Looking to the near future, the current rate of exponential technological advancement will continue to accelerate, and we are primed for another significant leap forward; the concept of emotive computing is about to enter the lives of early adopters and has the potential to shift our behaviors once again.
During SXSW 2015, the personal side of robots session presented by Dr. Cynthia Breazeal caught my attention. Her session focused on the potential impact of emotive computing as the next wave of computing innovation.
Emotive computing is based on systems and devices that can recognize, interpret, process, and simulate elements of human behavior. The key to the concept is the alignment of both emotion and cognition as the drivers of adaptive behavior.
I have followed Dr. Breazeal’s work at MIT since the late '90s when I first heard about the Kismet project. Kismet was designed to be one of the first socio-emotive AI. The core focus was to move past simple cognitive skills and align psychosocial elements into the robot's ability to understand and treat people as people.
During the session, Dr. Breazeal discussed the evolution of Kismet to the next iteration of the AI, Leonardo, as well as how emotion + cognition should be the basis of intelligence and adaptive behavior - which is key to creating an emotive AI.
The advancements made with Kismet and Leonardo have set the foundation for a new type of consumer device that is focused on delivering multiple levels of utility while also demonstrating adaptive behavior.
Reviewing the current landscape of personal robots, we see mostly single utility or cognitively-driven robots. They enhance our lives by the tasks they complete but are weak in their ability to conceive emotional engagement.
This is where I begin to consider the current product/market fit for socially emotive AI. When you start to consider the Internet of Things or the Internet of Better Things, there are key components missing that would unlock new levels of value, which would lead to mass adoption. Most of the current ecosystem is comprised of single-utility solutions that are neither interconnected nor adaptive.
Initially, my assumption is that the IOT would benefit from a central hub that is built to scale. The basis for the hub has already been approached by Amazon with Echo. But the current technology tied to virtual assistants is built around search and retrieval based entities with limited capabilities to learn.
With the rise of emotive computing, it is feasible that the core hub for the connected home could be an emotive AI. Toward the end of her talk, Dr. Breazeal revealed that her current initiative as founder and Chief Science Officer of Jibo is to deliver such an entity into homes sooner rather than later.
Jibo is being touted as the first "family robot" and positioned as a support and an enhancer to humans. The IndieGoGo crowdfunded robot raised over 2.2 million dollars and the first run is currently in production. Jibo can see, hear, speak, learn, assist, and relate to individuals, and is going to be the first mass-produced emotive AI.
Jibo is also going to be built on a comprehensive developer ecosystem. With toolkits and a full SDK available, the focus is on creating a scalable content delivery platform.
I have talked a lot about how the IOT needs to be navigated with the consumer at the center, and I have shared my view of the #databaseofyou as the key to unlocking marketing value from the IOT, but little did I know that the database would actually reside within an emotive AI.
From a marketing perspective, I am very interested in the adoption and advancement of Jibo. If an emotive AI becomes the primary hub for the connected home, then it also becomes a potential content delivery platform that is the key connection between brands and consumers in the connected home.
By leveraging the full SDK and potentially certifying content, brands could provide contextually valuable experiences delivered through Jibo, or potentially new skills that extend the utility of the robot.
This is obviously speculation on how to potentially leverage emotive computing to create marketing value, but it is important to begin understanding that a significant shift is coming and that it may have just arrived in a small robotic form.
Follow Tom Edwards @BlackFin360