My presentation that I gave at FITC Toronto 2009. It focuses on how we see and introduces the idea of how to design to make your visuals as visually efficient as possible for our brains to see & process.
Design that’s easy on the brain
with Ryan Coleman
Presented on March 07 2015
at FITC's Spotlight UX/UI
More info at www.fitc.ca
It’s one thing to make design that’s easy on the eyes – but how about designs that are easy on the brain? How we see the world is incredibly complex – very little of the world is in focus at any one time, and our brain is required to do a lot of the heavy lifting to let us see what we see. Have you ever wondered why certain colours work together better than others? how irritating it is when two things aren’t perfectly aligned? or why yours eye goes straight to that flashing icon in the bottom of the screen? To take in the vast amount of information our eyes provide to our brain it’s had to come up with some quick shortcuts that let it make sense of what we’re seeing – In this session we’ll dive into those shortcuts and examine how we can improve our designs by using them to our advantage.
OBJECTIVE
Help design professionals understand the way we process what we see in the world and how designing to appeal to our base visual processes can result in better overall designs.
TARGET AUDIENCE
Anyone responsible for creating visuals, documents or images that other people will look at
FIVE THINGS AUDIENCE MEMBERS WILL LEARN
A deeper understanding of how we process the world around us
The difference between what we see and how we see
How to train your viewers brain to understand your designs more efficiently
Easy to remember rules for creating brain pleasing designs
Why Waldo is so damn hard to find.
Replication in Data Science - A Dance Between Data Science & Machine Learning...June Andrews
We use Iterative Supervised Clustering as a simple building block for exploring Pinterest's Content. But simplicity can unlock great power and with this building block we show the shocking result of how hard it is to replicated data science conclusions. This begs us to challenge the future for When is Data Science a House of Cards?
Design that’s easy on the brain
with Ryan Coleman
Presented on March 07 2015
at FITC's Spotlight UX/UI
More info at www.fitc.ca
It’s one thing to make design that’s easy on the eyes – but how about designs that are easy on the brain? How we see the world is incredibly complex – very little of the world is in focus at any one time, and our brain is required to do a lot of the heavy lifting to let us see what we see. Have you ever wondered why certain colours work together better than others? how irritating it is when two things aren’t perfectly aligned? or why yours eye goes straight to that flashing icon in the bottom of the screen? To take in the vast amount of information our eyes provide to our brain it’s had to come up with some quick shortcuts that let it make sense of what we’re seeing – In this session we’ll dive into those shortcuts and examine how we can improve our designs by using them to our advantage.
OBJECTIVE
Help design professionals understand the way we process what we see in the world and how designing to appeal to our base visual processes can result in better overall designs.
TARGET AUDIENCE
Anyone responsible for creating visuals, documents or images that other people will look at
FIVE THINGS AUDIENCE MEMBERS WILL LEARN
A deeper understanding of how we process the world around us
The difference between what we see and how we see
How to train your viewers brain to understand your designs more efficiently
Easy to remember rules for creating brain pleasing designs
Why Waldo is so damn hard to find.
Replication in Data Science - A Dance Between Data Science & Machine Learning...June Andrews
We use Iterative Supervised Clustering as a simple building block for exploring Pinterest's Content. But simplicity can unlock great power and with this building block we show the shocking result of how hard it is to replicated data science conclusions. This begs us to challenge the future for When is Data Science a House of Cards?
An experiment at Pinterest revealed somewhat shocking results. When nine data scientists and ML engineers were asked the same constrained question, they gave nine spectacularly different answers. The implications for business are astronomical. June Andrews and Frances Haugen explore the aspects of analysis that cause differences in conclusions and offer some solutions.
Think Like Your Visitors to Increase Website ConversionsErik Johnson
To have an effective website, you need to understand the psychology of your visitors and what engages them. In this talk, I walk through some key behavioral psychology concepts and how they apply to your site.
"You Can Do It" by Louis Monier (Altavista Co-Founder & CTO) & Gregory Renard (CTO & Artificial Intelligence Lead Architect at Xbrain) for Deep Learning keynote #0 at Holberton School (http://www.meetup.com/Holberton-School/events/228364522/)
If you want to assist to similar keynote for free, checkout http://www.meetup.com/Holberton-School/
The (very) basics of AI for the Radiology residentPedro Staziaki
The (very) basics of AI for the Radiology resident.
