The directional derivative of a scalar field \( V(x, y) \) at a point \( (x_0, y_0) \) in the direction of a unit vector \( \hat{u} \) is given by:
\[
D_{\hat{u}} V = \nabla V \cdot \hat{u}
\]
First, compute the gradient:
\[
\nabla V = \left( \frac{\partial V}{\partial x}, \frac{\partial V}{\partial y} \right) = (2x + 1, 2y)
\]
At the origin \( (0, 0) \):
\[
\nabla V(0, 0) = (1, 0)
\]
Next, the direction vector from origin to point \( (1, 2) \) is:
\[
\vec{v} = (1, 2) \Rightarrow \hat{u} = \frac{1}{\sqrt{1^2 + 2^2}}(1, 2) = \left( \frac{1}{\sqrt{5}}, \frac{2}{\sqrt{5}} \right)
\]
Now compute the directional derivative:
\[
D_{\hat{u}} V = \nabla V \cdot \hat{u} = (1, 0) \cdot \left( \frac{1}{\sqrt{5}}, \frac{2}{\sqrt{5}} \right) = \frac{1}{\sqrt{5}} \approx 0.447
\]
\[
\boxed{{Rounded answer lies between } 0 { and } 1}
\]