Press "Enter" to skip to content

AR and VR in Data

Corrinna Peters differentiates augmented reality from virtual reality:

Virtual Realty (VR) and Augmented Reality (AR) is everywhere, with a broad variety of applications across many industries, and the potential to revolutionise many others. The potential of VR and AR technology is endless and drives digital transformation. Lots of market research studies are projecting that VR and AR is forecasted to grow exponentially in the next few years. With this in mind, the questions people are starting to ask themselves are – what does this mean for me? What does this mean for my business? How will this change data and analytics? What are the differences?

In the medium term, I am quite pessimistic on the topic. There are specific use cases where virtual reality can be interesting, such as a virtual house walk-through. But for the most part, the problem with VR is that optical quality is still not good enough, meaning that a lot of people struggle to use a VR headset for more than an hour or so before getting nauseous. There are also problems with the lack of tactile sensation (and haptic feedback can only go so far) and ergonomic challenges when you’re constantly raising your arms to perform actions.

Augmented reality has an easier sell, though, in cases where you’re willing to hold a phone or tablet up against something. For this scenario, think museum pieces, where you hold the phone up and get more information about the piece, artist, and style. Google does have AR for walking directions, with the cost of burning a whole bunch of battery life. But the general failure of HoloLens and wearable AR devices, as well as the inherent privacy concerns from flashing your active camera around crowded areas, dampen the mood a bit for AR.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.