New devices are considered intuitive when they allow users to transfer prior knowledge. Drawing upon fundamental psychology experiments that distinguish prior knowledge transfer from new schema induction, a procedure was specified for assessing intuitive use. This procedure was tested with 31 participants who, prior to using an on-board computer prototype, studied its screenshots in reading vs. schema induction conditions. Distinct patterns of transfer or induction resulted for features of the prototype whose functions were familiar or unfamiliar, respectively. Though moderated by participants' cognitive style, these findings demonstrated a means for quantitatively assessing transfer of prior knowledge as the operation that underlies intuitive use. Implications for interface evaluation and design, as well as potential improvements to the procedure, are discussed.
SCREENING PROTOTYPE FEATURES IN TERMS OF INTUITIVE USE 257 this strategy is not only to save time in development but also to ensure that redesign efforts translate into tangible benefits. Modern (e.g. agile) development frameworks recommend that products be specified, developed and tested through short 'Retrieved March 2014 at http://iscat.stefciu.del.
A method is presented for generating informative and naturalsounding infotips for graphical elements of a user interface. A domain-specific corpus is prepared using natural language processing techniques, and a termfrequency/inverse-document-frequency transform is used for vectorization of features. A k-means algorithm is then used to cluster the corpus by semantic similarity and retrieve the most similar infotips for any inputted interface label. We demonstrate the feasibility of this method and conclude by proposing several approaches to improve the selection of infotips by incorporating natural language processing and machine learning techniques.
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