Tag Archives: interface
The best storytellers react to their audience. They look for smiles, signs of awe, or boredom; they simultaneously and skillfully read both the story and their sitters. Kevin Brooks, a seasoned storyteller working for Motorola’s Human Interface Labs, explains, “As the storyteller begins, they must tune in to… the audience’s energy. Based on this energy, the storyteller will adjust their timing, their posture, their characterizations, and sometimes even the events of the story. There is a dialog between audience and storyteller.”
Shortly after I read the script to Melita, the latest virtual reality experience from Madrid-based immersive storytelling company Future Lighthouse, CEO Nicolas Alcalá explained to me that the piece is an example of “reactive content,” a concept he’s been working on since his days at Singularity University.
For the first time in history, we have access to technology that can merge the reactive and affective elements of oral storytelling with the affordances of digital media, weaving stunning visuals, rich soundtracks, and complex meta-narratives in a story arena that has the capability to know you more intimately than any conventional storyteller could.
It’s no understatement to say that the storytelling potential here is phenomenal.
In short, we can refer to content as reactive if it reads and reacts to users based on their body rhythms, emotions, preferences, and data points. Artificial intelligence is used to analyze users’ behavior or preferences to sculpt unique storylines and narratives, essentially allowing for a story that changes in real time based on who you are and how you feel.
The development of reactive content will allow those working in the industry to go one step further than simply translating the essence of oral storytelling into VR. Rather than having a narrative experience with a digital storyteller who can read you, reactive content has the potential to create an experience with a storyteller who knows you.
This means being able to subtly insert minor personal details that have a specific meaning to the viewer. When we talk to our friends we often use experiences we’ve shared in the past or knowledge of our audience to give our story as much resonance as possible. Targeting personal memories and aspects of our lives is a highly effective way to elicit emotions and aid in visualizing narratives. When you can do this with the addition of visuals, music, and characters—all lifted from someone’s past—you have the potential for overwhelmingly engaging and emotionally-charged content.
Future Lighthouse inform me that for now, reactive content will rely primarily on biometric feedback technology such as breathing, heartbeat, and eye tracking sensors. A simple example would be a story in which parts of the environment or soundscape change in sync with the user’s heartbeat and breathing, or characters who call you out for not paying attention.
The next step would be characters and situations that react to the user’s emotions, wherein algorithms analyze biometric information to make inferences about states of emotional arousal (“why are you so nervous?” etc.). Another example would be implementing the use of “arousal parameters,” where the audience can choose what level of “fear” they want from a VR horror story before algorithms modulate the experience using information from biometric feedback devices.
The company’s long-term goal is to gather research on storytelling conventions and produce a catalogue of story “wireframes.” This entails distilling the basic formula to different genres so they can then be fleshed out with visuals, character traits, and soundtracks that are tailored for individual users based on their deep data, preferences, and biometric information.
The development of reactive content will go hand in hand with a renewed exploration of diverging, dynamic storylines, and multi-narratives, a concept that hasn’t had much impact in the movie world thus far. In theory, the idea of having a story that changes and mutates is captivating largely because of our love affair with serendipity and unpredictability, a cultural condition theorist Arthur Kroker refers to as the “hypertextual imagination.” This feeling of stepping into the unknown with the possibility of deviation from the habitual translates as a comforting reminder that our own lives can take exciting and unexpected turns at any moment.
The inception of the concept into mainstream culture dates to the classic Choose Your Own Adventure book series that launched in the late 70s, which in its literary form had great success. However, filmic takes on the theme have made somewhat less of an impression. DVDs like I’m Your Man (1998) and Switching (2003) both use scene selection tools to determine the direction of the storyline.
A more recent example comes from Kino Industries, who claim to have developed the technology to allow filmmakers to produce interactive films in which viewers can use smartphones to quickly vote on which direction the narrative takes at numerous decision points throughout the film.
