A short while ago Craig Rentzke from Helpshift pointed me to a particular episode of CXOTalk, featuring Kevin Henrikson of Microsoft and professor Anindya Ghose from NYU. Henrikson is responsible for Microsoft’s Outlook for Mobile, a personal information manager (PIM) app, whereas prof. Ghose comes more from a B2C angle, with B2C being more concerned with convenience. This interesting episode deals with the future of mobile computing and given that, apparently about how mobile apps will (have to) look like and what it is that vendors should do and what they should not do with the apps.
The Now
Naturally, the discussion immediately zeroed in on two topics- the purpose of the app
- and data
The Then
I do think that both discussion partners did not look far enough into the future of what mobile apps will be. They remained on grounds within the current paradigm, which is a mobile app that serves a specific purpose and that resides on a mobile device- aka smartphone, competing for real estate on the phone’s main screen. Yes, that paradigm covers more use cases than currently deployed, including food and drink ordering from the airline app to the flight attendants without reaching out for the button on the ceiling or using the built-in screens – if they are there at all. And this describes only one possible user initiated use case in one particular industry. Still, this paradigm is challenged already now.- It is hard to make users use an app for a longer time, think of (re-) engagement campaigns
- Mobile devices are powerful enough to not require specific - very limited - app functionalities that serve one purpose. Think of apps become multi-purpose again
- The single 2D screen itself becomes less important, think of smart watches, wearable sensors, AR, VR, and holograms
- Scalability becoming a main theme. Think automation and bots
- Interaction metaphors, other than those limited to a 2d screen are emerging – think of voice, conversations, eye tracking
- Apps are becoming intelligent. Think of artificial intelligence, in particular deep learning
- And then there is the Internet of Things.

