ACM Home Page
Please provide us with feedback. Feedback
Trailblazer: enabling blind users to blaze trails through the web
Full text PdfPdf (2.59 MB)
Source
International Conference on Intelligent User Interfaces archive
Proceedings of the 13th international conference on Intelligent user interfaces table of contents
Sanibel Island, Florida, USA
SESSION: Demonstration based interfaces table of contents
Pages 177-186  
Year of Publication: 2009
ISBN:978-1-60558-168-2
Authors
Jeffrey P. Bigham  University of Washington, Seattle, WA, USA
Tessa Lau  IBM Almaden Research Center, San Jose, CA, USA
Jeffrey Nichols  IBM Almaden Research Center, San Jose, CA, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 17,   Downloads (12 Months): 115,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1502650.1502677
What is a DOI?

ABSTRACT

For blind web users, completing tasks on the web can be frustrating. Each step can require a time-consuming linear search of the current web page to find the needed interactive element or piece of information. Existing interactive help systems and the playback components of some programming-by-demonstration tools identify the needed elements of a page as they guide the user through predefined tasks, obviating the need for a linear search on each step. We introduce TrailBlazer, a system that provides an accessible, non-visual interface to guide blind users through existing how-to knowledge. A formative study indicated that participants saw the value of TrailBlazer but wanted to use it for tasks and web sites for which no existing script was available. To address this, TrailBlazer offers suggestion-based help created on-the-fly from a short, user-provided task description and an existing repository of how-to knowledge. In an evaluation on 15 tasks, the correct prediction was contained within the top 5 suggestions 75.9% of the time.


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.

 
1
 
2
AxsJAX. Google, Inc. (2008). Http://code.google.com/p/google-axsjax/.
 
3
 
4
Bigham, J. P. and Cavender, A. C. Evaluating Existing Audio CAPTCHAs and an Interface Optimized for Non-Visual Use. In Proc. of the SIGCHI Conf. on Human Factors in Computing Systems (CHI '09), Boston, Massachusetts, 2009. To Appear.
5
 
6
Collins, A. and Loftus, E. A spreading activation theory of semantic processing. Psychological Review, 82 (1975), 407--428.
 
7
Coyne, K. P. and Nielsen, J. Beyond alt text: Making the web easy to use for users with disabilities (2001).
8
9
10
11
12
13
 
14
15
16
17
18
 
19
20
21
 
22
Selker, T. Cognitive adaptive computer help (coach). In Proc. of the Intl. Conf. on Artificial Intelligence. IOS, Amsterdam, 1989, 25--34.
23
24


Collaborative Colleagues:
Jeffrey P. Bigham: colleagues
Tessa Lau: colleagues
Jeffrey Nichols: colleagues