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Search for efficient device-dependent action sequences in the user interface
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 8th international conference on Intelligent user interfaces table of contents
Miami, Florida, USA
POSTER SESSION: Accepted Posters table of contents
Pages: 297 - 299  
Year of Publication: 2003
ISBN:1-58113-586-6
Authors
A. Simpson  North Carolina State University, Raleigh, NC
Robert St. Amant  North Carolina State University, Raleigh, NC
Sponsors
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 22,   Citation Count: 0
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ABSTRACT

This paper describes a design tool, under development, that identifies efficient low-level action sequences in the user interface, accounting for the relationships between the physical properties of an input device and the requirements of primitive tasks. A device representation and a task taxonomy are presented. These, along with a library of efficiency measures for specific devices, provide information to steer search through the space of action sequences.


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
Stuart K. Card , Jock D. Mackinlay , George G. Robertson, A morphological analysis of the design space of input devices, ACM Transactions on Information Systems (TOIS), v.9 n.2, p.99-122, April 1991  [doi>10.1145/123078.128726]
 
2
James D. Foley , Victor L. Wallace , Peggy Chan, The human factors of computer graphics interaction techniques, IEEE Computer Graphics and Applications, v.4 n.11, p.13-48, Nov. 1984

INDEX TERMS

Keywords:
modeling, task analysis

Collaborative Colleagues:
A. Simpson: colleagues
Robert St. Amant: colleagues

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