Also on YouTube: https://youtu.be/ia90UKjlmBA
Artificial Intelligence, Machine Learning, Deep Learning, CNN, Convolutional Neural Networks, Support Vector Machine (SVM), GPU. Felipe Kitamura. Pedro Vinícius Staziaki.
Bringing Science to Software DevelopmentArty Starr
Twenty-five years ago, Peter Senge wrote “The Fifth Discipline”, considered the seminal text for how to build a learning organization. With obvious benefits, and the recipe needed for success, why don't we see more learning organizations? That was twenty-five years ago!
As Ash Maurya pointed out in his new book, Scaling Lean, “The goal isn't learning, the goal is traction.” Without a process that helps us turn learning into momentum, a culture of learning gets us nowhere. Without a strategy to overcome the challenges of distributed decision-making, we still make most decisions in ignorance.
Let's dust off these old ideas in light of all the discoveries we've made over the last decade in Lean Startup, Agile, and Continuous Delivery.
What are the critical elements that are missing in our organizations that prevent us from building a learning organization? What are the key obstacles to success?
In this talk, we'll breakdown the concept of a learning organization into discrete system components and analyze the requirements like engineers. Then we'll discuss a strategy for overcoming the challenges and iteratively transforming our organizations into learning organizations. From the building blocks of culture, to the design of organizational architecture, we'll build a roadmap for learning how to learn together.
Want to learn your way to being an AWESOME company? Learn how to become a learning organization.
Slides for "Intro to Systems Thinking" workshop. Session details and resources available here: http://pwoessner.wikispaces.com/Introduction+to+Systems+Thinking
Behaviour change is the measurable outcome of good UX design. Here's a review of a few design techniques and processes to help UX designers to create sustainable behaviour change.
We've been taught that "data science" is the esoteric domain of PhDs,
but like anything else, it's easy once you understand it. This talk
explains the basics of data science, covering concepts in supervised
learning (including a detailed explanation of decision trees and
random forests) as well as examples of unsupervised learning
algorithms. Far from being a dry and academic topic, data science and machine learning are useful and practical analytical tools. (This talk is intended for a general audience.)
Topics will include:
1) An introduction to supervised learning using the popular decision
tree algorithm
2) The concepts of training and scoring, and the meaning of "real time"
machine learning
3) Model validation using holdout sets
4) Model complexity and overfitting; understanding bias and variance;
using ensembles to reduce variance
5) An overview of unsupervised learning models including clustering,
topic modeling and anomaly detection
and more!
Deck from the talk "Getting Innovative @#!% Done" that I delivered at the 2012 eat:Strategy conference in Toronto, ON. This deck is modified slightly to add basic talking points so it makes a little more sense to those who weren't there.
An experiment at Pinterest revealed somewhat shocking results. When nine data scientists and ML engineers were asked the same constrained question, they gave nine spectacularly different answers. The implications for business are astronomical. June Andrews and Frances Haugen explore the aspects of analysis that cause differences in conclusions and offer some solutions.
Think Like Your Visitors to Increase Website ConversionsErik Johnson
To have an effective website, you need to understand the psychology of your visitors and what engages them. In this talk, I walk through some key behavioral psychology concepts and how they apply to your site.
"You Can Do It" by Louis Monier (Altavista Co-Founder & CTO) & Gregory Renard (CTO & Artificial Intelligence Lead Architect at Xbrain) for Deep Learning keynote #0 at Holberton School (http://www.meetup.com/Holberton-School/events/228364522/)
If you want to assist to similar keynote for free, checkout http://www.meetup.com/Holberton-School/
The (very) basics of AI for the Radiology residentPedro Staziaki
The (very) basics of AI for the Radiology resident.
Also on YouTube: https://youtu.be/ia90UKjlmBA
Artificial Intelligence, Machine Learning, Deep Learning, CNN, Convolutional Neural Networks, Support Vector Machine (SVM), GPU. Felipe Kitamura. Pedro Vinícius Staziaki.
