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Tag Thunder: Towards Non-Visual Web Page Skimming

Published: 23 October 2016 Publication History

Abstract

Tag thunder is an audio version of a visual tag cloud content representation. Tag thunders aim to bring quick reading strategies, such as skimming, to blind people. Tag thunders vocalize the key terms of a page using concurrent speech paradigm coupled with additional audio effects, similar to visual effects in a tag cloud. In this paper we present our implementation of the tag thunder concept. Our system comprises three modules: page segmentation, key term extraction and tag thunder vocalization. The evaluation results show the viability of the tag thunder concept.

References

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F. Ahmed, Y. Borodin, A. Soviak, M. Islam, I. Ramakrishnan, and T. Hedgpeth. Accessible skimming: Faster screen reading of web pages. In 25th Annual ACM Symposium on User Interface Software and Technology (UIST), pages 367--378, 2012.
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D. Arthur and S. Vassilvitskii. k-means++: The advantages of careful seeding. In Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, pages 1027--1035. Society for Industrial and Applied Mathematics, 2007.
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J. P. Bigham, A. C. Cavender, J. T. Brudvik, J. O. Wobbrock, and R. E. Lander. Webinsitu: A comparative analysis of blind and sighted browsing behavior. In 9th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), pages 51--58, 2007.
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E. C. Cherry. Some experiments on the recognition of speech, with one and with two ears. Journal of the acoustical society of America, 25(5), pages 975--979, 1953.
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G. Dias and B. Conde. Accessing the web on handheld devices for visually impaired people. In K. Wegrzyn-Wolska and P. Szczepaniak, editors, Advances in Intelligent Web Mastering, volume 43 of Advances in Soft Computing, pages 80--86. 2007.
[6]
J.-M. Lecarpentier, E. Manishina, F. Maurel, S. Ferrari, E. Giguet, G. Dias, and M. Busson. Tag thunder: Web page skimming in non visual environment using concurrent speech. In 7th Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), 2016.
[7]
R. Mihalcea and A. Csomai. Wikify!: linking documents to encyclopedic knowledge. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, pages 233--242. ACM, 2007.
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M. Morel and A. Lacheret-Dujour. Kali, synthèse vocale à partir du texte : de la conception à la mise en oeuvre. Traitement Automatique des Langues 42, pages 193--221, 2001.

Cited By

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  • (2022)Multimodal Web Page Segmentation Using Self-organized Multi-objective ClusteringACM Transactions on Information Systems10.1145/348096640:3(1-49)Online publication date: 7-Mar-2022
  • (2020)Model-Driven Web Page Segmentation for Non Visual AccessComputational Linguistics10.1007/978-981-15-6168-9_17(191-205)Online publication date: 2-Jul-2020
  • (2020)Towards More Efficient Screen Reader Web Access with Automatic Summary Generation and Text TaggingComputers Helping People with Special Needs10.1007/978-3-030-58796-3_36(303-313)Online publication date: 4-Sep-2020
  • Show More Cited By

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Published In

cover image ACM Conferences
ASSETS '16: Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility
October 2016
362 pages
ISBN:9781450341240
DOI:10.1145/2982142
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2016

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Author Tags

  1. content segmentation
  2. keyword extraction
  3. speech synthesis
  4. web content accessibility

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  • Demonstration

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ASSETS '16
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ASSETS '16 Paper Acceptance Rate 24 of 95 submissions, 25%;
Overall Acceptance Rate 436 of 1,556 submissions, 28%

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ASSETS '25

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Cited By

View all
  • (2022)Multimodal Web Page Segmentation Using Self-organized Multi-objective ClusteringACM Transactions on Information Systems10.1145/348096640:3(1-49)Online publication date: 7-Mar-2022
  • (2020)Model-Driven Web Page Segmentation for Non Visual AccessComputational Linguistics10.1007/978-981-15-6168-9_17(191-205)Online publication date: 2-Jul-2020
  • (2020)Towards More Efficient Screen Reader Web Access with Automatic Summary Generation and Text TaggingComputers Helping People with Special Needs10.1007/978-3-030-58796-3_36(303-313)Online publication date: 4-Sep-2020
  • (2019)Concurrent Speech Synthesis to Improve Document First Glance for the Blind2019 International Conference on Document Analysis and Recognition Workshops (ICDARW)10.1109/ICDARW.2019.20046(10-17)Online publication date: Sep-2019
  • (2018)Skim-reading Strategies in Sighted and Visually-Impaired IndividualsProceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference10.1145/3197768.3201535(170-177)Online publication date: 26-Jun-2018

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