The main problem with diverging narrative films has been the stop-start nature of the interactive element: when I’m immersed in a story I don’t want to have to pick up a controller or remote to select what’s going to happen next. Every time the audience is given the option to take a new path (“press this button”, “vote on X, Y, Z”) the narrative— and immersion within that narrative—is temporarily halted, and it takes the mind a while to get back into this state of immersion.
Reactive content has the potential to resolve these issues by enabling passive interactivity—that is, input and output without having to pause and actively make decisions or engage with the hardware. This will result in diverging, dynamic narratives that will unfold seamlessly while being dependent on and unique to the specific user and their emotions. Passive interactivity will also remove the game feel that can often be a symptom of interactive experiences and put a viewer somewhere in the middle: still firmly ensconced in an interactive dynamic narrative, but in a much subtler way.
While reading the Melita script I was particularly struck by a scene in which the characters start to engage with the user and there’s a synchronicity between the user’s heartbeat and objects in the virtual world. As the narrative unwinds and the words of Melita’s character get more profound, parts of the landscape, which seemed to be flashing and pulsating at random, come together and start to mimic the user’s heartbeat.
In 2013, Jane Aspell of Anglia Ruskin University (UK) and Lukas Heydrich of the Swiss Federal Institute of Technology proved that a user’s sense of presence and identification with a virtual avatar could be dramatically increased by syncing the on-screen character with the heartbeat of the user. The relationship between bio-digital synchronicity, immersion, and emotional engagement is something that will surely have revolutionary narrative and storytelling potential.
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Cambridge, MA – Soft Robotics Inc, which has built a fundamentally new class of robotic grippers, announced the release of its expanded and upgraded Soft Robotics Development Kit; SRDK 2.0.
The Soft Robotics Development Kit 2.0 comes complete with:
Robot tool flange mounting plate
4, 5 and 6 position hub plates
Tool Center Point
Soft Robotics Control Unit G2
6 rail mounted, 4 accordion actuator modules
Custom pneumatic manifold
Mounting hardware and accessories
Where the SRDK 1.0 included 5 four accordion actuator modules and the opportunity to create a gripper containing two to five actuators, The SRDK 2.0 contains 6 four accordion actuator modules plus the addition of a six position hub allowing users the ability to configure six actuator test tools. This expands use of the Development Kit to larger product applications, such as: large bagged and pouched items, IV bags, bags of nuts, bread and other food items.
SRDK 2.0 also contains an upgraded Soft Robotics Control Unit (SRCU G2) – the proprietary system that controls all software and hardware with one turnkey pneumatic operation. The upgraded SRCU features new software with a cleaner, user friendly interface and an IP65 rating. Highly intuitive, the software is able to store up to eight grip profiles and allows for very precise adjustments to actuation and vacuum.
Also new with the release of SRDK 2.0, is the introduction of several accessory kits that will allow for an expanded number of configurations and product applications available for testing.
Accessory Kit 1 – For SRDK 1.0 users only – includes the six position hub and 4 accordion actuators now included in SRDK 2.0
Accessory Kit 2 – For SRDK 1.0 or 2.0 users – includes 2 accordion actuators
Accessory Kit 3 – For SRDK 1.0 or 2.0 users – includes 3 accordion actuators
The shorter 2 and 3 accordion actuators provide increased stability for high-speed applications, increased placement precision, higher grip force capabilities and are optimized for gripping small, shallow objects.
Designed to plug and play with any existing robot currently in the market, the Soft Robotics Development Kit 2.0 allows end-users and OEM Integrators the ability to customize, test and validate their ideal Soft Robotics solution, with their own equipment, in their own environment.
Once an ideal solution has been found, the Soft Robotics team will take those exact specifications and build a production-grade tool for implementation into the manufacturing line. And, it doesn’t end there. Created to be fully reusable, the process – configure, test, validate, build, production – can start over again as many times as needed.
See the new SRDK 2.0 on display for the first time at PACK EXPO Las Vegas, September 25 – 27, 2017 in Soft Robotics booth S-5925.
