Seven visions of how to reconcile the future of humanity through the design of the new augmented reality

By 2030, PWC estimates that 70% of global GDP growth will come from artificial intelligence, the edge, tens of billions of machines, computing, sensing, and real-time learning. How we as humans, billions of people, deal with those machines is a whole new world and how these machines, billions of them talk and work with each other and we are a whole new perspective on the collision paths of technology and the human experience. It is unlikely that we will be able to avoid these challenges because all of us will need to work, play, and live with and around these new almost life-form machines.

The design principles for this new world of 2033 and beyond require us to reconnect the way we have rapidly evolved with our minds through web technology and into the future with a software-centric world with the ways we have evolved (much more slowly) using our empathy. If we cannot address this evolutionary imbalance, we are delivering on the promise of these technologies to provide hope, better health, and a more abundant environment through machines, software, and human interaction. Seven key insights from the podcast represent interesting perspectives on our future world:

We have so far gone through four eras of industrial existence. From millions of years of hunting to thousands of years of farming through a few hundred years of industrial production and then just seventy years of technology. In the following era, the Enhanced Age will be necessary to deliver a greater set of values ​​to the over eight billion world population and a world of strained resources.

We are moving from the Moore’s Law eras of the late twentieth century to the software industry that unlocks human potential in the twenty-first century where the power of design and delivery is amplified by new paradigms of design and experience.

Daniel Kahneman, a Nobel laureate in behavioral economics, has argued that much of what we value in an experience as human beings depends on the worst or best moment of that experience, or the last moment of that experience. In a world increasingly driven by expertise in managing this design principle of memory, it will be vital to commercial and social success. Imagine a successful purchase, but you can’t open the clam shell packaging. Now, multiplying that by millions of experiments, we’ll be interacting with machines by 2033.

Our future knowledge of our abilities is nearly unlimited, but our understanding and ability to put all that knowledge into a human and emotional perspective lags far behind. For example, the idea of ​​taking a bus is about getting from A to B. However, each of us may want to, or be open to, very personal experiences on the bus, before and even after we get on the bus. Some may want to feel virtual privacy on the bus. Others may want to customize the display from their windows or see targeted ads. These buses will likely be much smaller because ongoing intelligence means better route matching for customers. Even the role of the bus driver will change as he takes care of a range of these functions either through a set of commonly used screens or even software for different individuals’ devices. This is an example of using the sheer power of software to augment the experiences we all have in what today will be very homogeneous in nature.

Imagine in the year 2033 that a surgeon and patient could share real-time data before and after robotic surgery in order to learn together. This will need different expressions and interfaces depending on the patient for better learning. For a large set of data we collect, only a small portion is used, shared, and co-created because the sharing and cross-learning methods are very homogeneous. Some patients may require visual prompts, others may require voice or words.

The idea of ​​creating a Meta verse offers huge potential, but Mets won’t be the only company to win or play in this space. The ability to learn, relate data, and the need for humanity in these areas of application will be key to generating highly valued and enhanced era experiences.

There are four principles we can all begin to apply to build this new world. The need to be transparent in explaining why a machine, system, or human interaction with either works. We need to deliver ubiquitous experiences that are not constrained by screens or locations. The process should be collaborative in nature, and in fact be conversational and agile rather than strict. This is how humans experience life and it should be the same for our intelligent machines. Finally, we need you to respond to the ways we live and work as human beings. Humans do this naturally, machines don’t, and if we want machines to thrive, we need a human, responsive dynamic. Think of this example. When a human recognizes the lurking danger (a fire or a cliff), the machine either sees an open space or flashes red and yellow.

We need to be more focused on human interactions with technology and less on actual technology. Products should be more focused on human needs with the product (experience). Put the human at the center of what we do, and designing empathy is becoming increasingly important as we work in and around billions of intelligent machines in this augmented age. It would be very easy to get distracted by the noises around us, so correct experimentation and problem solving must mature very quickly.

Crystal Rutland has had a career of over 15 years in technology at the forefront of digital products and services, starting with an early web work as an instructional designer, then moving on to become a UX Strategist at Intel, then starting her own digital product design agency. Her focus is on empathy as a powerful design tool, backed by deep insight into user experience research and technology

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