Design with Neuroscience and AI
One of the major techniques used in neuromarketing research is eye tracking. But conducting an eye tracking study is not possible for all as it requires hardware or cameras, users, take days or weeks, and costs a lot. Predictive eye tracking uses algorithms and simulates human vision and predicts where users will focus their attention on your design. It allows you to measure the visual impact of your designs such as digital ads, website, packaging, etc.
Predictive eye tracking models are able to accurately interpret how a typical user would scan any ad/webpage when they first arrive, typically what people will automatically see or miss in the first 3-5 seconds. Dhiti AI simulates human vision and predict what people will automatically see or miss in the first few seconds. It predicts where users will focus their attention on your design.
Deep Learning AI
Based on artificial intelligence and inspired by neuroscience. An artificial neural network predicts how and what users will perceive in the first 5 seconds of viewing. Analysis employs algorithms from the neuroscience of natural vision processing, computational attention, eye-tracking sessions data.
Neuroscience deals with how the brain works. It helps to understand how your users perceive, process and respond to your design. It deals with how our brain works, describing visual saliency, perception and cognition of humans.
Each of the reports showcases heatmap analysis which highlights the aspect of user brain activity and demonstrates how cognitive principles can be applied to your design to ensure they are communicating. Get insight into how users will engage with any ads and web design, on any device, before you go live.