Learn more about the Soft Robotics Development Kit at www.softroboticsinc.com/srdk.
Photo Credit: Soft Robotics – www.softroboticsinc.com
About Soft Robotics
Soft Robotics designs and builds soft robotic gripping systems and automation solutions
that can grasp and manipulate items of varying size, shape and weight. Spun out of the
Whitesides Group at Harvard University, Soft Robotics is the only company to be
commercializing this groundbreaking and proprietary technology platform. Today, the
company is a global enterprise solving previously off-limits automation challenges for
customers in food & beverage, advanced manufacturing and ecommerce. Soft Robotics’
engineers are building an ecosystem of robots, control systems, data and machine
learning to enable the workplace of the future. For more information, please visit
The Kondracki Group, LLC
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Technological progress has radically transformed our concept of privacy. How we share information and display our identities has changed as we’ve migrated to the digital world.
As the Guardian states, “We now carry with us everywhere devices that give us access to all the world’s information, but they can also offer almost all the world vast quantities of information about us.” We are all leaving digital footprints as we navigate through the internet. While sometimes this information can be harmless, it’s often valuable to various stakeholders, including governments, corporations, marketers, and criminals.
The ethical debate around privacy is complex. The reality is that our definition and standards for privacy have evolved over time, and will continue to do so in the next few decades.
Implications of Emerging Technologies
Protecting privacy will only become more challenging as we experience the emergence of technologies such as virtual reality, the Internet of Things, brain-machine interfaces, and much more.
Virtual reality headsets are already gathering information about users’ locations and physical movements. In the future all of our emotional experiences, reactions, and interactions in the virtual world will be able to be accessed and analyzed. As virtual reality becomes more immersive and indistinguishable from physical reality, technology companies will be able to gather an unprecedented amount of data.
It doesn’t end there. The Internet of Things will be able to gather live data from our homes, cities and institutions. Drones may be able to spy on us as we live our everyday lives. As the amount of genetic data gathered increases, the privacy of our genes, too, may be compromised.
It gets even more concerning when we look farther into the future. As companies like Neuralink attempt to merge the human brain with machines, we are left with powerful implications for privacy. Brain-machine interfaces by nature operate by extracting information from the brain and manipulating it in order to accomplish goals. There are many parties that can benefit and take advantage of the information from the interface.
Marketing companies, for instance, would take an interest in better understanding how consumers think and consequently have their thoughts modified. Employers could use the information to find new ways to improve productivity or even monitor their employees. There will notably be risks of “brain hacking,” which we must take extreme precaution against. However, it is important to note that lesser versions of these risks currently exist, i.e., by phone hacking, identify fraud, and the like.
A New Much-Needed Definition of Privacy
In many ways we are already cyborgs interfacing with technology. According to theories like the extended mind hypothesis, our technological devices are an extension of our identities. We use our phones to store memories, retrieve information, and communicate. We use powerful tools like the Hubble Telescope to extend our sense of sight. In parallel, one can argue that the digital world has become an extension of the physical world.
These technological tools are a part of who we are. This has led to many ethical and societal implications. Our Facebook profiles can be processed to infer secondary information about us, such as sexual orientation, political and religious views, race, substance use, intelligence, and personality. Some argue that many of our devices may be mapping our every move. Your browsing history could be spied on and even sold in the open market.
While the argument to protect privacy and individuals’ information is valid to a certain extent, we may also have to accept the possibility that privacy will become obsolete in the future. We have inherently become more open as a society in the digital world, voluntarily sharing our identities, interests, views, and personalities.
“The question we are left with is, at what point does the tradeoff between transparency and privacy become detrimental?”
There also seems to be a contradiction with the positive trend towards mass transparency and the need to protect privacy. Many advocate for a massive decentralization and openness of information through mechanisms like blockchain.
The question we are left with is, at what point does the tradeoff between transparency and privacy become detrimental? We want to live in a world of fewer secrets, but also don’t want to live in a world where our every move is followed (not to mention our every feeling, thought and interaction). So, how do we find a balance?
