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What role can adaptive support play in an adaptable system?
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 9th international conference on Intelligent user interfaces table of contents
Funchal, Madeira, Portugal
SESSION: Intelligent assistance table of contents
Pages: 117 - 124  
Year of Publication: 2004
ISBN:1-58113-815-6
Authors
Andrea Bunt  University of Bristish Columbia, Vancouver, B.C., Canada
Cristina Conati  University of Bristish Columbia, Vancouver, B.C., Canada
Joanna McGrenere  University of Bristish Columbia, Vancouver, B.C., Canada
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
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Downloads (6 Weeks): 12,   Downloads (12 Months): 93,   Citation Count: 8
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ABSTRACT

As computer applications become larger with every new version, there is a growing need to provide some way for users to manage the interface complexity. There are three different potential solutions to this problem: 1) an adaptable interface that allows users to customize the application to suit their needs; 2) an adaptive interface that performs the adaptation for the users; or 3) a combination of the adaptive and adaptable solutions, an approach that would be suitable in situations where users are not customizing effectively on their own. In this paper we examine what it means for users to engage in effective customization of a menu-based graphical user interface. We examine one aspect of effective customization, which is how characteristics of the users' tasks and customization behaviour affect their performance on those tasks. We do so by using a process model simulation based on cognitive modelling that generates quantitative predictions of user performance. Our results show that users can engage in customization behaviours that vary in efficiency. We use these results to suggest how adaptive support could be added to an adaptable interface to improve the effectiveness of the users' customization.


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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CITED BY  8

Collaborative Colleagues:
Andrea Bunt: colleagues
Cristina Conati: colleagues
Joanna McGrenere: colleagues