While the term “spatial computing” gained popularity with the release of the Apple Vision Pro, it was actually coined in 2003 by MIT graduate researcher Simon Greenwold. Deloitte identifies three components of spatial computing: physical, bridging, and digital. The hardware for spatial computing is still struggling to meet expectations, with some likening it to the bulky and user-unfriendly 8-track cartridges of the past.
For spatial computing to be widely accepted, the devices need to simplify experiences. For example, a good-looking pair of glasses or contacts that can replace the need for carrying multiple devices everywhere would be more appealing. Currently, there is a discrepancy in acceptance among different segments of the workforce. White-collar technologists already have access to advanced technologies, making a bulky headset feel like a downgrade. On the other hand, blue-collar workers in fields like factory, energy, and field service settings are showing early interest due to the potential benefits in their work environments.
Spatial computing requires essential infrastructure, similar to how the internet relies on transmission lines and switches. Deloitte refers to this as the “spatial web,” which bridges the gap between the physical and digital worlds. Sensor fusion plays a crucial role in making sense of the vast amount of data collected by wearable devices and sensors. Various technologies such as lidar, micro-LEDs, computer vision, and advanced motion sensors contribute to the development of spatial computing.
The future of spatial computing includes transparent screens that allow users to look through them, making digital overlays on the physical world more believable and seamless. Eventually, digital experiences will become multisensory, replicating all five senses and potentially introducing a “sixth sense” through neurotechnology. Deloitte predicts that people will interact with public digital objects, hyper-personalized ads, and even have the ability to “edit” reality by removing certain elements.
Digital twins, which create virtual representations of physical objects, have been around for some time. However, true digital twins actively receive real-time data from the physical world, enabling a range of experimental use cases. Privacy and security are among the concerns associated with spatial computing, as it can inadvertently lead to invasive surveillance and monitoring. The distortion of reality is another concern, with the potential for smart contacts to create believable deepfakes.
Overall, spatial computing has the potential to revolutionize accessibility, efficiency, and communication, while also enhancing personalization. It is important to approach emerging technologies with a balanced perspective, acknowledging both the positive and negative aspects rather than treating them as extreme heroes or villains.
