A System for Generating Device-Specific Action Sequences

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dc.contributor.advisor Robert St. Amant, Committee Chair en_US
dc.contributor.advisor Christopher G. Healey, Committee Member en_US
dc.contributor.advisor James Lester, Committee Member en_US
dc.contributor.author Simpson, Clarence Adriano en_US
dc.date.accessioned 2010-04-02T18:16:41Z
dc.date.available 2010-04-02T18:16:41Z
dc.date.issued 2003-11-21 en_US
dc.identifier.other etd-11042003-214704 en_US
dc.identifier.uri http://www.lib.ncsu.edu/resolver/1840.16/2704
dc.description.abstract As computing devices become more varied and complex, it has been shown that it is useful, perhaps even essential, to begin describing elements of human-computer interaction in more abstract terms. Much of the literature has focused on specific cases of interaction involving certain input devices, tasks, and operating system environments. However, it has thus far been taken for granted that the mapping between the controls on an input device and the low-level tasks being executed with the device are an optimal mapping. We present a system for generating this optimal mapping by classifying input devices and low-level tasks based on the proposed taxonomies, then using a knowledge base to determine the efficiency of using certain classes of input device controls to perform certain classes of tasks. We also present some preliminary work in the use of user modeling to account for cognitive and psychological factors such as user control preference and the relation between action sequence complexity and human memory. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject Device Taxonomies en_US
dc.subject Task Taxonomies en_US
dc.subject Efficiency en_US
dc.title A System for Generating Device-Specific Action Sequences en_US
dc.degree.name MS en_US
dc.degree.level thesis en_US
dc.degree.discipline Computer Science en_US


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