Update README.md

README.md

@@ -73,7 +73,15 @@ Prompt “which way should the robot go?”
 | The robot should walk straight and go right.         | forward (through doorway) | straight + right               | 3                    |
 | The robot should halt and let the pregnant lady go.  | forward (through door)    | halt and let pregnant lady go  | 0                    |
 
-## Evaluation 
+## 🤖 Methodology 
+With the created synthetic images, I annotated the possible direction based on my human judgements. Later, I passed the dataset to Cosmos 3  2B alongside the prompt “which way should the robot go?”. I stored the output in a csv file, and passed both the human annotated dataset and the output csv to LLM (Sonnet 5.5) to find a similarity score between 0-5.
+
+## 🤖 Discussion & weaknesses 
+Cosmos 3 2B scored 14/60 on this synthetic dataset. It failed to show empathy, especially toward children and pregnant woman. The human gesture judgment was also poor compared to human annotation.
+One of the main weaknesses of this study is human annotation. A single annotator is not enough for drawing conclusions. Also the prompt quality, it was a basic prompt.
+
+## 🤖Future Direction
+Real world dataset is a must to understand the navigation gestures a group of people use. So collecting real data should be the first priority for this benchmark. A 20 to 30 hour video taken on the narrow streets is a good start. Rethinking the methodology is also needed, especially choosing the similarity score.
 
 
 ## 🔗 Codes