Find and Seek

Web designers use visual cues such as layout and typography to make pages easier to navigate and understand. Yet, screen readers generally ignore these features and present page information in a linear audio stream. We investigate whether transcoding the visual semantics of grid-based layouts to tables supports better navigation. In a controlled experiment, participants navigated re-written pages significantly faster when doing data synthesis tasks and more accurately when looking up information meeting multiple criteria. Participants rated their table navigation experience better in terms of effort, memorization, ease of navigation, understanding of page information, and confidence in submitted answers. Participants attributed these gains to the table structure’s support for (1) predictable audio presentation, (2) adopting an appropriate search strategy, and (3) making sense of page content. Contrary to the established belief that tables are inaccessible, our results show that tables can facilitate navigation when users need to synthesize across page content.

[1]  Markel Vigo,et al.  Prejudices, memories, expectations and confidence influence experienced accessibility on the Web , 2015, Comput. Hum. Behav..

[2]  Andy P Field,et al.  How to do a meta-analysis. , 2010, The British journal of mathematical and statistical psychology.

[3]  Ruslan R. Fayzrakhmanov,et al.  Modelling web navigation with the user in mind , 2010, W4A.

[4]  Peter Robinson,et al.  Transformation frameworks and their relevance in universal design , 2004, Universal Access in the Information Society.

[5]  Carole A. Goble,et al.  Rendering tables in audio: the interaction of structure and reading styles , 2003, Assets '04.

[6]  Rachel K. E. Bellamy,et al.  Designing for auditory web access: accessibility and cellphone users , 2010, W4A.

[7]  Richard E. Ladner,et al.  The design of human-powered access technology , 2011, ASSETS.

[8]  Kurt L. Johnson,et al.  Making Web‐based tables accessible for users of screen readers , 2002 .

[9]  David Gries,et al.  Documents mean more than just paper , 1997 .

[10]  Richard E. Ladner,et al.  Freedom to roam: a study of mobile device adoption and accessibility for people with visual and motor disabilities , 2009, Assets '09.

[11]  Hironobu Takagi,et al.  Analysis of navigability of Web applications for improving blind usability , 2007, TCHI.

[12]  Richard Turner,et al.  Non‐Visual Access to the Digital Library (NoVA): The Use of the Digital Library Interfaces by Blind and Visually Impaired People , 2013 .

[13]  Enrico Pontelli,et al.  Navigation of HTML tables, frames, and XML fragments , 2002, Assets '02.

[14]  Carole A. Goble,et al.  Evaluating DANTE: Semantic transcoding for visually disabled users , 2007, TCHI.

[15]  Rachel K. E. Bellamy,et al.  Towards a tool for keystroke level modeling of skilled screen reading , 2010, ASSETS '10.

[16]  Clayton Lewis Pushing the Raman principle , 2013, W4A.

[17]  Peter Brophy,et al.  Web Accessibility , 2007, Human–Computer Interaction Series.

[18]  Jennifer Mankoff,et al.  Is your web page accessible?: a comparative study of methods for assessing web page accessibility for the blind , 2005, CHI.

[19]  Enrico Pontelli,et al.  Non-visual Navigation of Spreadsheet Tables , 2010, ICCHP.

[20]  Bambang Parmanto,et al.  Accessibility Transformation Gateway , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[21]  Uran Oh,et al.  Current and future mobile and wearable device use by people with visual impairments , 2014, CHI.

[22]  Takashi Itoh,et al.  User interface of a nonvisual table navigation method , 1999, CHI EA '99.

[23]  Jacob O. Wobbrock,et al.  Nonparametric Statistics in Human–Computer Interaction , 2016 .

[24]  Michael D. Ernst,et al.  Verifying that web pages have accessible layout , 2018, PLDI.

[25]  P. Jaeger,et al.  Understanding Disability: Inclusion, Access, Diversity, and Civil Rights , 2005 .

[26]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[27]  Bambang Parmanto,et al.  AcceSS: accessibility through simplification & summarization , 2005, W4A '05.

[28]  Dongsong Zhang,et al.  Personalized Assistive Web for Improving Mobile Web Browsing and Accessibility for Visually Impaired Users , 2017, ACM Trans. Access. Comput..

[29]  John Zimmerman,et al.  The utility of tables for screen reader users , 2016, 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC).

[30]  Randolph G. Bias,et al.  Research Methods for Human-Computer Interaction , 2010, J. Assoc. Inf. Sci. Technol..

[31]  Joanna McGrenere,et al.  Impact of screen size on performance, awareness, and user satisfaction with adaptive graphical user interfaces , 2008, CHI.

[32]  Tiago João Vieira Guerreiro,et al.  Usage of Subjective Scales in Accessibility Research , 2015, ASSETS.

[33]  John Zimmerman,et al.  EnTable: Rewriting Web Data Sets as Accessible Tables , 2015, ASSETS.

[34]  Hironobu Takagi,et al.  Annotation-based transcoding for nonvisual web access , 2000, Assets '00.

[35]  Aaron Allen,et al.  What Frustrates Screen Reader Users on the Web: A Study of 100 Blind Users , 2007, Int. J. Hum. Comput. Interact..

[36]  Junji Maeda,et al.  Accessibility designer: visualizing usability for the blind , 2004, Assets '04.

[37]  Jennifer Mankoff,et al.  Nonvisual Interaction Techniques at the Keyboard Surface , 2018, CHI.

[38]  Koji Yatani,et al.  Effect Sizes and Power Analysis in HCI , 2016 .

[39]  Enrico Pontelli,et al.  Planning, reasoning, and agents for non-visual navigation of tables and frames , 2002, Assets '02.