Imagine you have a bunch of different toys in front of you, like a ball, a doll, and a toy car. If someone asked you to compare the ball and the doll, you might think about how they are similar and different. You might say the ball is round and bouncy, while the doll is shaped like a person and can be dressed up in clothes.
The semantic feature-comparison model is a way that scientists use to understand how people compare things like toys or words. They believe that our brains have stored information about what characteristics different things have, and we use this information to compare them.
For example, the word "dog" might be associated with features like "has fur," "has four legs," and "barks." If someone asked you to compare "dog" and "cat," you would think about how they are similar and different based on these features. You might say they are similar because they both have fur and four legs, but different because dogs bark and cats meow.
Scientists think that we do this all the time without even realizing it, and this helps us understand the world and communicate with others. The semantic feature-comparison model is just one way that they try to explain how our brains work when we compare things.