Traditionally, privacy is used synonymously with secrecy. Many are led to believe that if you keep your personal information secret, then you’ve accomplished privacy. Danny Weitzner, director of the MIT Internet Policy Research Initiative, rejects this notion and argues that this old definition of privacy is dead.
From Witzner’s perspective, protecting privacy in the digital age means creating rules that require governments and businesses to be transparent about how they use our information. In other terms, we can’t bring the business of data to an end, but we can do a better job of controlling it. If these stakeholders spy on our personal information, then we should have the right to spy on how they spy on us.
The Role of Policy and Discourse
Almost always, policy has been too slow to adapt to the societal and ethical implications of technological progress. And sometimes the wrong laws can do more harm than good. For instance, in March, the US House of Representatives voted to allow internet service providers to sell your web browsing history on the open market.
More often than not, the bureaucratic nature of governance can’t keep up with exponential growth. New technologies are emerging every day and transforming society. Can we confidently claim that our world leaders, politicians, and local representatives are having these conversations and debates? Are they putting a focus on the ethical and societal implications of emerging technologies? Probably not.
We also can’t underestimate the role of public awareness and digital activism. There needs to be an emphasis on educating and engaging the general public about the complexities of these issues and the potential solutions available. The current solution may not be robust or clear, but having these discussions will get us there.
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As Dorothy famously said in The Wizard of Oz, there’s no place like home. Home is where we go to rest and recharge. It’s familiar, comfortable, and our own. We take care of our homes by cleaning and maintaining them, and fixing things that break or go wrong.
What if our homes, on top of giving us shelter, could also take care of us in return?
According to Chris Arkenberg, this could be the case in the not-so-distant future. As part of Singularity University’s Experts On Air series, Arkenberg gave a talk called “How the Intelligent Home of The Future Will Care For You.”
Arkenberg is a research and strategy lead at Orange Silicon Valley, and was previously a research fellow at the Deloitte Center for the Edge and a visiting researcher at the Institute for the Future.
Arkenberg told the audience that there’s an evolution going on: homes are going from being smart to being connected, and will ultimately become intelligent.
Intelligent home technologies are just now budding, but broader trends point to huge potential for their growth. We as consumers already expect continuous connectivity wherever we go—what do you mean my phone won’t get reception in the middle of Yosemite? What do you mean the smart TV is down and I can’t stream Game of Thrones?
As connectivity has evolved from a privilege to a basic expectation, Arkenberg said, we’re also starting to have a better sense of what it means to give up our data in exchange for services and conveniences. It’s so easy to click a few buttons on Amazon and have stuff show up at your front door a few days later—never mind that data about your purchases gets recorded and aggregated.
“Right now we have single devices that are connected,” Arkenberg said. “Companies are still trying to show what the true value is and how durable it is beyond the hype.”
Connectivity is the basis of an intelligent home. To take a dumb object and make it smart, you get it online. Belkin’s Wemo, for example, lets users control lights and appliances wirelessly and remotely, and can be paired with Amazon Echo or Google Home for voice-activated control.
Speaking of voice-activated control, Arkenberg pointed out that physical interfaces are evolving, too, to the point that we’re actually getting rid of interfaces entirely, or transitioning to ‘soft’ interfaces like voice or gesture.
Drivers of change
Consumers are open to smart home tech and companies are working to provide it. But what are the drivers making this tech practical and affordable? Arkenberg said there are three big ones:
Computation: Computers have gotten exponentially more powerful over the past few decades. If it wasn’t for processors that could handle massive quantities of information, nothing resembling an Echo or Alexa would even be possible. Artificial intelligence and machine learning are powering these devices, and they hinge on computing power too.
Sensors: “There are more things connected now than there are people on the planet,” Arkenberg said. Market research firm Gartner estimates there are 8.4 billion connected things currently in use. Wherever digital can replace hardware, it’s doing so. Cheaper sensors mean we can connect more things, which can then connect to each other.
