Affiliation:
1. University of British Columbia, Canada
2. University of Toronto, Ontario, Canada
Abstract
Two approaches for supporting personalization in complex software are system-controlled adaptive menus and user-controlled adaptable menus. We evaluate a novel interface design for feature-rich productivity software based on adaptable menus. The design allows the user to easily customize a personalized interface, and also supports quick access to the default interface with all of the standard features. This design was prototyped as a front-end to a commercial word processor. A field experiment investigated users' personalizing behavior and tested the effects of different interface designs on users' satisfaction and their perceived ability to navigate, control, and learn the software. There were two conditions: a commercial word processor with adaptive menus and our prototype with adaptable menus for the same word processor. Our evaluation shows: (1) when provided with a flexible, easy-to-use and easy-to-understand customization mechanism, the majority of users do effectively personalize their interface; and (2) user-controlled interface adaptation with our adaptable menus results in better navigation and learnability, and allows for the adoption of different personalization strategies, as compared to a particular system-controlled adaptive menu system that implements a single strategy. We report qualitative data obtained from interviews and questionnaires with participants in the evaluation in addition to quantitative data.
Publisher
Association for Computing Machinery (ACM)
Subject
Human-Computer Interaction
Reference44 articles.
1. Browne D. Totterdell P. and Norman M. Eds. 1990. Adaptive User Interfaces. London: Academic Press Ltd. London UK. Browne D. Totterdell P. and Norman M. Eds. 1990. Adaptive User Interfaces. London: Academic Press Ltd. London UK.
2. Campbell D. T. and Stanley J. C. 1972. Experimental and Quasi-Experimental Designs for Research. Rand McNally & Company Chicago IL. Campbell D. T. and Stanley J. C. 1972. Experimental and Quasi-Experimental Designs for Research. Rand McNally & Company Chicago IL.
3. Blocking Learner Error States in a Training-Wheels System
Cited by
20 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献