An investigation of user performance enhancement for computer-based management information systems using an adaptive user interface

The purpose of this study was to examine relationships between users' attitudes toward computers, knowledge of computers, task and interface learning performance, and the man-machine interface characteristics. The premise of this study was that a computer user may be initially classified as a novice, but that classification of expertise may change over time. The Management Information Systems (M.I.S.) literature suggest various interface characteristics for novice users which often differ from the characteristics suggested for an experienced user. This empirical study investigated the impact of using an adaptive user interface which evolves over time to match the skill level of the user. Three user interface models were developed for this study. The novice and the experienced interfaces followed human factor design considerations suggested in the M.I.S. literature. The adaptive user interface model commenced with the characteristics suggested for a novice interface and evolved through an intermediate stage to eventually become an experienced interface. The results indicate that the type of interface impacts user performance, and that matching the interface characteristics with the level of computer knowledge improves performance. In addition, users' attitudes toward computers accurately predicted the subjects' level of computer knowledge. Finally, the adaptive user interface also improved performance, regardless of the level of computer knowledge. Results of this study have important implications for system designers, managers, user trainers, and researchers. M.I.S. literature was supported with regard to the interface characteristics for both novice and experienced users. However, the previously suggested impact of computer knowledge on performance was not substantiated.