Data: “Data is the new oil,” Arkenberg said. “The top companies on the planet are all data-driven giants. If data is your business, though, then you need to keep finding new ways to get more and more data.” Home assistants are essentially data collection systems that sit in your living room and collect data about your life. That data in turn sets up the potential of machine learning.
Colonizing the Living Room
Alexa and Echo can turn lights on and off, and Nest can help you be energy-efficient. But beyond these, what does an intelligent home really look like?
Arkenberg’s vision of an intelligent home uses sensing, data, connectivity, and modeling to manage resource efficiency, security, productivity, and wellness.
Autonomous vehicles provide an interesting comparison: they’re surrounded by sensors that are constantly mapping the world to build dynamic models to understand the change around itself, and thereby predict things. Might we want this to become a model for our homes, too? By making them smart and connecting them, Arkenberg said, they’d become “more biological.”
There are already several products on the market that fit this description. RainMachine uses weather forecasts to adjust home landscape watering schedules. Neurio monitors energy usage, identifies areas where waste is happening, and makes recommendations for improvement.
These are small steps in connecting our homes with knowledge systems and giving them the ability to understand and act on that knowledge.
He sees the homes of the future being equipped with digital ears (in the form of home assistants, sensors, and monitoring devices) and digital eyes (in the form of facial recognition technology and machine vision to recognize who’s in the home). “These systems are increasingly able to interrogate emotions and understand how people are feeling,” he said. “When you push more of this active intelligence into things, the need for us to directly interface with them becomes less relevant.”
Could our homes use these same tools to benefit our health and wellness? FREDsense uses bacteria to create electrochemical sensors that can be applied to home water systems to detect contaminants. If that’s not personal enough for you, get a load of this: ClinicAI can be installed in your toilet bowl to monitor and evaluate your biowaste. What’s the point, you ask? Early detection of colon cancer and other diseases.
What if one day, your toilet’s biowaste analysis system could link up with your fridge, so that when you opened it it would tell you what to eat, and how much, and at what time of day?
Roadblocks to intelligence
“The connected and intelligent home is still a young category trying to establish value, but the technological requirements are now in place,” Arkenberg said. We’re already used to living in a world of ubiquitous computation and connectivity, and we have entrained expectations about things being connected. For the intelligent home to become a widespread reality, its value needs to be established and its challenges overcome.
One of the biggest challenges will be getting used to the idea of continuous surveillance. We’ll get convenience and functionality if we give up our data, but how far are we willing to go? Establishing security and trust is going to be a big challenge moving forward,” Arkenberg said.
There’s also cost and reliability, interoperability and fragmentation of devices, or conversely, what Arkenberg called ‘platform lock-on,’ where you’d end up relying on only one provider’s system and be unable to integrate devices from other brands.
Ultimately, Arkenberg sees homes being able to learn about us, manage our scheduling and transit, watch our moods and our preferences, and optimize our resource footprint while predicting and anticipating change.
“This is the really fascinating provocation of the intelligent home,” Arkenberg said. “And I think we’re going to start to see this play out over the next few years.”
Sounds like a home Dorothy wouldn’t recognize, in Kansas or anywhere else.
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It was the Greek philosopher Heraclitus who first said, “The only thing that is constant is change.”
He was onto something. But even he would likely be left speechless at the scale and pace of change the world has experienced in the past 100 years—not to mention the past 10.
Since 1917, the global population has gone from 1.9 billion people to 7.5 billion. Life expectancy has more than doubled in many developing countries and risen significantly in developed countries. In 1917 only eight percent of homes had phones—in the form of landline telephones—while today more than seven in 10 Americans own a smartphone—aka, a supercomputer that fits in their pockets.
And things aren’t going to slow down anytime soon. In a talk at Singularity University’s Global Summit this week in San Francisco, SU cofounder and chairman Peter Diamandis told the audience, “Tomorrow’s speed of change will make today look like we’re crawling.” He then shared his point of view about some of the most important factors driving this accelerating change.
