Development of the Accessibility Evaluation Platform Beyond Digital Divide

  • Junji OhyamaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9754)


We developed a web-based experiment platform for psychological experiments and questionnaire surveys to evaluate accessibility, especially for elderly participant studies. Our proposing system is an accessible experiment platform for experimenters and participants, which has necessary and sufficient functions for studies to solve many open questions of aging society, especially for evaluating accessible design. This system has three advantages. (1) No programming knowledge is needed for users. This system makes surveys and experiments possible only by inputting essential values and words such as a sentence of question, a file name of image to present, a numerical value of presentation time. (2) The System requirements are less severe than other systems. The user can run experiments on a PC, tablet, or mobile, without installing any specific software. If the study does not require strict control of environmental conditions, elderly people can join the survey at home or anyplace. Moreover, this system enables studies for elderly people without a lot of costs, since it is web-based and does not need to have many licenses. (3) Our proposing system has essential functions for basic psychological experiments. It is compatible with personal information protection, confirmation of written consent, design of the task procedure (randomize, block, shuffle), input and response (e.g., free description, evaluation axis, selection, coordinates of mouse click, and response time). The proposing experiment platform is useable for the accessibility study to fill in the gap of digital divide, especially the studies of human computer interaction in aging society.


Accessible design Evaluation tool Cognitive technology Experimental psychology Questionnaire survey 


  1. 1.
    Sagawa, K., Kurakata, K.: Estimation of legible font size for elderly people. Synthesiology 6(1), 24–33 (2013)CrossRefGoogle Scholar
  2. 2.
    Ohyama, J., Itoh, N., Kurakata, K., Sagawa, K.: Time reduction design method for cognitive assist technology. In: Zhou, J., Salvendy, Gavriel (eds.) ITAP 2015. LNCS, vol. 9193, pp. 94–103. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  3. 3.
    Ishimatsu, K., Miura, T., Shinohara, K.: Age influences visual attention characteristics among accident-free and accident-involved drivers. Jpn. Psychol. Res. 52(3), 186–200 (2010)CrossRefGoogle Scholar
  4. 4.
    Kitajima, M., Kumada, T., Akamatsu, M., Ogi, H., Yamazaki, H.: Effect of cognitive ability deficits on elderly passengers’ mobility at railway stations: Focusing on attention, working memory, planning. Gerontechnology 3(4), 231 (2005)CrossRefGoogle Scholar
  5. 5.
    Guide, M.U.S.: The mathworks. Inc., Natick, MA, 5, 333 (1998)Google Scholar
  6. 6.
  7. 7.
    Straw, A.D.: Vision egg: an open-source library for realtime visual stimulus generation (2008)Google Scholar
  8. 8.
  9. 9.
  10. 10.
    WebExp, The University of Edinburgh.
  11. 11.
    Spruyt, A., Clarysse, J., Vansteenwegen, D., Baeyens, F., Hermans, D.: Affect 4.0: a free software package for implementing psychological and psychophysiological experiments. Exp. Psychol. 57, 36–45 (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.National Institute of Advanced Industrial Science and Technology 1-1-1Tsukuba CityJapan

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