Abstract
Much numerical information is visualized in graphs. However, this is a medium that is problematic for people with visual impairments. We have developed a system called iGraph which provides short verbal descriptions of the information usually depicted in graphs. This system was used as a preliminary solution that was validated through a process of User Needs Analysis (UNA). This process provided some basic data on the needs of people with visual impairments in terms of the components and the language to be used for graph comprehension and also validated our initial approach. The UNA provided important directions for the further development of iGraph particularly in terms of interactive querying of graphs.
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References
Shah, P., Carpenter, P.A.: Conceptual limitations in comprehending line graphs. Journal of Experimental Psychology: General 124(1), 43–61 (1995)
Bertin, J.: Semiology of Graphics. The University of Wisconsin Press, Madison (1983)
Carpenter, P., Shah, P.: A model of the perceptual and conceptual processes in graph comprehension. Journal of Experimental Psychology: Applied, 4, 75–100 (1998)
Pinker, S.: A theory of graph comprehension. In: Freedle, R. (ed.) Artificial intelligence and the future of testing, pp. 73–126. Lawrence Erlbaum, Hillsdale (1990)
Trickett, S.B., Ratwani, R.M., Trafton, J.G.: Real-world graph comprehension: High-level questions, complex graphs, and spatial cognition (under review)
Kosslyn, S.: Understanding charts and graphs. Applied Cognitive Psychology 3, 185–226 (1989)
Lohse, J.: A cognitive model for the perception and understanding of graphs. In: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 137–144. ACM Press, New York (1991)
Foster, M.: Evaluating models of visual comprehension. In: Proceedings of EuroCogsci 2003 (2003)
Flowers, J.H., Hauer, T.A.: The ear’s versus the eye’s potential to assess characteristics of numeric data: Are we too visuocentric? Behavior Research Methods, Instruments, & Computers 24(2), 258–264 (1992)
Flowers, J.H.: Thirteen years of reflection on auditory graphing: Promises, pitfalls, and potential new directions. In: Proceedings of ICAD 2005-Eleventh Meeting of the International Conference on Auditory Display (2005)
Brown, L., Brewster, S., Ramloll, R., Burton, M., Riedel, B.: Design guidelines for audio presentation of graphs and tables. In: Proceedings of ICAD 2003 Workshop on Auditory Displays In Assistive Technologies, University of Boston (2003)
McCoy, K.F., Carberry, M.S., Roper, T., Green, N.: Towards generating textual summaries of graphs. In: Proceedings of the 1st International Conference on Universal Access in Human-Computer Interaction, ACM Press, New York (2001)
Fasciano, M., Lapalme, G.: Postgraphe: a system for the generation of statistical graphics and text. In: Proceedings of the 8th International Workshop on Natural Language Generation (INLG 1996) (1996)
Corio, M., Lapalme, G.: Generation of texts for information graphics. In: Saint-Dizier, P. (ed.) Proceedings of the 7th. European Workshop on Natural Language Generation (EWNLG 1999), Toulouse, pp. 49–58 (1999)
Fasciano, M., Lapalme, G.: Intentions in the coordinated generation of graphics and text from tabular data. Knowl. Inf. Syst. 2(3), 310–339 (2000)
Mittal, V.O., Carenini, G., Moore, J.D., Roth, S.: Describing complex charts in natural language: a caption generation system. Computational Linguistics 24(3), 431–467 (1998)
Kerpedjiev, S.M.: Automatic generation of multimodal weather reports from datasets. In: Proceedings of the third conference on Applied natural language processing, pp. 48–55. Association for Computational Linguistics (1992)
Goldberg, E., Driedger, N., Kittredge, R.: Using natural-language processing to produce weather forecasts. IEEE Expert 9, 45–53 (1994)
Reiter, E., Dale, R.: Building applied natural language generation systems. Journal of Natural Language Engineering 3(1), 57–87 (1997)
Reiter, E., Dale, R.: Building natural language generation systems. Cambridge University Press, Cambridge (2000)
Yu, J., Reiter, E., Hunter, J., Sripada, S.: A new architecture for summarising time series data. In: Proceedings of INLG 2004 Poster Session, pp. 47–50 (2004)
Yu, J., Reiter, E., Hunter, J., Sripada, S.: Sumtime-turbine: A knowledge-based system to communicate time series data in the gas turbine domain. In: Proceedings of IEA/AIE-2003, pp. 379–384 (2003)
Sripada, S., Reiter, E., Hunter, J., Yu, J.: Summarising neonatal time series data. In: Proceedings of 2003 Conference of the European Chapter of the Association for Computation Linguistics, Companion Volume, pp. 734–743 (2003)
Dahlbäck, N., Jönsson, A., Ahrenberg, L.: Wizard of oz studies – why and how. Knowledge-Based Systems 6(4), 258–266 (1993)
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Ferres, L., Parush, A., Roberts, S., Lindgaard, G. (2006). Helping People with Visual Impairments Gain Access to Graphical Information Through Natural Language: The iGraph System. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds) Computers Helping People with Special Needs. ICCHP 2006. Lecture Notes in Computer Science, vol 4061. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788713_163
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DOI: https://doi.org/10.1007/11788713_163
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