Skip to main content

New in iOS 8: Improved Guided Access with Timers and Touch ID Integration


Guided Access is one of the many iOS features being enhanced in iOS 8. Guided Access is used to keep a someone on a single app using  a password. For example, if you want your child to read a book and not watch a video you can lock them into the reading app, eliminating the ability to navigate to other apps. With Guided Access enabled, a child or student will need a passcode in order to enter another app. To learn more about Guided Access click here.

One of the enhancement allows users to end a Guided Access session with their finger print using Touch ID. Similar to how third-party developers can implement Touch ID authentication, Guided Access will also take advantage of finger print reading technology. Instead of entering a passcode, users with a Touch ID enabled device will be able to end the session simply by placing their finger on the Touch ID sensor. This feature will simplify the processes of ending Guided Access and potentially eliminate the frustration resulting in forgotten passcodes.

The other enhancement allows students and parents to set a time limit. After the time expires the app will not respond until the correct passcode or finger print is entered. Periodically a small message appears showing how much time is remaining. This feature could be perfect for test taking by ensuring students stop answering questions after the allotted time expires, or for setting a time limit for playing games- when the time limit is reached, the app will not respond.

To enable Guided Access navigate to Settings > General > Accessibility > Guided Access.

Comments

Popular posts from this blog

Emergent Cloud Computing Business Models

The last year I wrote quite a few posts on the business models around SaaS and cloud computing including SaaS 2.0 , disruptive early stage cloud computing start-ups , and branding on the cloud . This year people have started asking me – well, we have seen PaaS, IaaS, and SaaS but what do you think are some of the emergent cloud computing business models that are likely to go mainstream in coming years. I spent some time thinking about it and here they are: Computing arbitrage: I have seen quite a few impressive business models around broadband bandwidth arbitrage where companies such as broadband.com buys bandwidth at Costco-style wholesale rate and resells it to the companies to meet their specific needs. PeekFon solved the problem of expensive roaming for the consumers in Eurpoe by buying data bandwidth in bulk and slice-it-and-dice-it to sell it to the customers. They could negotiate with the operators to buy data bandwidth in bulk because they made a conscious decision not to st...

Reveiw: Celluon Epic Laser Keyboard

The Celluon Epic is a Bluetooth laser keyboard. The compact device projects a QWERTY keyboard onto most flat surfaces. (Glass tabletops being the exception) You can connect the Epic to vertically any device that supports Bluetooth keyboards including devices running iOS , Android , Windows Phone, and Blackberry 10. On the back of the device there is a charging port and pairing button. Once you have the Epic paired with your device it acts the same as any other keyboard. For any keyboard the most important consideration is the typing experience that it provides. The virtual keyboard brightness is adjustable and is easy to see in most lighting conditions. Unfortunately the brightness does not automatically adjust based on ambient light. With each keystroke a beeping sound is played which can be turned down. The typing experience on the Epic is mediocre at best. Inadvertently activating the wrong key can make typing frustrating and tiring. Even if you are a touch typist you'll still ...

Rise Of Big Data On Cloud

Growing up as an engineer and as a programmer I was reminded every step along the way that resources—computing as well as memory—are scarce. The programs were designed on these constraints. Then the cloud revolution happened and we told people not to worry about scarce computing. We saw rise of MapReduce, Hadoop, and countless other NoSQL technology. Software was the new hardware. We owe it to all the software development, especially computing frameworks, that allowed developers to leverage the cloud—computational elasticity—without having to understand the complexity underneath it. What has changed in the last two to three years is a) the underlying file systems and computational frameworks have matured b) adoption of Big Data is driving the demand for scale out and responsive I/Os in the cloud. Three years back, I wrote a post, The Future Of The BI In Cloud  where I had highlighted two challenges of using cloud as a natural platform for Big Data. The first one was to create a lar...