MW. Supporting Visually Impaired Navigation: A Needs-finding Study. In Proceedings of the Conference on Human Factors in Computing Systems; ACM, New York, USA, May 07-12, 2011; 1645 - 50
    • 86. Sharkey A, Sharkey N. Granny and the robots: Ethical issues in robot care for the elderly. Ethics and Information Technology. 2012:14(1):27-40
    • 87. Sanchez J, Torre NdL. Autonomous navigation through the city for the blind. In Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility; Orlando, Florida, USA, October 25-17, 2010;195-202
    • 88. Scherer MJ. Living in the state of stuck: How technology impacts the lives of people with disabilities Cambridge, MA, Brookline Books, 2000, ed 3
    • 89. Scherer MJ, Lane JP. Assessing consumer profiles of „ideal‟ assistive technologies in ten categories: An integration of quantitative and qualitative methods. Disability and Rehabilitation. 1997; 19(12): 528-35
    • 90. Shen H, Chan KY, et al. A Mobile Phone System to Find Crosswalks for Visually Impaired Pedestrians. Technology and Disability. 2008; 20(3):217-24
    • 91. Shingledecker C. Measuring the mental effort of blind mobility. Journal of Visual Impairment and Blindness. 1983;77(7):334-9
    • 92. Shoval S, Ulrich I, Borenstein J. NavBelt and the Guide-Cane [Obstacle-Avoidance Systems for the Blind and Visually impaired. Robotics and Automation Magazine, IEEE. 2003; 10(1):9-20.
    • 93. Song JW, Yang SH. Touch Your Way: Haptic Sight for Visually Impaired People to Walk with Independence. In Proceedings of the 28th of the International Conference Extended Abstracts on Human Factors in Computing Systems (CHI); Atlanta, GA, USA, April 10 - 15, 2010; 3343-8
    • 94. Srikulwong M, O'Neill E. A comparative study of tactile representation techniques for landmarks on a wearable device. Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems; Vancouver, BC, Canada, May 07-12, 2011; 2029-38
    • 107. Williamson J, Murray-Smith R, Hughes S. Shoogle: Multimodal Excitatory Interfaces on Mobile Devices. In Proceedings of the Computer/Human Interaction Conference (CHI); San Jose, CA, USA, April 28 - May 03, 2007; 121-4
    • 108. Zhang J, Lip CW, Ong SK, Nee A. A multiple sensor-based shoe-mounted user interface designed for navigation systems for the visually impaired. In Wireless Internet Conference (WICON), The 5th Annual ICST; Singapore, March 1-3, 2010; 1-8 A. World Health Organisation (WHO), 2011. Visual Impairment and Blindness: Fact Sheet No 282. http://www.who.int/mediacentre/factsheets/fs282/en/index.html. Accessed December 12, 2011
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article