Peter Diamandis at Singularity University’s Global Summit in San Francisco.
In 1965, Gordon Moore (cofounder of Intel) predicted computer chips would double in power and halve in cost every 18 to 24 months. What became known as Moore’s Law turned out to be accurate, and today affordable computer chips contain a billion or more transistors spaced just nanometers apart.
That means computers can do exponentially more calculations per second than they could thirty, twenty, or ten years ago—and at a dramatically lower cost. This in turn means we can generate a lot more information, and use computers for all kinds of applications they wouldn’t have been able to handle in the past (like diagnosing rare forms of cancer, for example).
Increased computing power is the basis for a myriad of technological advances, which themselves are converging in ways we couldn’t have imagined a couple decades ago. As new technologies advance, the interactions between various subsets of those technologies create new opportunities that accelerate the pace of change much more than any single technology can on its own.
A breakthrough in biotechnology, for example, might spring from a crucial development in artificial intelligence. An advance in solar energy could come about by applying concepts from nanotechnology.
Technology is becoming more accessible even to the most non-techy among us. The internet was once the domain of scientists and coders, but these days anyone can make their own web page, and browsers make those pages easily searchable. Now, interfaces are opening up areas like robotics or 3D printing.
As Diamandis put it, “You don’t need to know how to code to 3D print an attachment for your phone. We’re going from mind to materialization, from intentionality to implication.”
Artificial intelligence is what Diamandis calls “the ultimate interface moment,” enabling everyone who can speak their mind to connect and leverage exponential technologies.
Today there are about three billion people around the world connected to the internet—that’s up from 1.8 billion in 2010. But projections show that by 2025 there will be eight billion people connected. This is thanks to a race between tech billionaires to wrap the Earth in internet; Elon Musk’s SpaceX has plans to launch a network of 4,425 satellites to get the job done, while Google’s Project Loon is using giant polyethylene balloons for the task.
These projects will enable five billion new minds to come online, and those minds will have access to exponential technologies via interface moments.
Diamandis predicts that after we establish a 5G network with speeds of 10–100 Gbps, a proliferation of sensors will follow, to the point that there’ll be around 100,000 sensors per city block. These sensors will be equipped with the most advanced AI, and the combination of these two will yield an incredible amount of knowledge.
“By 2030 we’re heading towards 100 trillion sensors,” Diamandis said. “We’re heading towards a world in which we’re going to be able to know anything we want, anywhere we want, anytime we want.” He added that tens of thousands of drones will hover over every major city.
“If you think there’s an arms race going on for AI, there’s also one for HI—human intelligence,” Diamandis said. He explained that if a genius was born in a remote village 100 years ago, he or she would likely not have been able to gain access to the resources needed to put his or her gifts to widely productive use. But that’s about to change.
Private companies as well as military programs are working on brain-machine interfaces, with the ultimate aim of uploading the human mind. The focus in the future will be on increasing intelligence of individuals as well as companies and even countries.
A final crucial factor driving mass acceleration is the increase in wealth concentration. “We’re living in a time when there’s more wealth in the hands of private individuals, and they’re willing to take bigger risks than ever before,” Diamandis said. Billionaires like Mark Zuckerberg, Jeff Bezos, Elon Musk, and Bill Gates are putting millions of dollars towards philanthropic causes that will benefit not only themselves, but humanity at large.
What It All Means
One of the biggest implications of the rate at which the world is changing, Diamandis said, is that the cost of everything is trending towards zero. We are heading towards abundance, and the evidence lies in the reduction of extreme poverty we’ve already seen and will continue to see at an even more rapid rate.
Listening to Diamandis’ optimism, it’s hard not to find it contagious.
“The world is becoming better at an extraordinary rate,” he said, pointing out the rises in literacy, democracy, vaccinations, and life expectancy, and the concurrent decreases in child mortality, birth rate, and poverty.
“We’re alive during a pivotal time in human history,” he concluded. “There is nothing we don’t have access to.”
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