An Empirical Study of Computer System Learning: Comparison of Co-Discovery and Self-Discovery Methods

摘要: This paper reports a study that examined two types of exploratory computer learning methods: self-discovery vs. co-discovery, the latter which involves users working together to learn system. An experiment was conducted compare these methods and results were interpreted within mental model framework. Co-discovery subjects better than at making inferences about capability extended functions Furthermore, while by themselves after an initial period learning, they performed in similar, though more complex task one encountered phase. Process tracing analysis showed focused on surface structures, such as detailed physical actions, for implementing task. On other hand, co-discovery groups relating lower level actions higher goals. Therefore, had understanding relationships between goals, hence formed models with inference potential subjects.