¿Cómo cancelar mi actual cuenta Premium in Linkedin?

¿Cómo cancelo mi actual cuenta Premium?

Última revisión: 02/10/2013

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Puedes cancelar o cambiar tu cuenta Premium desde la página de Privacidad y configuración.

Para cancelar y cambiar a una cuenta básica gratuita:

1. Pasa el cursor por tu foto en la parte superior derecha de tu página de inicio y haz clic en Privacidad y configuración.
   • Puede que se te pida iniciar sesión en la cuenta para ir a la página de configuración.
2. En el recuadro superior, debajo de Tipo de cuenta, haz clic en Pasar a plan inferior o cancelar la cuenta Premium.
3. Completa el formulario y selecciona Continuar.

Cuando canceles tu cuenta Premium:

• La cancelación concluirá con la facturación y dejarás de acceder a las funcionalidades Premium al final de tu ciclo de facturación actual.
• Los cambios serán efectivos en la fecha de vencimiento de la facturación de tu suscripción actual, al final del mes para cuentas Premium mensuales y al final del año para cuentas Premium anuales.
• Tras la cancelación, perderás el acceso a todos los créditos InMail acumulados y no se te devolverán.

Pasar a un plan inferior de cuenta Premium

Puedes contactarnos para pasar a un plan inferior de cuenta Premium diferente. Cuando cambias a una cuenta Premium más barata:

• Obtienes algunas funciones Premium a una tarifa reducida.
• Al producirse el cambio, todas las funciones se reducen directamente a los números cubiertos en virtud del nuevo plan.
• Puedes cambiar de una facturación anual a una mensual O escoger un plan más barato dentro de la misma familia de cuentas Premium.
• Si tienes una cuenta Personal Plus, Job Seeker Basic, Talent Finder o Sales Basic, no puedes cambiar a un plan inferior de cuenta tú mismo en LinkedIn.com. Por favor, contáctanos si tienes una de estas cuentas y te ayudaremos.

fuente: linkedin.com

Convierte ficheros a diferentes formatos con CloudConvert

Magnífico servicio para convertir ficheros de un formato a otro. Sobretodo ebooks o videos, en micaso. He encontrado uno, que al menos, los ebooks, los hace correctamente, convirtiendo de PDF a EPUB, cosa que con Calibre, por ejemplo no había podido.

CloudConvert es muy fácil de usar, no requiere registro y, lo más importante, tiene soporte para más de 140 formatos de fichero incluyendo audio, vídeo, imagen, documentos, ebooks, presentaciones, hojas de cálculo y más.

Las conversiones de CloudConvert son rápidas y precisas, y no requieren ningún tipo de plug-in o instalación extra. La cuenta de invitado tiene ciertas limitaciones (como un tamaño máximo por fichero de 100 MB y hasta 5 conversiones diarias). Pero si te registras como usuario de forma gratuita puedes convertir hasta 25 ficheros al día de 1 GB cada uno como máximo.

Fuente: chicageek.com

Arreglando la WiFi de mi iPhone 4S

He tenido, como muchos usuarios, un problema con mi iPhone 4S - IOS7. Me quedaba deshabilitada la WiFi. Encontré los clásicos consejos de Apple, que no me sirvieron, pero que muestro a continuación, por si a alguien le valiera:

Consejos de Apple si es un problema de software

Alguna de las soluciones recomendadas por Apple cuando esto sucede:

1. Comprobar que el Modo Avión está desactivado.
2. Reiniciar el dispositivo iOS.
3. Actualiza el dispositivo iOS.
4. Restablece los ajustes de red seleccionando la opción Ajustes > General > Restablecer > Restablecer ajustes de red.
5. Restaura el dispositivo iOS en iTunes.

Yo tuve que restaurar el iPhone, puesto que los consejos anteriores no me sirvieron. Pero a las horas, volvía a tener la WiFi deshabilitada y encontré éste video en Youtube:(este video sirve si el problema es del software. Si el problema es de hardware, hay que ver el siguiente)

Otra solución si el problema es de sotfware

Si es un problema de hardware

Si el problema es del hardware, hay que cambiar la antena WiFi. Como Eduardo Gómez explica en este otro video:



En este video explican cómo cambiar la antena y no parece difícil.