Bringing Science to Software DevelopmentArty Starr
Twenty-five years ago, Peter Senge wrote “The Fifth Discipline”, considered the seminal text for how to build a learning organization. With obvious benefits, and the recipe needed for success, why don't we see more learning organizations? That was twenty-five years ago!
As Ash Maurya pointed out in his new book, Scaling Lean, “The goal isn't learning, the goal is traction.” Without a process that helps us turn learning into momentum, a culture of learning gets us nowhere. Without a strategy to overcome the challenges of distributed decision-making, we still make most decisions in ignorance.
Let's dust off these old ideas in light of all the discoveries we've made over the last decade in Lean Startup, Agile, and Continuous Delivery.
What are the critical elements that are missing in our organizations that prevent us from building a learning organization? What are the key obstacles to success?
In this talk, we'll breakdown the concept of a learning organization into discrete system components and analyze the requirements like engineers. Then we'll discuss a strategy for overcoming the challenges and iteratively transforming our organizations into learning organizations. From the building blocks of culture, to the design of organizational architecture, we'll build a roadmap for learning how to learn together.
Want to learn your way to being an AWESOME company? Learn how to become a learning organization.
Slides for "Intro to Systems Thinking" workshop. Session details and resources available here: http://pwoessner.wikispaces.com/Introduction+to+Systems+Thinking
Behaviour change is the measurable outcome of good UX design. Here's a review of a few design techniques and processes to help UX designers to create sustainable behaviour change.
We've been taught that "data science" is the esoteric domain of PhDs,
but like anything else, it's easy once you understand it. This talk
explains the basics of data science, covering concepts in supervised
learning (including a detailed explanation of decision trees and
random forests) as well as examples of unsupervised learning
algorithms. Far from being a dry and academic topic, data science and machine learning are useful and practical analytical tools. (This talk is intended for a general audience.)
Topics will include:
1) An introduction to supervised learning using the popular decision
tree algorithm
2) The concepts of training and scoring, and the meaning of "real time"
machine learning
3) Model validation using holdout sets
4) Model complexity and overfitting; understanding bias and variance;
using ensembles to reduce variance
5) An overview of unsupervised learning models including clustering,
topic modeling and anomaly detection
and more!
Deck from the talk "Getting Innovative @#!% Done" that I delivered at the 2012 eat:Strategy conference in Toronto, ON. This deck is modified slightly to add basic talking points so it makes a little more sense to those who weren't there.
I delivered this presentation at the Canadian Association of Journalists "Innovate News" conference in Toronto, ON on January 30, 2010. The topic was "Visual Thinking and the Writing Process" and looks at visual techniques that writers could use in brainstorming, gathering information and developing their stories.
10 Photography Quotes that You Should KnowRyan Coleman
A slideshow of 10 Quotes everyone should know, as assembled by Hákon Ágústsson in his same titled post at Digital-Photography-School.com
Check out the original post here: http://bit.ly/Dl31l
Overcoming the Language Barrier: Considering TranslationRyan Coleman
Quick presentation I threw together for the EnterpriseCamp in Toronto, ON (May 29/07). It covers some considerations around the neccessity of translation, your options for having it done and some things you should consider.
((Pls. excuse the font issues - slideshare doesn't seem to like a couple of them)
MRS PUNE 2024 - WINNER AMRUTHAA UTTAM JAGDHANEDK PAGEANT
Amruthaa Uttam Jagdhane, a stunning woman from Pune, has won the esteemed title of Mrs. India 2024, which is given out by the Dk Exhibition. Her journey to this prestigious accomplishment is a confirmation of her faithful assurance, extraordinary gifts, and profound commitment to enabling women.
Have you ever wondered about the lost city of Atlantis and its profound connection to our modern world? Ruth Elisabeth Hancock’s podcast, “Visions of Atlantis,” delves deep into this intriguing topic in a captivating conversation with Michael Le Flem, author of the enlightening book titled “Visions of Atlantis.” This podcast episode offers a thought-provoking blend of historical inquiry, esoteric wisdom, and contemporary reflections. Let’s embark on a journey of discovery as we unpack the mysteries of ancient civilizations and their relevance to our present existence.
