ANALYSIS-BASED LEARNING IN HUMAN-COMPUTER INTERACTION

摘要: A model based on recent advances in machine learning can shed light how people learn about unfamiliar systems from demonstrations. The uses simple heuristics to assign causal roles user actions a demonstration, and then forms new procedures for related goals using this analysis. Empirical studies have provided support the general framework of model, though many important specifics are unresolved. supporting results provide some guidance design that will be easy