Bring AI UX Testing to Life with Visualization

Now that your AI UX testing agents are moving inside a grid, it’s time to visualize them in action. Mesa provides a built-in browser-based viewer to help simulate and debug user flows.

Table of Contents

Step 1: Create the Visual Server

In server.py, set up the visualization:

from mesa.visualization.modules import CanvasGrid
from mesa.visualization.ModularVisualization import ModularServer
from mesa.visualization.UserParam import UserSettableParameter

from model import UXModel
from agent import UserAgent

def agent_portrayal(agent):
    portrayal = {
        "Shape": "circle",
        "Color": "blue",
        "Filled": "true",
        "r": 0.5
    }
    return portrayal

grid = CanvasGrid(agent_portrayal, 10, 10, 500, 500)

server = ModularServer(
    UXModel,
    [grid],
    "AI UX Testing - User Simulation",
    {"num_agents": 5, "width": 10, "height": 10}
)

Step 2: Launch the Visualization

Update your run.py to use the server:

from server import server

server.port = 8521
server.launch()

Run the app:

python run.py

This will open a new tab in your browser at http://127.0.0.1:8521 where you can see the agents move in real time during your AI UX testing simulation.

Understanding the Output

Each circle on the grid represents a user navigating your app. This is a simplified UX simulation, but it’s foundational for more complex actions like clicking buttons, filling out forms, or getting stuck on steps—coming in the next tutorials.

Customize the Behavior

Want to test user frustration? Try:

Adding “error” zones in the grid
Changing movement patterns when agents hit a boundary
Simulating dwell time or delays

Up Next: Simulating Real Tasks

Tomorrow, we’ll simulate real user tasks like logging in or clicking through a signup process using rewards and reinforcement learning.

Tag: #AIUXTesting #PythonVisualization #UXSim

Post Views: 16