A field evaluation of an adaptable two-interface design for feature-rich software

Author:

McGrenere Joanna1,Baecker Ronald M.2,Booth Kellogg S.1

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.

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3. Blocking Learner Error States in a Training-Wheels System

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