%0 Journal Article %1 doi:10.1080/07370024.2012.697010 %A Brown, Andy %A Stevens, Robert %A Pettifer, Steve %D 2013 %J Human-Computer Interaction %K Accessiblity diagrams graphs %N 3 %P 193-221 %R 10.1080/07370024.2012.697010 %T Making Graph-Based Diagrams Work in Sound: The Role of Annotation %U http://www.tandfonline.com/doi/abs/10.1080/07370024.2012.697010 %V 28 %X Non-linear forms of diagrammatic presentation, such as node-arc graphs, are a powerful and elegant means of visual information presentation. While providing non-visual access is now routine for many forms of linear information, it becomes more difficult as the structure of the information becomes increasingly non-linear. An understanding of the ways in which graphs benefit sighted people, based on experiments and the literature, together with the difficulties encountered when exploring graphs non-visually, helps form a solution for non-visual access to graphs. This paper proposes that differing types of annotation offer a powerful and flexible technique for transferring the benefits of graph based diagrams, as well as for reducing disorientation while moving around the graph and for tackling some of the inherent disadvantages of using sound. Different forms of annotation that may address these problems are explored, classified and evaluated, including notes designed to summarise and to aid node differentiation. Graph annotation may be performed automatically, creating a graph that evaluation shows requires less mental effort to explore, and on which tasks can be achieved more effectively and more efficiently.

@article{doi:10.1080/07370024.2012.697010, abstract = {Non-linear forms of diagrammatic presentation, such as node-arc graphs, are a powerful and elegant means of visual information presentation. While providing non-visual access is now routine for many forms of linear information, it becomes more difficult as the structure of the information becomes increasingly non-linear. An understanding of the ways in which graphs benefit sighted people, based on experiments and the literature, together with the difficulties encountered when exploring graphs non-visually, helps form a solution for non-visual access to graphs. This paper proposes that differing types of annotation offer a powerful and flexible technique for transferring the benefits of graph based diagrams, as well as for reducing disorientation while moving around the graph and for tackling some of the inherent disadvantages of using sound. Different forms of annotation that may address these problems are explored, classified and evaluated, including notes designed to summarise and to aid node differentiation. Graph annotation may be performed automatically, creating a graph that evaluation shows requires less mental effort to explore, and on which tasks can be achieved more effectively and more efficiently.}, added-at = {2013-08-07T10:19:34.000+0200}, author = {Brown, Andy and Stevens, Robert and Pettifer, Steve}, biburl = {https://www.bibsonomy.org/bibtex/27425db33f9912657c7c6cb4b40060e37/wel-manchester}, doi = {10.1080/07370024.2012.697010}, eprint = {http://www.tandfonline.com/doi/pdf/10.1080/07370024.2012.697010}, interhash = {9fa496f9e7f62eb6f894cf512d065b85}, intrahash = {7425db33f9912657c7c6cb4b40060e37}, journal = {Human-Computer Interaction}, keywords = {Accessiblity diagrams graphs}, number = 3, pages = {193-221}, timestamp = {2013-08-07T10:19:34.000+0200}, title = {Making Graph-Based Diagrams Work in Sound: The Role of Annotation}, url = {http://www.tandfonline.com/doi/abs/10.1080/07370024.2012.697010}, volume = 28, year = 2013 }