Cons of Neuromorphic Designs
- Complexity: These type of design interfaces are complex and require a good amount of time for data collection. It is really difficult to form a system that mimics human brain because of which this is still in its earlier stage.
- Privacy Issues: As these designs require a good amount of user data to perform suggesting something a user is thinking may create a feeling of privacy breach in the minds of users. Today many companies are also using unethical ways to collect such data through mics and cameras of devices.
- Overwhelming and distracting: Too much of dynamic animations and behaviors, can distract users from the main content which can lead to reduced usability and user frustration.
- Incompatibility: Neuromorphic designs may be incompatible with many existing UI design systems. Hence, may require creation of UI design from scratch in many fields.
- Data Collection Issues: It is difficult to make the user trust that there data is not going to be used in wrong way. Plus, as the brain thinking is diverse due to many ecological, cultural or political factors and many more other reasons, it is really difficult to collect a data that resonates with everyone. As wrong data collection may lead to non-friendly design systems.
Neuromorphic Design – Blurring the Lines Between UI and Reality
In the era of UI/UX design, brands want to create a more comfortable and natural user experience. To do so they take inspiration from the environment and how a human interacts with it. Today many big brands and institutions are investing a huge amount of money just to understand the human brain and how it processes things around it. They are trying to bring real interactions into the digital world minimizing the gap between UI and reality. These types of research and approaches used have given birth to a new concept in UI design i.e. Neuromorphic Design – An approach that connects neural analysis of the brain (neuroscience) with design.