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The Egyptian resistance used web tools as well as physical space, and most importantly, they did so by looking at the intersection of both. They used the web to inform people how to behave in physical space, e.g., what to do with tear gas containers, who should stand in front of the crowds and how the crowds should move about the city. It makes little sense to argue about whether these are social media revolutions or not. Instead, we should recognize them as augmented revolutions. Only then can we debate just how and how much of a role the digital aspect played.

The study has found that robot-assisted AR based play showed improved learning effects, compared to the conventional play, in language and creativity and this is attributed to the operational flexibility, novelty, robotic mediation and capturing the attention of the children. The result was also made possible in part by designing an effective interface for the teachers to control the robots and manage the simultaneously occurring tasks.

We found 87 research articles on augmented reality learning experiences (ARLEs) in the IEEE Xplore Digital Library and other learning technology publications. Forty-three of these articles conducted user studies, and seven allowed the computation of an effect size to the performance of students in a test. In our meta-analysis, research show that ARLEs achieved a widely variable effect on student performance from a small negative effect to a large effect, with a mean effect size of 0.56 or moderate effect.

Consider four evocative examples of phenomena that have motivated embodied cognitive science. We typically gesture when we speak to one another, and gesturing facilitates not just communication but language processing itself (McNeill 1992). Vision is often action-guiding, and bodily movement and the feedback it generates are more tightly integrated into at least some visual processing than has been anticipated by traditional models of vision (O'Regan and Noë 2001). There are neurons, mirror neurons, that fire not only when we undertake an action, but do so when we observe others undertaking the same actions (Rizolatti and Craighero 2004). We are often able to perform cognitive tasks, such as remembering, more effectively by using our bodies and even parts of our surrounding environments to off-load storage and simplify the nature of the cognitive processing (Donald 1991).

The paper presents a framework for understanding AR learning from three perspectives: physical, cognitive, and contextual. On the physical dimension, we argue that physical manipulation affords natural interactions, thus encouraging the creation of embodied representations for educational concepts. On the cognitive dimension, we discuss how spatiotemporal alignment of information through AR experiences can aid student's symbolic understanding by scaffolding the progression of learning, resulting in improved understanding of abstract concepts. Finally, on the contextual dimension, we argue that AR creates possibilities for collaborative learning around virtual content and in non-traditional environments, ultimately facilitating personally meaningful experiences.

As such it can contribute to anxieties and stress when growing up and even last into adulthood.

Advertising is the art of arresting the human intelligence just long enough to get money from it.

Pandora (which is also the name of the company) grew out of the Music Genome Project, which company founder Tim Westergren began six years ago.

He became fascinated with the way directors described the music they were looking for, which led to his wondering what made people enjoy certain types of music. He asked himself, "If people haven't found any music that they love since college, and artists are struggling to find an audience, is there a role for technology to help bridge the gap?"

Westergren started the Genome Project from the idea of creating a platform for connecting people with music that they'll love based on music they already enjoy. The project uses experts called "music analysts" to deconstruct music into its fundamental parts and capture the results into a database. Pandora has 40 professional musicians who come to the office every day and listen to one song at a time, analyzing each in anywhere from 200 to 400 dimensions. (The dimensions are somewhat different for each genre of music.)

Ambient intelligence and autonomous control are not part of the original concept of the Internet of Things. Ambient intelligence and autonomous control do not necessarily require Internet structures, either. However, there is a shift in research to integrate the concepts of the Internet of Things and autonomous control.[45] In the future the Internet of Things may be a non-deterministic and open network in which auto-organized or intelligent entities (Web services, SOA components), virtual objects (avatars) will be interoperable and able to act independently (pursuing their own objectives or shared ones) depending on the context, circumstances or environments. Embedded intelligence[46] presents an "AI-oriented" perspective of Internet of Things, which can be more clearly defined as: leveraging the capacity to collect and analyze the digital traces left by people when interacting with widely deployed smart things to discover the knowledge about human life, environment interaction, as well as social connection/behavior.

what’s remarkable about this future isn’t the sensors, nor is it that all our sensors and objects and devices are linked together. It’s the fact that once we get enough of these objects onto our networks, they’re no longer one-off novelties or data sources but instead become a coherent system, a vast ensemble that can be choreographed, a body that can dance. Really, it’s the opposite of an “Internet,” a term that even today—in the era of the cloud and the app and the walled garden—connotes a peer-to-peer system in which each node is equally empowered. By contrast, these connected objects will act more like a swarm of drones, a distributed legion of bots, far-flung and sometimes even hidden from view but nevertheless coordinated as if they were a single giant machine.

For the Programmable World to reach its full potential, we need to pass through three stages. The first is simply the act of getting more devices onto the network—more sensors, more processors in everyday objects, more wireless hookups to extract data from the processors that already exist. The second is to make those devices rely on one another, coordinating their actions to carry out simple tasks without any human intervention. The third and final stage, once connected things become ubiquitous, is to understand them as a system to be programmed, a bona fide platform that can run software in much the same manner that a computer or smartphone can. Once we get there, that system will transform the world of everyday objects into a design­able environment, a playground for coders and engineers. It will change the whole way we think about the division between the virtual and the physical.