La antena (original Apple) la compré por 9,15€ (gastos de envío incluidos) en Amazon:

http://www.amazon.es/Buzzer-Polif%C3%B3nico-Antena-iPhone-Negro/dp/B0088O1D3S

How to detect a mobile orientation change in Axure

You cannot resized the screen to make it fit both orientation but you can provide Axure two screens that will be shown depending on your devices' orientation. This is one of the more complex things to do and the explanation is quite lengthy.

Take a look at the attached .rp file. There you can see how it works:

orientation_change.rp

For a detailed explanation please take a look at my Axure for Mobile eBook where I describe the hack.

Cheers
l.

Source: axure.com

F-Shaped Pattern For Reading Web Content

Summary: Eyetracking visualizations show that users often read Web pages in an F-shaped pattern: two horizontal stripes followed by a vertical stripe.

F for fast. That's how users read your precious content. In a few seconds, their eyes move at amazing speeds across your website’s words in a pattern that's very different from what you learned in school.
In our new eyetracking study, we recorded how 232 users looked at thousands of Web pages. We found that users' main reading behavior was fairly consistent across many different sites and tasks. This dominant reading pattern looks somewhat like an F and has the following three components:

• Users first read in a horizontal movement, usually across the upper part of the content area. This initial element forms the F's top bar.
• Next, users move down the page a bit and then read across in a second horizontal movement that typically covers a shorter area than the previous movement. This additional element forms the F's lower bar.
• Finally, users scan the content's left side in a vertical movement. Sometimes this is a fairly slow and systematic scan that appears as a solid stripe on an eyetracking heatmap. Other times users move faster, creating a spottier heatmap. This last element forms the F's stem.

Obviously, users' scan patterns are not always comprised of exactly three parts. Sometimes users will read across a third part of the content, making the pattern look more like an E than an F. Other times they'll only read across once, making the pattern look like an inverted L (with the crossbar at the top). Generally, however, reading patterns roughly resemble an F, though the distance between the top and lower bar varies.

Heatmaps from user eyetracking studies of three websites. The areas where users looked the most are colored red; the yellow areas indicate fewer views, followed by the least-viewed blue areas. Gray areas didn't attract any fixations.
The above heatmaps show how users read three different types of Web pages:

• an article in the "about us" section of a corporate website (far left),
• a product page on an e-commerce site (center), and
• a search engine results page (SERP; far right).

If you squint and focus on the red (most-viewed) areas, all three heatmaps show the expected F pattern. Of course, there are some differences. The F viewing pattern is a rough, general shape rather than a uniform, pixel-perfect behavior.
On the e-commerce page (middle example), the second crossbar of the F is lower than usual because of the intervening product image. Users also allocated significant fixation time to a box in the upper right part of the page where the price and "add to cart" button are found.
On the SERP (right example), the second crossbar of the F is longer than the top crossbar, mainly because the second headline is longer than the first. In this case, both headlines proved equally interesting to users, though users typically read less of the second area they view on a page.

Implications of the F Pattern

The F pattern's implications for Web design are clear and show the importance of following the guidelines for writing for the Web instead of repurposing print content:

• Users won't read your text thoroughly in a word-by-word manner. Exhaustive reading is rare, especially when prospective customers are conducting their initial research to compile a shortlist of vendors. Yes, some people will read more, but most won't.
• The first two paragraphs must state the most important information. There's some hope that users will actually read this material, though they'll probably read more of the first paragraph than the second.
• Start subheads, paragraphs, and bullet points with information-carrying words that users will notice when scanning down the left side of your content in the final stem of their F-behavior. They'll read the third word on a line much less often than the first two words.

Detailed Scanning Behaviors

It's fascinating to watch the slow-motion replay of users' eye movements as they read and scan across a page. Every page has reading issues beyond the dominant F pattern I'm discussing here. For example, users scan in a different, more directed way when they're looking for prices or other numbers, and an interesting hot-potato behavior determines how users look at a list of search engine ads. We also have many findings on how people look at website images.
The biggest determinant for content usability is how users read online — and because people read differently, you have to write differently.

Full Report

Full eyetracking report on how users read on the web is available for download.

