Will you agree that 2018 is the year of IoT, AI and AR? And when the combination of AI and AR is transforming almost every industry: do you think it has something in store for the mobile application development space? It sure does
As demand for smarter, robust and more intuitive mobile applications continue to upsurge at the velocity of knots, app developers will look to fancy the mingle of augmented reality, artificial intelligence and more vigorous security models to bridge that gap in 2018.
With the recent surge in public cloud computing trends, smartphones have become the focal point of app development.
And with SMBs as well as large enterprises looking to sustain and nurture mobile development resources for years to come, the manner in which they do so are likely to evolve drastically in 2018.
Mobile application development has always, traditionally, focused on getting the max out of the limited-size screen of a mobile device to revamp and accentuate the way users request and access information on the roads vs.
while at their desks.
With the boom in social media and m-commerce, smartphones have emerged as the preferred device to receive hot discounts, running live events, and all hot and happening stuff nearby. In this novel ecosystem, users communicate with their smartphones almost seamlessly, and react to the ‘available stuff’.
And this ‘reactive’ model of the smartphone industry will steer the next big thing in mobile application development trends.
Let’s have a look at some of the top mobile app development trends likely to rock in 2018:
- Advanced mobile security to gain a never-seen-before attention:
The top two mobile application development trends to watch out for in 2018 are: Role- and Mission-based Security.
For productivity apps, there is an urgent need for security to be revamped drastically from today’s application and account model. Reinforcing the security of mobile apps will certainly be high on the priority list of any mobile app development company in 2018.
When users execute a task, they must be provided with the required information rights.
By implementing a module called ‘Roles’, devs have actually stepped out to achieve this goal. With ‘Roles’, IT admins can easily assign the required ‘Rights’ to individual users, or a specific group of users, and to categorize users in specific roles as per their individual job requirements.
And it clearly means that it’s time now to take the next leap.
Mission-based security relates to how a user is assigned a role by the IT admin team. A “Mission”, or an assignment inherits a connection between a user and role, which, in turn, creates a connection between a user and application/information access.
A user can be assigned an assignment temporarily, on the basis of mission requirements, and it accentuates the traditional “Role-based security”.
2. Contextual information
Another important trend accompanying “Reactive user experience” relates to contextual filters. A user engaged in a specific system or task that might be too critical, complex or simply, engaging, will never want to be disturbed only to be notified that another user is nearby – unless the user is in quest of assistance.
And that’s what makes the concept of the Internet of Things (IoT) so complex; as programmers just can’t afford to push sensor data randomly towards people.
There’s an urgent need of them to figure out the exact information a user needs, and the crunch time when he or she needs it, or else productivity of the system is at stake.
In 2018, smartphone users will start their critical journey to becoming a ‘middleware’; consider a virtual agent within a vessel that stands for each user.
To achieve this model, a programmer must represent each user as explicit system: similar to an autonomous element.
The concept behind this model is to figure out what a user currently does, in terms of information receptivity for the least.
Quite a few mobile apps have, already, started implementing this; however, it doesn’t make much sense to implement this at an app-level and - therefore – it is very important that developers start modelling the user as an explicit system.
This user-as-middleware model will steer one of the other major and promising trends in mobile app development in 2018 : i.e. AI and augmented reality (AR) versus Smarter Interfaces.
3. AI and AR
Information will always tend to interrupt users while they might be busy on a critical system or task, unless the developers apply some type of filter. Using Artificial Intelligence and certain preset policies, a software agent can categorize incoming events and then decide to either pass them over to the user or defer them.
In general, the major challenge with this sort of filtering is that it gets tough to decide what a particular event signifies and what’s the existing context or sensitivity of the event to the user. And that’s where artificial intelligence can come handy.
AI caters to both these needs as it “learns” what is distracting a user and what he or she actually needs. For instance,
For instance, a user positioned at an electrical circuit board, asking for a related circuit diagram, is perhaps least interested in any information other than that related to the circuit.
Here, Augmented Reality (AR) particularly devotes itself to tasks related to circuit diagram and layouts. If the hypothetical user in our example has a circuit diagram superimposed on the actual casing of the circuit board through AR, it’d help him extensively in finding the right connections to resolve the current issue.
Augment Reality has almost infinite capabilities, given that you can take charge of the sync and the balance between the real and virtual world.
The introduction of AR & AI to smartphone users will be based on the worker-as-middleware ecosystem, and it’s highly important that the model has complete understanding of what the worker does.
Some of this information can be derived from smartphones in the form of worker or user requests for information and from user location and motion. In addition, additional information can be derived from nearby IoT sensors.
After gathering available information, the system needs to digest and analyze the data outside the smartphone to develop a clear, extensive picture of the space around the user or worker, as in our hypothetical situation above.
In general, mobile app development approach has become outwardly pedestrian, targeting the form rather than the substance. However, mobile app development trends in 2018 as discussed in this brief will transform things big time.
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