ACM Home Page
Please provide us with feedback. Feedback
Enabling context-sensitive information seeking
Full text PdfPdf (9.92 MB)
Source International Conference on Intelligent User Interfaces archive
Proceedings of the 11th international conference on Intelligent user interfaces table of contents
Sydney, Australia
SESSION: Multimedia and multimodality table of contents
Pages: 116 - 123  
Year of Publication: 2006
ISBN:1-59593-287-9
Authors
Michelle X. Zhou  IBM T. J. Watson Research Center, Hawthorne, NY
Keith Houck  IBM T. J. Watson Research Center, Hawthorne, NY
Shimei Pan  IBM T. J. Watson Research Center, Hawthorne, NY
James Shaw  IBM T. J. Watson Research Center, Hawthorne, NY
Vikram Aggarwal  IBM T. J. Watson Research Center, Hawthorne, NY
Zhen Wen  IBM T. J. Watson Research Center, Hawthorne, NY
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): 12,   Downloads (12 Months): 80,   Citation Count: 4
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/10.1145/1111449.1111479
What is a DOI?

Warning: The download time has expired please click on the item to try again.


ABSTRACT

Information seeking is an important but often difficult task, especially when it involves large and complex data sets. We hypothesize that a context-sensitive interaction paradigm would greatly assist users in their information seeking. Such a paradigm would allow users to both express their requests and receive requested information in context. Driven by this hypothesis, we have taken rigorous steps to design, develop, and evaluate a full-fledged, context-sensitive information system. We started with a Wizard-of-OZ (WOZ) study to verify the effectiveness of our envi-sioned system. We then built a fully automated system based on the findings from our WOZ study. We targeted the development and integration of two sets of technologies: context-sensitive mul-timodal input interpretation and multimedia output generation. Finally, we formally evaluated the usability of our system in real world conditions. The results show that our system greatly improves the users' ability to perform practical information-seek-ing tasks. These results not only confirm our initial hypothesis, but they also indicate the practicality of our approaches.


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
 
3
4
5
 
6
 
7
 
8
9
 
10
K. Houck. Contextual revision in information-seeking conversation systems. In Proc. ICSLP '04, pages 201--204.
 
11
 
12
13
 
14
 
15
 
16
 
17
 
18
 
19
 
20
S. Oviatt. Multimodal interactive maps: Designing for human performance. Human-Computer Interaction, 12:93--129, 1997.
 
21
S. Pan. A multi-layer conversation management approach for information-seeking applications. In Proc. ICSLP '04, pages 245--248.
 
22
S. Pan and J. Shaw. SEGUE: A hybrid case-based natural language generator. In Proc. INLG '04, pages 130--140, 2004.
23
24
25
26
27
 
28
 
29
M. Zancanaro, O. Stock, and C. Strapparava. Multimodal interaction for information access: Exploiting cohesion. Computational Intelligence, 13(7):439--464, 1997.
30
 
31
M. Zhou and M. Chen. Automated generation of graphic sketches by examples. In IJCAI '03, pages 65--71.
32


Collaborative Colleagues:
Michelle X. Zhou: colleagues
Keith Houck: colleagues
Shimei Pan: colleagues
James Shaw: colleagues
Vikram Aggarwal: colleagues
Zhen Wen: colleagues