Source: nngroup.com

How People Read on the Web: The Eyetracking Evidence

We observed more than 300 people use hundreds of different websites (equaling 1.5 million fixations — or “looks” and recordings that comprise more than 300 GB of data). This 355-page report offers 83 recommendations for web writing and content layout, plus 102 detailed findings about how people read on the web, including scanning patterns revealed as we used eyetracking technology during usability tests.
The research findings are supplemented with 288 illustrations, which include the following:

• Gaze plots (dots to indicate points where a person's eyes focus)
• Heatmaps (color-coded visualizations of where many people look)
• Screenshot examples
• Graphs

Topics covered

• How to attract attention with web page design
  • Making predictable, scannable pages to improve readability
  • Average time and fixations spent on different page types and designing for them
  • Specific elements people look at and read, and why
  • Writing and arranging content to lead people through your site
• Gaze patterns users commonly exhibit and accommodating these behaviors
  • F-pattern
  • Layer Cake Pattern
  • Bypassing Pattern
  • Spotted Pattern
  • Commitment Pattern
  • Scanning vs. reading, why people do it, and how to drive user behavior with your design
• Page design patterns for specific pages such as article pages, segmented pages, and search engine results pages (SERPs)
• Gaze patterns commonly seen on SERPs and why these occur
  • Answer adequacy: Users find answers by consulting just the result titles and descriptions shown on the SERP
  • Kick effect: People look at the last result on a SERP before leaving the page. (The tenth organic result, on a page of 10 results, is the lowest result looked at in 12% of cases versus 7% combined for the seventh, eighth, and ninth results. In 59% of cases people looked no farther than the third organic result.)
  • Other patterns such as skipping, backtracking, love at first sight, zigzag, re-acclimating, and bypassing
  • Phrases that attract people, appeal to prurient interests, surprise, or degrade credibility
• Encouraging reading through web formatting techniques
  • Writing styles that improve comprehension
  • Using headings, subheadings, and page priority — how to get these right
  • Information-bearing words in links and leading sentences, and their positive effect on usability and scanning
  • Eye-catching text elements such as capital letters and bulleted lists can create interest. People looked at 29% of words that appear in all capital letters. People look at lists with bullets more often than lists without bullets (70% vs. 55%, respectively).
  • Writing for people with low literacy
• Fixed vs. liquid layout, and column width: The positives and negatives as they relate to scan patterns
• Miscues that entice users to spend fixations on them at the wrong time and for the wrong reasons
• Table layout for easiest data consumption
• Dealing with complex content
• Plan for scanning behaviors
  • Exhaustive review: People look extensively and repeatedly at an area or page because they expect the information they want to be there, but they cannot find it.
  • Directed scanning: A person looks for specific information such as a name or word and expects to find it on the page.
  • Motivated scanning: Scan patterns fueled by good page layout, interesting content, personal interest, or a trusted suggestion.
  • Impressionable scanning: A person is more open to reading the words as the author has written them.

Research Method

This report is based on a research study with 300 people aged 18 to 64 years. The method we used is Eyetracking, in which we followed people’s eye movement as they attempted activities on websites.
In addition to completing their own tasks, we asked people to attempt some of our prepared tasks (85 tasks total), ranging from very specific to very broad activities.
We conducted the study in an office and tracked each person’s eyes using eyetracking technology. The researcher sat in the same room with the participant and observe the participant’s screen in real-time using an external monitor.
After the study sessions, we analyzed each of the 1.5 million fixations that we captured. All of the studies took place in the United States, in New York City, NY and Boston, MA.

Source: nngroup.com

The Human Body as Touchscreen Replacement

Summary: When you touch your own body, you feel exactly what you touch — better feedback than any external device. And you never forget to bring your body.

Many new user interfaces go beyond a flat computer screen as the locus of the user experience. For example, Microsoft Kinect makes the entire room into the interaction space, with the user's body movements becoming the system commands. Augmented reality systems (such as some Google Glass applications) project their output onto real-world objects — such as using temperature readouts to color-code airplane engine parts so that they’re easier for repair technicians to see.
At the recent CHI 2013 research conference in Paris, I was particularly impressed with two ideas to use the human body itself as an integrated component of the user interface. The user's own body is unique relative to all other devices in one key aspect: you can feel when your body is being touched.
This sense of being touched (or not) provides important feedback that continuously informs users about what is happening. Because feedback is one of the oldest and most important usability heuristics, enhancing it is usually good.

The Hand as Input Device

Sean Gustafson, Bernhard Rabe, and Patrick Baudisch from the Hasso Plattner Institute in Germany designed a so-called imaginary interface situated within the palm of the user's hand. This UI is "imaginary" in the sense that there's nothing actually there beyond the naked hand. The photo below shows how an imaginary "mobile phone" could be fitted onto the user's left hand. As each point is touched, a specific mobile function would be activated and announced by a computerized voice.

Touching specific spots on your own hand enters the commands.

