Research technologies combine artificial intelligence, psychophysiology, and statistical modeling to help us understand user experience in terms of how we move, see, and feel in the environment.
Move – How users move through the space
Pedestrian Flow Simulation software models user behaviour using flow analysis. As simulated users move through a designated space, their movement and behaviour is tracked and recorded to inform subsequent wayfinding and design strategies.
By applying pedestrian flow simulation modeling to an existing environment, we uncover the paths and routes users will take, identify problem areas such as bottlenecks, confusing decision points and unclear corridors.
See – Where users look and focus attention
Entro Eye-Tracking Assessment utilizes a specialized research technology to determine where users are looking in the environment. By understanding what catches the user’s attention, we can design and place signage to effectively communicate with users.
We apply eye-tracking technology to an existing environment, we can determine areas that are either distracting or ignored and identify strategic locations for graphic communications. By combining eye-tracking and pedestrian flow simulation, we can test both how design interventions will attract users and how this will shape their movement through the space.
Feel – How users think and feel
Entro Assessment Quotient (AQ) is proprietary software that utilizes a suite of computer vision and machine learning algorithms to predict and quantify how an environment will make users think and feel.
Existing environments can be analyzed using Entro AQ to uncover areas that are overly complex, difficult to navigate, unpleasant, and stressful. During the design process, Entro AQ can test concepts and provide us with a performance metric that compares how various concepts will be experienced cognitively and emotionally, to ensure that the environment is enjoyable, stress-free, and intuitive.