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Model-directed web transactions under constrained modalities
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Source International World Wide Web Conference archive
Proceedings of the 15th international conference on World Wide Web table of contents
Edinburgh, Scotland
SESSION: Web engineering: validation table of contents
Pages: 447 - 456  
Year of Publication: 2006
ISBN:1-59593-323-9
Authors
Zan Sun  Stony Brook University, Stony Brook, NY
Jalal Mahmud  Stony Brook University, Stony Brook, NY
Saikat Mukherjee  Stony Brook University, Stony Brook, NY
I. V. Ramakrishnan  Stony Brook University, Stony Brook, NY
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Online transactions (e.g., buying a book on the Web) typically involve a number of steps spanning several pages. Conducting such transactions under constrained interaction modalities as exemplified by small screen handhelds or interactive speech interfaces - the primary mode of communication for visually impaired individuals - is a strenuous, fatigue-inducing activity. But usually one needs to browse only a small fragment of a Web page to perform a transactional step such as a form fillout, selecting an item from a search results list, etc. We exploit this observation to develop an automata-based process model that delivers only the "relevant" page fragments at each transactional step, thereby reducing information overload on such narrow interaction bandwidths. We realize this model by coupling techniques from content analysis of Web documents, automata learning and statistical classification. The process model and associated techniques have been incorporated into Guide-O, a prototype system that facilitates online transactions using speech/keyboard interface (Guide-O-Speech), or with limited-display size handhelds (Guide-O-Mobile). Performance of Guide-O and its user experience are reported.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Zan Sun: colleagues
Jalal Mahmud: colleagues
Saikat Mukherjee: colleagues
I. V. Ramakrishnan: colleagues