Evacuating a packed arena in an emergency isn't an easy job.

A digital twin is a virtual version of an existing process or system.
Migration is a twin that imitates the existing security system by performing daily crowd surveillance, monitoring system health and generating paths for evacuation.

TeamChatumini Kodikara - Product Designer
Thomass Muir - Product Manager
Grace Yang - Product Designer
Isabelle Ly - Business Analyst
Emily Fong - UX/UI Designer

Time FrameJan. 2023 - Apr. 2023

OrganizationRogers 5G Create Lab, Stratford School of Interaction Design

Role Overview: Product Designer
  • Moderated user testing with end users and industry experts and guided users through tasks
  • Ideated and explored the feasibility of the sensor system within the digital twin
  • Collaborated with other designers to deliver a high-fidelity prototype, responsible for designing the
    UI for the sensors
Header image

How might we improve the security and evacuation procedures at large-scale venues to guarantee the safety of attendees?

Establishing the problem space: Why are we solving this problem?


According to Deloitte’s “The Stadium Experience” study, about 75% of stadium-goers cite easy navigation and accessibility as a priority. To enable this experience, arena managers employ security teams to manage the safety and security of visitors.

Would you be able to get everyo

Getting to know our users: Research goals and outcomes

In order to establish the user and explore the problem space, we conducted initial user interviews and secondary research.

To understand the processes taken in security, we talked to Karan Gill, a security manager at Paladin Security Kitchener.

Key insights:
  • Venues usually hire different security teams for jobs. The services are constantly being switched out.
  • Security teams primarily communicate with walkie-talkies. They will always keep their phones on them for communication.
  • There will always be someone managing the video feed in the booth of the arena. That person usually has seniority and can contact everyone on the floor.
  • Security guards usually travel on foot, in outdoor events they might have a vehicle.

To consolidate this research, we created this persona.

Large arenas lack an overview of their crowd and security system resulting in inefficient safety protocols and disaster prevention during emergencies.

User + need + goal
Karan, a hard-working security guard needs a safe, controlled environment for monitoring and assessing problems within a crowd in order to improve confidence and readiness to optimise team response time for protecting concert attendees.

Building the solution

Product goal:
Allow security teams to monitor, assess problems and improve response time.

Solution:
Building a digital twin of the arena system to connect security teams to live arena data.

What is a digital twin?

A digital twin is a virtual representation of a process or system that spans its lifecycle. It is updated using real-time data and uses simulation, machine learning, and reasoning to help decision-making. (IBM Definition)

Storyboarding: Mapping out potential situations

Inventing away: Ideating features

Our end users are the security guards and managers in arenas. The system we design will be a digital twin of the existing process that security guards use to manage an arena.

Initial Feature List:

Crowd Monitoring

Emergency Protocols

Adaptive Wayfinding

Prediction Learning

Security teams can monitor crowd density and movement

Security teams can easily alert local city departments to the scene.

Security managers can create paths for users to read and use to navigate.

The system will not only generate a report but, suggest ways to improve in the future.

Feasibility: Understanding the technology

We went back to the drawing board (study room whiteboard) to ideate specific situations and sensor technologies to achieve the features we had in mind.

Ideating the experience: Initial low-fidelity screens


Talking to users: Usability testing

We conducted our first round of user testing with mid-fidelity wireframes. Each test was a moderated exploration of the prototype. Users were given the following tasks to answer:


Mid-fidelity screens used for testing

Debriefing after testing: Mapping feedback

We received a fair amount of feedback from the 5 users we tested with. We organized our data below.

Bringing it to life: Developing a high-fidelity prototype

Using the feedback from testing and additional secondary research, we dived headfirst into creating a high-fidelity prototype. We expanded our designs outside of the basic user tasks to accommodate for errors, confirmations and additional screens.

View components for the sensors within the sensors map.

Hi-fidelity screens: Mapping out data

Our digital twin uses maps to communicate and visualize the data it collects. We were inspired to implement this way after seeing digital twins for smart cities that switch between 2D and 3D maps to portray sensor-generated data.

Sensor map

  • Uses electrical power sensors to collect data.
  • Finds sensor issues and malfuntions
  • Displays alerts and sensor locations for specific issues.

User story:

As a security personnel, I would like to address the alert and location of a sensor in the stadium.

Tracking map

  • Uses infrared and camera sensors to track crowd movement.
  • Infrared sensors count individuals as dots.
  • Vision AI analyzes data for crowd counting and movement tracking.

User story:

As a security personnel, I would like to track the route of a malicious individual through the stadium.

Density map

  • Uses thermographic sensor data to track crowd movement and behaviours.
  • Creates accurate crowd simulations and wayfinding systems.

User story:

As a security personnel, I would like to monitor the density of a crowd over the course of an event.



Viewing it in action: Prototype walkthrough

Final Presentation

We had under 5 minutes to pitch this presentation to the representatives at Roger's 5G create lab. Our business analyst on our team added key product marketing and business goals to give our product not only a competitive advantage but, solidify how it would further innovation at Rogers.

Impact: Measuring success

If this product was implemented, our business analyst predicted the following impact: