Aprendizaje: Los cuatro estilos de aprendizaje o el por qué algunos leen los manuales y otros no | Blog Laboratorio de felicidad | EL PAÍS

Adaptadores, asimiladores, divergentes o convergentes son los cuatro estilos de aprendizajes, según David Kolb.
Adaptadores, asimiladores, divergentes o convergentes son los cuatro estilos de aprendizajes, según David Kolb.

Hay personas que se leen hasta la letra pequeña de los manuales mientras que otros se lanzan a pulsar todos los mandos para ver qué ocurre. No es ni bueno ni malo. Simplemente, nos da pistas de nuestra manera de aprender. Veamos los cuatro tipos de aprendizaje que existen para identificar cuál es el tuyo.

Quieres hacer un viaje con tu pareja y uno de vosotros necesita leer hasta el mínimo detalle sobre el sitio a donde vais, mientras que el otro se pone de los nervios porque preferiría lanzarse a la aventura. O en una reunión de trabajo un compañero no para de dar ideas sin concretar nada, mientras que a otro le agobia no trabajar en una sola. ¿Has vivido algo de esto? Si es así, bienvenido a los diferentes modos de aprender y a sus dificultades (y oportunidades).

En 1984 un profesor universitario, David Kolb, descubrió que los adultos tenemos distintas maneras de aprender que dependen de cómo percibamos la realidad y de cómo la procesemos. Hay personas que captan la realidad fundamentalmente a través de la experiencia y otros, creando teorías. Los primeros son más empáticos y tienden a hacer varias tareas al mismo tiempo (multiplicidad). Es más, si no lo hacen se pueden aburrir soberanamente. Los segundos prefieren centrarse en una sola tarea, se manejan muy bien en la teoría y se perderían con varias cosas al mismo tiempo (unicidad).

No todos captamos la información igual: algunos la procesarán si se ponen manos a la obra (acción) y otros si reflexionan sobre lo que observan (pensamiento).

Con respecto a la manera de captar la información, algunos la procesarán si se ponen manos a la obra (acción) y otros si reflexionan sobre lo que observan (pensamiento). Pues bien, las anteriores características definen los ejes de las maneras de aprender y de los cuatro estilos. Veámoslos con algo más de detalle:

Adaptadores o los “hacedores”

Difícilmente leerán un manual. Son el resultado de la multiplicidad y la acción. Prefieren trabajar rodeados de personas y se buscan la vida para conseguir recursos y alcanzar resultados. Les gusta asumir riesgos y saben adaptarse a las circunstancias. En una empresa abundan en los departamentos de ventas. Y la pregunta clave que necesitan contestar es ¿cuándo?

Asimiladores o expertos en la conceptualización

Su estilo es opuesto a los adaptadores. Son extraordinarios creando modelos teóricos y definiendo claramente los problemas. Les interesan más las ideas abstractas que las personas, por lo que no es de extrañar que destaquen en el campo de las matemáticas o de las ciencias. En una empresa pueden estar en posiciones de investigación o de planificación estratégica. Y la pregunta clave que necesitan contestar es ¿por qué?

Divergentes o los reyes de las mil y una ideas creativas

Todos tenemos un estilo de aprendizaje definido pero para desarrollarnos mejor personal y profesionalmente conviene estar con personas que nos complementen y cuyo estilo esté en el extremo del nuestro.

Disfrutan analizando los problemas en su conjunto y trabajando con personas. Son empáticos, emocionales y ocurrentes. No es de extrañar que lancen un sinfín de propuestas diferentes en una reunión. En este estilo se encuentran artistas, músicos y todos los creativos en el mundo de la empresa. Y la pregunta clave que necesitan contestar es ¿y si…? o ¿por qué no?

Convergentes o el poder de la aplicación en una sola cosa

Son los opuestos a los divergentes. Necesitan la aplicación práctica a las ideas para testar teorías o resolver problemas. Se pierden con muchas alternativas. Sin embargo, son excepcionales en situaciones donde haya un único camino para ser resueltas. Muchos ingenieros se enmarcan en este estilo de aprendizaje. Y la pregunta clave que necesitan contestar es ¿para qué?

Como es de imaginar hay personas cuyo estilo de aprendizaje está más marcado que otros como, por ejemplo, Sheldon Lee Cooper, protagonista de la serie The Big Bang Theory, quien es un asimilador total. Lo normal es que no sea así y que todos tengamos un poco de los cuatro aunque nos solamos sentir más cómodos con uno.

En definitiva, todos tenemos un estilo de aprendizaje que nos define más que otros y para desarrollarnos mejor en lo personal y profesional sería recomendable estar con personas que nos complementaran y cuyo estilo estuviera en el extremo del nuestro. Por ello, si eres de los que no lees los manuales, estáte cerca de quienes disfrutan haciéndolo (o viceversa). Porque más allá de este hábito, existe una manera interna distinta de percibir y de procesar la realidad que te puede ayudar a mejorar y a superarte a ti mismo en muchos otros ámbitos de la vida.

Fuente: Aprendizaje: Los cuatro estilos de aprendizaje o el por qué algunos leen los manuales y otros no | Blog Laboratorio de felicidad | EL PAÍS

Forrester’s Top Emerging Technologies To Watch: 2017-2021

Think back just a few years — social, mobile, cloud, and big data ruled the emerging technology landscape. Business and technology management executives wondered what big data meant, when the cloud would disrupt their companies, and how to engage effectively on social channels. In 2016, Hadoop turned 10, the cloud has been around even longer, and social has become a way of business and life. So what’s next?

As a refresh to my 2014 blog and report, here are the next 15 emerging technologies Forrester thinks you need to follow closely. We organize this year’s list into three groups — systems of engagement technologies will help you become customer-led, systems of insight technologies will help you become insights-driven, and supporting technologies will help you become fast and connected.

Why these 15? You might have noticed a few glaring omissions. Certainly blockchain has garnered a lot of attention; and 3D printing is on most of our competitors’ lists. The answer goes back to being customer led, insights driven, fast, and connected. Those of you that follow our research will recognize these as the four principles of customer obsessed operations. The technologies we selected will have the biggest impact on your ability to win, serve and retain customers whose expectations of service through technology are only going up. Furthermore, our list focuses on those technologies that will have the biggest business impact in the next five years. We think blockchain’s big impact outside of financial services, for example, is further out so it didn’t make our list, even though it is important. Maybe by 2018, when I update our list next.

Since I don’t have room here for details about all of our technologies, I’ll focus on five that we think have the potential to change the world. That’s ⅓ of our list by the way – which means a lot of change is coming; it’s time to make your technology bets.

  • IoT software and solutions bring customer engagement potential within reach. Theses software platforms and solutions act as a bridge between highly specialized sensor, actuator, compute, and networking technology for real-world objects and related business software. This technology gives firms visibility into and control of customer and operational realities. By 2021, technology for specific use cases will be mature, but protocol diversity, immature standards and the need for organizational changes will still stymie or delay many firms. Want more info? Schedule an inquiry wtih my colleauge Frank E. Gillette.
  • Intelligent agents coupled with AI/cogntive technologies will automate engagement and solve tasks. Intelligent agents represent a set of AI-powered solutions that understand users’ behavior and are discerning enough to interpret needs and make decisions on their behalf. By 2021, we think that automation, supported by intelligent software agents drivng by an evolution in AI and cogntive technology will have eliminated an net 6% of US jobs. But the loss won’t be uniform. There will be an 11% loss of jobs that are vulnerable and a 5% creation of jobs in industries that stand to benefit. Want more info? Schedule an inquiry with Craig Le Clair on AI in the workforce or my colleague Jennifer Wise on intelligent agents.
  • Augmented reality overlays digital information and experiences on the physical world using combinations of cameras and displays. While we cover both VR and AR, we find that while a lot of attention has been placed on VR, AR has more play, for enteprises in the short term and eventually for consumers as well. By 2021, we will be fully into a transition period between separated and tightly blended physical and digital experiences in our work and lives. Want more info? Schedule an inquiry with my colleague J.P. Gownder.
  • Hybrid wireless technology will eventually ereate connected cverything. Hybrid wireless technologies are the interfaces and software that allow devices to simultaneously leverage and translate between two or more different wireless providers, protocols, and frequency bands, such as light, radio, Wi-Fi, cellular, and Sigfox. By 2021, a virtual network infrastructure will emerge to weave together wireless technologies that globally connect IoT and customer engagement platforms. Want more info? Schedule an inquiry with my colleague Andre Kindness.

To go deeper, listen to Forrester’s What It Means podcast episode: The New Tech Revolution, or if you are a client, please read the report. Lastly, I want say thank you and acknowledge all of the great analysts that helped with this report. Too many to name, but here are a few (check out their blogs!) – Frank Gillette, JP Gownder, Rusty Warner, Ted Schadler, Dave Bartoletti, Andre Kindness, Jeff Pollard, Fatemeh Khatibloo, John Rymer, Brendan Witcher, Dan Bieler, Michael Facemire, Rowan Curran, Noel Yuhanna, and Tina Moffett.

Los títulos universitarios están dejando de tener valor en Silicon Valley y este es el motivo | Foro Económico Mundial

The Apple Campus 2 is seen under construction in Cupertino, California in this aerial photo taken April 6, 2016. REUTERS/Noah Berger - RTSE2L7

Los gigantes de Silicon Valley están contratando a gente que no tiene estudios universitarios, cada día es más habitual. No es sorprendente, pensaréis. Todos hemos escuchado como Bill Gates dejó la Universidad de Harvard para fundar Microsoft o como Steve Jobs solo pasó seis meses en el Reed College. También Serguéi Brin y Larry Page dejaron Stanford para lanzarse a construir “el buscador universal”.

El mundo tecnológico lleva décadas cultivando la idea de que “la universidad y el genio creativo no se llevan bien”, pero si nos fijamos en los trabajadores de esas grandes compañías, nos daremos cuenta de que la inmensa mayoría salió de una universidad de élite. Eso es algo que ha empezado a cambiar.

El talento está ahí fuera

Cale Guthrie Weissman acaba de publicar un reportaje en Fast Company sobre este tema. Sobre como las empresas están empezando a dejar de mirar los expedientes y están empezando a fijarse, esta vez de verdad, en las habilidades. “Hemos tenido mucho éxito en los Bootcamps”, explicaba Sam Ladah de IBM. Llevan años haciéndolo.

Leyéndolo, uno no deja de preguntarse si la famosa escena de La Red Social en la que Zuckerberg contrataba a programadores usando una competición de código, alcohol y velocidad reflejaba en algo el mundo tecnológico o era parte de la mitología startupil. Al fin y al cabo, escoger a los desarrolladores más versátiles del MIT no es precisamente “pensar fuera de la caja“.

Es verdad que el mundo tecnológico tiene unas características particulares en las que las habilidades personales y los recursos que hay disponibles hacen que un título no marque la diferencia. Por eso no es raro que empresas como Github, Intel o, incluso, la Casa Blanca han iniciado programas para buscar esas ‘habilidades personales’.

Intel, por ejemplo, tiene dos programas para esto: un programa de becas para estudiantes de instituto o que cursan los primeros años de la Universidad; y un programa llamado CODE 2040especialmente enfocado en minorías subrepresentadas.

La tecnología frente al espejo

Esa quizá ha sido la lección más importante que ha aprendido la industria tecnológica en estos años: al mirarse al espejo se han dado cuenta que el relato que se contaban, la meritocracia disruptiva del talento y la creatividad, sencillamente no se corresponde con la realidad.

Sí, las grandes tecnológicas se han enfrentado a las políticas inmigratorias de Trump y han defendido a centenares de sus empleados internacionales. Pero aún así, aún con políticas explícitas hacia la diversidad, en IBM calculan que solo entre un 10 y un 15% de las nuevas contrataciones cumplen esos requisitos de diversidad.

¿Formar para el futuro…

Hace unos días, José Manuel Martínez, profesor de derecho en Harvard, explicaba su punto de vista sobre la educación universitaria. Más allá de frases manidas y clichés como “ninguna pregunta es estúpida”, Martínez decía que la formación universitaria está demasiado encasillada.

“Si uno se va al Nasdaq -el mercado de valores norteamericano- comprueba que el 75% de las empresas no existían hace 10 años. Los empleos del futuro no están claros y por eso la especialización por sí sola ya no sirve. Hacen falta perfiles muy transversales”, decía con (aparente) convencimiento.

Y es un nudo central: según una reciente estimación del Departamento de Trabajo de Estados Unidos dice que habrá al menos un millón de puestos de trabajo de programación y desarrollo sin cubrir en 2020.

…o señalizar para el presente?

Yo, en cambio, no creo que sea un problema de contenidos. Si nos fijamos con detalle en los grandes mitos tecnológicos, la idea de que “la universidad (o la formación) es una pérdida de tiempo” solo se puede sostener con muchos problemas. Gates estudió en algunas de las mejores escuelas de Estados Unidos, Jobs fue miembro del Hewlett-Packard Explorer Club desde los 12 años; tanto los fundadores de Google como los de Facebook tenían un talento natural que, bueno, fue pulido en algunas de las mejores universidades del mundo.

No es un problema de contenidos (que también) sino, sobre todo, es un problema de señalización. Tradicionalmente, las universidades han sido un sistema para señalizar gente, a la “gente adecuada”. “Adecuada” para el tiempo, la sociedad y el equilibrio político de cada momento. Un concepto de lo adecuado que, muchas veces, choca frontalmente con nuestro sentido de lo adecuado.

Es decir, nunca fue capaz de señalizar a todos, pero ahora que vemos que el mundo es mucho más plural, diverso y dinámico que antes; ahora se hace mucho más evidente. Más aún cuando los problemas del sistema universitario norteamericano parecen una bomba a punto de explotar.

Pero por muy evidente que sea el problema, cambiar no es sencillo. Weissman lo explica en Fast Company, la industria de la tecnología está combatiendo duramente para atajar sus problemas de homogeneidad cultural y de género. El problema es que es parte de un bucle que, por su mismo funcionamiento, deja fuera un talento que solo ahora han comenzado a ver.

¿Se puede salir del mundo que uno mismo ha construido?

Parece cierto que Silicon Valley está contratando fuera de los círculos habituales, están buscando a gente que no cumple los estándares tradicionales de formación de alto nivel, está intentando salir de la burbuja que ellos mismos han creado.

Pero lo que se lee entre líneas, es algo más interesante y, quizá, perturbador. Que, entre tanta retórica y tanta actitud positiva, no hay certezas, solo una duda. Una duda que se recorre los departamentos de recursos humanos del “centro del mundo tecnológico”: si ese cambio será posible.

Chatbots for customer service will help businesses save $8 billion per year – IBM Watson

Posted in: Cognitive Enterprise, Customer Engagement, News, Trends

Chatbots for customer service will help businesses save $8 billion per year

businesses-save-$8-billion-per-year

A new study releases this week by UK-based Juniper Research supports our prediction that chatbots will redefine the customer service industry, with healthcare and banking industries expected to benefit the most.

The new report titled “Chatbots: Retail, eCommerce, Banking & Healthcare 2017-2022,” estimates that chatbots will help businesses save more than $8 billion per year by 2022, which is a huge increase from the $20 million estimated for this year.

Call centers and customer service departments should already be investing in these new conversational technologies if they want to stay competitive and cost-effective as companies across industries grow their investment in building chatbots to help service customers faster, across any channel, device or platform, 24×7.

Advancements in technology continue to transform customer service interactions. From improvements in loyalty and brand reputation to new revenue streams, the pathway to real-time self-service in customer service brings huge opportunities to forward-thinking businesses.

Juniper also forecasts that the success rate of bot interactions in healthcare sector, completed without the assistance of a human agent, will increase from the current 12% to over 75% in 2022. In banking, Juniper expects this to climb to 90% in 2022.

Banks & Healthcare Providers to Profit

Juniper Research’s report estimates significant savings in the healthcare and banking as customer service resolution times are reduced at a much lower cost than before.

The report predicts that healthcare and banking providers using bots can see time savings of about 4 minutes per customer query, which can help save an average of $0.50-$0.70 per interaction.

Juniper found that chat bots are especially great for healthcare diagnosis questions where bots assess health issues and recommend a course of action to users. As these new technologies continue to evolve they are expected to help with more sophisticated diagnostics like mental health analysis.

Screen Shot 2017-05-10 at 2.27.49 PM

[Infographic source: Juniper Research “Chatbots Infographic – Key Statistics 2017”]

Rise of new types of bots

The report also touches upon the less popular SMS chatbots, which don’t generate as much in revenues as app-based bots, but offer an efficient tool for mass messaging at a low-cost. One example in the report is of how governments, for example, could use chatbots in times of emergency.

You can purchase the full report here.

Juniper Research specializes in identifying and appraising new high growth market sectors within the digital ecosystem. The firm is also offering a free whitepaper, “Chatbots – Critical To Businesses: Here’s Why,” that examines how companies can benefit from using chatbots to help with “traditional human-to-human operations.”

Build your own bot in minutes

Read our “How to build a chatbot” post to get started with your own bot in minutes.

 

Fuente: Chatbots for customer service will help businesses save $8 billion per year – IBM Watson

Hybrid Apps and the Future of Mobile Computing – DZone Mobile

Fuente: Hybrid Apps and the Future of Mobile Computing – DZone Mobile

Hybrid Apps and the Future of Mobile Computing

Learn how hybrid app development is pulling ahead of native in the constantly changing and fluctuating mobile ecosystem.

· Mobile Zone

Launching an app doesn’t need to be daunting. Whether you’re just getting started or need a refresher on mobile app testing best practices, this guide is your resource! Brought to you in partnership with Perfecto.

The jury is out on which type of mobile app is the future of mobile computing. The stats point to native being the dominant app type in use. Most of the top 100 apps in the app stores are native, and comScore reports that 50% of all time spent digitally is spent on mobile apps (though it doesn’t give a split between native and hybrid), and just 7% is spent on mobile web apps.

Digital Time Spent in July 2016

Source: comScore

While native apps are great for engagement, mobile websites still draw a majority of traffic. Applause accurately says, “The Web Gets Eyeballs, Apps Keep Them.”

Top 1k Mobile Apps v Top 1k Mobile Web Properties

Source: comScore

Clearly, relying on native mobile apps is not enough. For this reason, Bloomberg and many large mobile app publishers use both web and native mobile apps, not wanting to miss out on either. However, this is far from efficient. What we need is to build and ship mobile apps much like web apps—Deploy once, and it works across all platforms. Fortunately, there are exciting developments on this front.

There are two strong currents in mobile app development bound to intersect in the near future. On one side, there are many app development frameworks that help you build hybrid apps with native-like functionality. These include frameworks like React nativeCordovaNativeScript, and Ionic. They promise the best of both worlds- use HTML, JavaScript and CSS to build mobile apps, and let those apps access native device functionality.

On the other side, the two major mobile platforms, iOS and Android, are taking steps to make mobile web apps function like native apps, allowing web apps to place their icons on the homescreen or app drawer, send notifications, and even leverage device functionality. Google’s Progressive Web Apps are the most recent development in this regard, and there are already numerous examples of apps that have gone progressive.

As these two trends converge in the future, they will lead to a shift from native mobile apps to hybrid apps. There are a couple of reasons why hybrid apps are set to trump native apps in the near future:

App Store Limitations

Today, releasing a native mobile app involves packaging the code, submitting it to the app store, and waiting for it to be approved. The entire process can take anywhere from two to seven days. This is an eternity in the mobile world. Mobile app developers (especially those that already practice DevOps for their web apps) want to be able to update their mobile apps like their web apps, multiple times a day if necessary. This is not possible with the limitations of app stores, and hybrid apps are the way out.

Code Reuse

As most apps have an iOS and an Android version, they are developed using each platform’s preferred programming language- Objective-C or Swift for iOS, and Java for Android. Hybrid apps, on the other hand, let you build mobile apps with the same languages your developers are already familiar with- HTML, JavaScript, and CSS. You can write code once, and deploy it across all your mobile platforms. Mobile app testing equally benefits because you don’t need to write unique test scripts for each app type. Testing against a single codebase also reduces the testing infrastructure you need and simplifies the QA process. With the increasing fragmentation in device types and OS versions, this is becoming a necessity for mobile development.

The Rising Talent Gap

Code.org estimates there will be 1.4 million computing jobs available by 2020, and only 400,000 computer science students. This is also true for mobile development. Truly great iOS and Android developers are a rare find. It’s a better strategy to make the best use of the existing talent you have than to leave your mobile development at the mercy of scarcely available new talent.

Faster Time to Market

The popularity of mobile apps rises and falls faster than their web counterparts. Ratings, reviews, installs, daily active users and churn rate all add up to decide the fate of a mobile app. In this fast-paced world, hybrid moves you faster from idea to app than native.

DevOps for Mobile

Finally, hybrid apps let you extend DevOps to your mobile apps, too. They let you go from mammoth quarterly app updates to a bi-weekly cycle, and eventually let you update as frequently as your web app- which is close to impossible with native apps today. To update at this frequency, you’ll need to automate the two key parts of your continuous integration (CI) process: builds and tests. This is where tools like Git, Jenkins, and Appium have a key role to play. When well-integrated, they can let you focus exclusively on developing and testing your app, rather than worrying about mobile platforms’ norms. This gives you the confidence to release multiple times a day, and take ownership of your mobile development process.

This post will sound too one-sided if I ignore the fact that as of today, native apps deliver a much better and faster UI than hybrid apps. This is the single biggest reason they’re so popular with developers and users alike. However, hybrid apps are fast approaching native-like functionality. All of the reasons above add up to show why native apps, though the de facto choice for many today, can’t hold that position for too long.

The mobile ecosystem changes faster than we’d like to believe. And it won’t be long before we look back at how primitive our mobile app development was in the era of app stores and their policing of native apps. Hybrid apps are the future of mobile computing.

Keep up with the latest DevTest Jargon with the latest Mobile DevTest Dictionary. Brought to you in partnership with Perfecto.

Facebook Announces “Typing-by-Brain” Project

Facebook Announces “Typing-by-Brain” Project

A woman stands on stage at Facebook's developer conference. Behind her a giant screen displays the text: "So what if you could type directly from your brain?"
Photo: Stephen Lam/Reuters

First it was Elon Musk, now Facebook. Suddenly, all the big Silicon Valley players want to get into brain tech.

Yesterday Facebook announced that it’s working on a “typing by brain” project. At its developer conference, Facebook executive Regina Dugan promised that this brain-computer interface will decode signals from the brain’s speech center at the remarkable rate of 100 words per minute.

Dugan, who runs the Facebook moonshot lab known as Building 8, said the technology for decoding brain signals will be non-invasive. That sets Facebook’s efforts apart from Elon Musk’s mysterious new Neuralace company, which is working on tiny implants called neural dust that would likely be embedded in the blood vessels of the brain. Dugan said that Facebook has no plans for an invasive implant, saying, “Implanted electrodes simply won’t scale.”

A person with a cable connected to their head looks at a computer screen where a cursor is picking out letters in a typing program.
Photo: Stanford University
Earlier this year a group of Stanford researchers set a new speed record for typing-by-brain: A paralyzed patient typed 8 words per minute using a brain implant. It’s not clear how Facebook plans to achieve 100 words per minute using non-invasive technology.

The promise of 100 words per minute represents quite a leap from the current speed record. In February, Stanford researchers enabled a paralyzed patient to type 8 words per minute—and that was using a device implanted in his brain. In that experiment the implant was placed in the patient’s motor cortex, and he imagined moving a cursor over a screen to select letters.

Jaimie Henderson, the Stanford neurosurgeon who co-led that research, says his team searched the scientific literature for prior examples of typing-by-brain technology for people with paralysis, looking at both invasive and non-invasive systems.

The highest performing non-invasive system they found was a 2008 study from a research group in Germany that worked with ALS patients. That 2008 study “reported performance of between 1.5 and 4.1 correct characters per minute,” Henderson told IEEE Spectrum. “Assuming an average of 5 letters per word, this is between 0.3 and 0.82 words per minute.” He added that other groups are working on non-invasive systems for able-bodied people, but he hasn’t looked into those speed records.

An illustration shows a transparent human skull with a brain inside, with one region in the frontal lobe highlighted in red.
Image: Wikimedia Commons
A 19th century French physician discovered in the 1860s that a brain region called Broca’s area is involved in speech production. Facebook hasn’t divulged whether its BCI will target that region or one of the many others involved in speech.

While Dugan said Facebook’s technology will read from the brain’s speech center, it’s not clear which brain region she’s referring to. A region in the frontal lobe called Broca’s area has been known to be involved in speech production since the 1860s, but today’s neuroscientists are still figuring out the roles that many other brain regions play in speech planning and articulation.

The non-invasive technology capable of pulling off this technical feat is also still a mystery. Most non-invasive brain studies rely on EEG, where scalp electrodes provide a rough general readout of the activity of large groups of neurons.

But Facebook has something else in mind. Dugan said that the gear will use optical imaging, and Facebook press release stressed that optical imaging “is the only non-invasive technique capable of providing both the spatial and temporal resolution we need.” A Facebook spokesperson wouldn’t provide any technical details on the approach, saying only that the Building 8 team is developing optical sensors that can be worn on the body. This tech doesn’t exist yet, but they’re working on it.

To try to get some insight, IEEE Spectrum contacted an expert on speech and language processing in the brain: Thomas Naselaris, an assistant professor at the Medical University of South Carolina. Prior non-invasive “brain spellers” have relied on EEG or fMRI, he said, but those systems can’t decode brain signals with high fidelity, so they often rely on the user making binary choices to winnow down a group of letters until they get to the letter they intend to type. It’s a tedious and slow process, he said.

For Facebook to achieve whole-word or sentence decoding, they’ll have to use a drastically different brain imaging system, he said. “Our understanding of the way that words and their phonological and semantic attributes are encoded in brain activity is actually pretty good currently, but much of this understanding has been enabled by fMRI, which is noninvasive but very slow and not at all portable,” he said. “So I think that the bottleneck will be the imaging technology.”

Mark Zuckerberg added his perspective on the news in a post soon after the announcement, presenting the brain-typing project as a natural evolution of Facebook’s mission to help people share their interior worlds. If they like sharing comments, photos, and videos, why not directly share their thoughts too?

Our brains produce enough data to stream 4 HD movies every second. The problem is that the best way we have to get information out into the world — speech — can only transmit about the same amount of data as a 1980s modem. We’re working on a system that will let you type straight from your brain about 5x faster than you can type on your phone today. Eventually, we want to turn it into a wearable technology that can be manufactured at scale. Even a simple yes/no “brain click” would help make things like augmented reality feel much more natural.

Facebook also sought to get ahead of privacy concerns. The underlying message: Don’t worry about the social network introducing a direct thought-to-comment feature that tells your friends what you really think about their posts. Just read the press release and rest assured:

This isn’t about decoding random thoughts. This is about decoding the words you’ve already decided to share by sending them to the speech center of your brain. Think of it like this: You take many photos and choose to share only some of them. Similarly, you have many thoughts and choose to share only some of them.

We’ll give you updates if any details emerge about which brain region Facebook is targeting and what technology they’ll use to extract the signal.

The Facebook spokesperson did divulge a few names of researchers who have been recruited to this effort: Edward Chang at UC San Francisco, Nathan Crone and and Mike Wolmetz at Johns Hopkins University, and Jack Gallant at UC Berkeley. These researchers study the neural circuitry of speech and are investigating where semantic concepts are organized and accessed in the brain. It will be interesting to see what they do for Facebook.

How to apply a design thinking, HCD, UX or any creative process from scratch

How to apply a design thinking, HCD, UX or any creative process from scratch

This how-to article aims at providing designers, creative thinkers or even project managers with a tool to set up, frame, organise, structure, run or manage design challenges, and projects: The Double Diamond revamped.

The Double Diamond revamped

In order to do so, I have come up with an own and a revamped version of the Double Diamond process. In case, you are familiar with the British Design Council’s Double Diamond, IDEO’s human centred design ideology or @d.school’s Design Thinking process you might be familiar with the majority of approaches, steps and tools in the following paragraphs of this article.

Design Council’s Double Diamond, img source: http://static1.squarespace.com/static/55fa0341e4b06660c65bd4f0/t/5642c682e4b0b633d4fcc1fd/1447216776499/
IDEO HCD process, img source: https://cdn.evbuc.com/eventlogos/160332149/designthinkingphases.png
Stanford d.school Design Thinking process, img source: http://dschool.stanford.edu/wp-content/uploads/2012/02/steps-730×345.png

Understanding people

According to Don Norman, the human centred design process starts with a good understanding of people and the needs that the design is intended to meet. Various companies, organisations and educational institutions have taken on this challenge and have therefore come up with models in order to provide structure to the process of human centred design or design thinking.

Chilli Con Carne and the Double Diamond

When you cook a chilli con carne for the first time, you might start off with a recipe that appeals to you. Once you have burned your tongue a couple of times, you either go easy on the spices, or you even spice it up as you can’t get enough of the burning. Generally speaking, you tweak the original recipe to your own needs and taste.

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Google’s Improbable Deal to Recreate the Real World in VR | WIRED

GOOGLE’S IMPROBABLE DEAL TO RECREATE THE REAL WORLD IN VRISLAND CREATOR, FROM WORLDS ADRIFT, BY BOSSA STUDIOS.LET A THOUSAND virtual worlds rain down from the clouds. Or rather, the cloud. That’s the call from Google as it gets behind a tiny British startup called Improbable.

Founded by two Cambridge graduates and backed by $20 million in funding from the venture capitalists at Andreessen Horowitz, Improbable offers a new way of building virtual worlds, including not just immersive games à la Second Life or World of Warcraft, but also vast digital simulations of real cities, economies, and biological systems. The idea is that these virtual worlds can run in a holistic way across a practically infinite network of computers, so that they can expand to unprecedented sizes and reach new levels of complexity.

Fuente: Google’s Improbable Deal to Recreate the Real World in VR | WIRED