For this system to actually work, there must be some way for users to hear the computer, such as using an earbud. More important, there must be a way for the computer to know what part of the hand the user is touching. In Gustafson's research prototype, this was done with an optical motion tracker that seemed too clunky for real-world applications. But that’s okay; we can easily imagine advances in gesture recognition that would be more portable and less intrusive.
Although you won’t be able to buy a hand-phone anytime soon, it's definitely interesting to consider the potential of interfaces where users touch themselves instead of a screen.
Gustafson and colleagues performed several interesting experiments to determine how well people can use their self-touch UI. Under normal use, people were about equally fast selecting functions from a regular touchscreen phone and from the palm-based system. However, blindfolded users were almost twice as fast when touching themselves as when touching the glass surface of the phone.
Obviously, we don't want to blindfold users, though information about nonsighted use is interesting for accessibility reasons and for conditions in which people can't look at the phone.
The most interesting aspect of the finding about blindfolded use is that there is something special about touching a hand — rather than a phone — that makes users depend less on their sight. To tease out why, the researchers tested several additional conditions:

• A phone that provided tactile feedback when touched rather than a stiff pane of glass. Using the tactile phone, users were 17% faster, though the difference wasn't statistically significant given the study's sample size.
• Having users wear a finger cover to remove the finger’s sense of touch. This made no appreciable difference.
• Having users touch a fake hand, rather than their own, to remove the palm’s sense of touch. This condition slowed users down by 30%.

Combining these findings, it’s clear that the key benefit of using the hand as a "touchscreen" is that you can feel when and where you’re being touched. Indeed, that's a unique benefit of using your own body as an input device — a benefit that external devices can’t replicate.

The Ear as Input Device

Usually, we use our ears to listen. In the terminology of human–computer interaction, this means that the ears are used to consume output from the computer.
But the ear’s surface can also be used for input to communicate commands from the user to the computer.
Roman Lissermann, Jochen Huber, Aristotelis Hadjakos, and Max Mühlhäuser from the Technical University of Darmstadt (also in Germany) presented a research prototype called "EarPut" to do just that. Among other benefits, your ear is always in the same place; touching your ear is also slightly less obtrusive than touching your hand.
Possible interactions include:

• Touching part of the ear surface, with either single- or multi-touch.
• Tugging an earlobe. This interaction is particularly suited for on–off commands, such as muting a music player.
• Sliding a finger up or down along the ear arc. This might work well for adjusting volume up or down.
• Covering the ear — certainly a natural gesture for "mute."

To measure how precisely people can touch their own ears in a simple single-touch interaction, Lissermann and colleagues instrumented 27 users' ears. When they divided the ear arc into only 2 regions, participants achieved 99% accuracy. When a 3rd region was introduced, however, accuracy dropped substantially: people were still highly accurate when touching the top or bottom of their ear, but only 63% accurate when touching the middle.
Although 63% accuracy sounds good — after all, it’s better than half — it’s unacceptable for most user interface commands. Just think about using the ear to activate the 3 most common email commands: reply to sender, reply to all, and forward. Would you want to send your message to the wrong recipients 1/3 of the time?
As this research shows, ear-driven input is best for situations with an extremely limited number of commands. It might also be useful for applications in which accidentally executing a neighboring command is not a big deal; even when dividing the ear arc into 6 regions, users still achieved fairly high accuracy.

EarPut prototype from the Technical University of Darmstadt.

As the above image shows, in this early research, the prototype hardware is somewhat reminiscent of the Borg from Star Trek, and most people wouldn't want to wear it on their ears unless they were paid study participants. But it’s easy to imagine smaller, lighter, and more elegant hardware in the future.

Ubiquitous User Interfaces

In addition to offering nearly fail-proof feedback, using body parts as input devices also has another distinct advantage: the device is literally always with you — because your body is you.
Yes, people often carry their mobile phones, but they'll never be without their hands or their ears. Thus they'll never be without system functions that have been assigned to their hands or ears.
Of course, this statement is true only if users are within range of a sensor that lets the computer know when they’re touching a designated body part. So, maybe you do have to carry around a small device attached to your ear — or maybe in the future, body-based interaction could be mediated through nanobots that you swallow once and for all. Another option is to saturate the environment with surveillance cameras, though (currently, at least) many people would oppose this for privacy reasons.
Although these technical obstacles remain to be solved, it's reasonable to expect that user interfaces might be at least partly body-based in 20 or 30 years.

Source: nngroup.com