The phenomenon of intuitive computing ideally took root over a couple of decades ago; around the time the world entered a new millennium, and computer science was envisioned to dominate the future. The term ‘intuitive’ is technically used to describe something that functions in a logical manner with little or no external help. In the realm of information technology, something as simple as a GUI (graphical user interface) can be considered to be intuitive.
Back in the day, when computers were on their way to becoming a big deal, experts claimed that a new era would soon take shape – the era of intuitive computing. At the time, the concept was described as something in which users will be able to adopt a digital assistant for their daily activities, to carry out actions as per user intent. In essence, intuitive computing systems will be tailored for individual users, and they will be able to understand their needs and ensure they are fulfilled.
Intuitive computing software was then expected to be a part of components that would be designed to monitor the physical environment, learn and analyze past experiences, deploy suitable computational resources, and adopt graphical interfaces for better understanding. They were also expected to make use of strong algorithms to gauge what kind of actions must be taken in complex situations and make use of natural language processing to deliver the best results.
In many ways, it would be prudent to state that quite a bit of this prediction stands true as on today. The fact that intuition can be analyzed and converted into code has become rather commonplace. The scientific community has been working to scrutinize the process of human intuition and replicate the same with AI entities. Despite the concept of intuition being rather subjective, intuitive computing has been consistent subject of research and has been collaboratively deployed across various applications.
An intuitive computing system is capable of performing numerous tasks. Many of these may be constrained and for the short-term, while many others are likely to be longstanding and capable of consuming a huge number of computational resources.
· Intuitive computing systems have the ability to answer user queries and organize information for numerous activities.
· They can be designed to provide suggestions, give warnings, as well as maintain reminders.
· They can help communicate with other computing systems associated with organizations and human beings.
· They can deploy suitable algorithms that will use age-old and heuristic techniques to perform tasks, based on the nature of the issue in hand, accuracy of input data, problem complexity, and resource availability.
· They can be suitably designed and developed to overcome challenges such as striking a balance between resource requirements and the final output as well as choosing the best action in a situation where the system is completely unaware of the external state of affairs.
· In addition, intuitive computing systems help allocate resources as required, mine large amounts of sensory data, and decide on the best course of access to external information sources.
· These systems are also designed to offload computations to other servers as required, in order to expand their capabilities on local devices and reduce response time.
· Depending on resource availability, they can collect and store as much information as possible (when plenty of resources are available) or they can use a suitable model of user intent to allocate resources to vital tasks at hand (when resources are scarce).
An intuitive user experience is rather significant today – this can perhaps be most accurately demonstrated with the instance of Apple. Technically, Apple is not a SaaS provider. And yet, it seems vital to take some lessons here – the iPhone manufacturer currently stands one of the most valuable companies worldwide, primarily due to the highly intuitive experience it provides its customers. The firm ensures to deliver products that are not only well-designed but are also intuitive.
That is to say, it has clearly outlined its product usage formula and guidelines in a way that would not require users to remain on a consistent learning curve. Clearly, Apple’s designers have been able to understand pertinent human behaviors and apply the same in their products. For most parts, it would seem as though they already know what users may be thinking, what question they would want to ask, and what behaviors they may exhibit. Consequently, this results in a vast percentage of satisfied consumers that translates to massive sales and revenue. This is exactly why an intuitive user experience is vital in today’s scenario.
Of course, this cannot be a formulaic method for all establishments, considering the different ways they operate. The crux of the matter here is that intuitive computing needs to become more customary as an intuitive user experience is what keeps customers coming in. Developers will need to focus more on simplifying their SaaS solutions instead of complicating them by combining ease-of-use with an intuitive user experience. In the end, intuitive computing matters most as it is all about creating a product that users can easily understand and learn to use quickly.
In today’s high-profile, inter-networked world, intuitive computing is of utmost importance. In the last many decades, there has been a massive influx of new companies, jobs, and varied experiences. Technology has become a seamless part of everyone’s lives and will continue to be so even in the future. This sums it up for companies – they will have to adapt to this transition smoothly and for that, they will need to as intuitive as possible, from applications ranging across artificial intelligence to IoT and data analytics.
According to reliable statistics, there may be more than 27 billion connected devices the world over, by 2025. To that end, intent-based networking will become more vital than ever, as it would allow for automation at scale, so that companies can manage numerous technologies and devices. To achieve the same, it is important that data be interpreted in the right context; consequently, intuitive computing is what will gather steam here, to gather meaningful insights.
In the years to come, companies will focus on creating technology that is more intuitive; in fact, it is already visible in the form of voice assistants and gesture communication. Intuitive robotic systems are also expected to gain momentum, as companies attempt to build more human qualities into technological components to deliver highly viable results for the future. In essence, intent-based infrastructure is what will remain a significant growth opportunity, and for that intuitive computing will become more indispensable than ever before.