By 2030 PWC estimates that 70% of the growth in global GDP will come from AI, the Edge and the tens of billions of machines, computing, sensing and learning in real time. How we as humans, billions of people, interface with those machines is a whole new world and how these machines, billions of them talk and work with each other and us is a whole new perspective on the collision paths of technology and the human experience. It is unlikely that we can avoid these challenges because we each will need to work, play and live with and around these new, almost life forms, machines.
The design principles for this new world of 2033 and beyond are going require us to reconnect the way we have evolved rapidly with our intellects through technology the web and in future with a software centric world with the ways we have evolved (far more slowly) with our empathy If we cannot re address these evolutionary disbalance then we under deliver on the promise of these technologies to deliver hope, better health and a more plentiful environment through machines, software and human interaction. Seven key insights from the podcast that are interesting perspectives on our future world:
· We have moved through four eras of industrial existence so far. From millions of years with hunting to thousands of years of farming through a few hundred years of industrial production and then a mere seventy years of technology. The next age, the augmented age will be essential to delivering a far wider set of values to an 8bn plus global population and a world of strained resources.
· We are moving from the eras of Moore’s’ law in the late C20th to the software industry that un-locks the potential of humans in C21st as it the power of design and delivery is amplified by the new paradigms for design and experience.
· The Nobel laureate for behavioral economics, Daniel Kahneman argued that much of what we value in experience as humans is based on the worst, or best moment of that experience, or the very last moment of that experience. In a world increasingly driven by experiences managing to this principle of designing for memory is going to be vital for commercial and social success. Imagine a successful purchase, but you cannot open the clam shell packaging. Now multiple that by the millions of experiences we will interact with machines over by 2033.
· Our capacity future knowledge is almost infinite, but our understanding and ability to put all that knowledge into a human and empathetic perspective drags far behind. For example, the idea of taking a bus is about getting from A to B. However, each of us may want, or be open to very personal experiences on the bus, before we get on the bus and even afterwards. Some may want to get a sense of virtual privacy on the bus. Others may want to customize the view from their windows or see targeted advertisements. These buses will likely be far smaller as ongoing intelligence means the matching of routes to customers is optimized. Even the role of the bus driver will change as they take care of a range of these functions either through a set of commonly used screens or even software to various individuals’ devices. This is the example of using the vast power of software to augment the experiences we all have in what today would be very monolithic by nature.
· Imagine in 2033 that a surgeon and a patient can 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 in order to best learn. For the vast array of data we collect only a small portion is used, shared and co-created because the methods for sharing and mutual learning and very monolithic. Some patients may require visual prompts, other may need audio or words.
· The idea of creating virtual worlds for learning (Meta verse) offers immense potential but Mets will not be the only company to win or play in this space. The ability to learn, connect data and the need for humanity in these application areas is going to be key to generate high value, augmented era experiences.
There are four principles we can all start applying to building this new world. The need to be transparent in explaining and showing why a machine, or system or human interaction with either has worked. We need to deliver ubiquitous experiences that are un-tethered from screens or locations. the process needs to be collaborative in nature, in effect conversational and agile and not rigid. This is how humans experience life and it should be the same for our intelligent machines. Finally, we need it to be responsive to the ways we as humans live and work. Humans do this naturally, machines do not and if we are both to thrive machines need a human, responsive dynamic. Think of this example. Where a human recognizes inherent danger (a fire or a cliff) a machine see either open space or flickering red and yellow.
We need to be more focused on the human interactions with the technology and less on the actual technology. Products need to be more focused on the human needs with the product (experience). Keep the human at the center of what we are doing, design empathy becomes increasingly important as we work in and around billions of intelligent machines in this augmented age. It will be very easy to get distracted by the noises all around us so solving for the right experiences and problem solving has to mature very fast.
Crystal Rutland has enjoyed a 15+ year career in technology at the forefront of digital products and services, starting with early web work as an instructional designer, moving to become a UX Strategist at Intel, and then going to start her own digital product design agency . Her focus is on empathy as a powerful design tool, backed by deep insight into UX research and technology