GOMS Model

Cards in this group · 5

1. B4.11.1The analyzed object is a fixed method; exploration, hesitation, and learning are outside the model
2. B4.11.2When multiple methods exist for one goal, correct selection rules determine whether predictions hold
3. B4.11.3Decomposition granularity is optional, but alternative rankings should remain consistent across granularities
4. B4.11.4The model does not predict error rate, satisfaction, or learnability
5. B4.11.5Modeling cost is high; returns are positive only for high-frequency repetitive tasks