Care Instructions for Activewear & Swim Suits.pdfsundazesurf80
SunDaze Surf offers top swimwear tips: choose high-quality, UV-protective fabrics to shield your skin. Opt for secure fits that withstand waves and active movement. Bright colors enhance visibility, while adjustable straps ensure comfort. Prioritize styles with good support, like racerbacks or underwire tops, for active beach days. Always rinse swimwear after use to maintain fabric integrity.
The Fascinating World of Bats: Unveiling the Secrets of the Nightthomasard1122
The Fascinating World of Bats: Unveiling the Secrets of the Night
Bats, the mysterious creatures of the night, have long been a source of fascination and fear for humans. With their eerie squeaks and fluttering wings, they have captured our imagination and sparked our curiosity. Yet, beyond the myths and legends, bats are fascinating creatures that play a vital role in our ecosystem.
There are over 1,300 species of bats, ranging from the tiny Kitti's hog-nosed bat to the majestic flying foxes. These winged mammals are found in almost every corner of the globe, from the scorching deserts to the lush rainforests. Their diversity is a testament to their adaptability and resilience.
Bats are insectivores, feeding on a vast array of insects, from mosquitoes to beetles. A single bat can consume up to 1,200 insects in an hour, making them a crucial part of our pest control system. By preying on insects that damage crops, bats save the agricultural industry billions of dollars each year.
But bats are not just useful; they are also fascinating creatures. Their ability to fly in complete darkness, using echolocation to navigate and hunt, is a remarkable feat of evolution. They are also social animals, living in colonies and communicating with each other through a complex system of calls and body language.
Despite their importance, bats face numerous threats, from habitat destruction to climate change. Many species are endangered, and conservation efforts are necessary to protect these magnificent creatures.
In conclusion, bats are more than just creatures of the night; they are a vital part of our ecosystem, playing a crucial role in maintaining the balance of nature. By learning more about these fascinating animals, we can appreciate their importance and work to protect them for generations to come. So, let us embrace the beauty and mystery of bats, and celebrate their unique place in our world.
Johnny Depp Long Hair: A Signature Look Through the Yearsgreendigital
Johnny Depp, synonymous with eclectic roles and unparalleled acting prowess. has also been a significant figure in fashion and style. Johnny Depp long hair is a distinctive trademark among the various elements that define his unique persona. This article delves into the evolution, impact. and cultural significance of Johnny Depp long hair. exploring how it has contributed to his iconic status.
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Introduction
Johnny Depp is an actor known for his chameleon-like ability to transform into a wide range of characters. from the eccentric Captain Jack Sparrow in "Pirates of the Caribbean" to the introspective Edward Scissorhands. His long hair is one constant throughout his evolving roles and public appearances. Johnny Depp long hair is not a style choice but a significant aspect of his identity. contributing to his allure and mystique. This article explores the journey and significance of Johnny Depp long hair. highlighting how it has become integral to his brand.
The Early Years: A Budding Star with Signature Locks
1980s: The Rise of a Young Heartthrob
Johnny Depp's journey in Hollywood began in the 1980s. with his breakout role in the television series "21 Jump Street." During this time, his hair was short, but it was already clear that Depp had a penchant for unique and edgy styles. By the decade's end, Depp started experimenting with longer hair. setting the stage for a lifelong signature.
1990s: From Heartthrob to Icon
The 1990s were transformative for Johnny Depp his career and personal style. Films like "Edward Scissorhands" (1990) and "Benny & Joon" (1993) saw Depp sporting various hair lengths and styles. But, his long, unkempt hair in "What's Eating Gilbert Grape" (1993) began to draw significant attention. This period marked the beginning of Johnny Depp long hair. which became a defining feature of his image.
The Iconic Roles: Hair as a Character Element
Edward Scissorhands (1990)
In "Edward Scissorhands," Johnny Depp's character had a wild and mane that complemented his ethereal and misunderstood persona. This role showcased how long hair Johnny Depp could enhance a character's depth and mystery.
Captain Jack Sparrow: The Pirate with Flowing Locks
One of Johnny Depp's iconic roles is Captain Jack Sparrow from the "Pirates of the Caribbean" series. Sparrow's long, dreadlocked hair symbolised his rebellious and unpredictable nature. The character's look, complete with beads and trinkets woven into his hair. was a collaboration between Depp and the film's costume designers. This style became iconic and influenced fashion trends and Halloween costumes worldwide.
Other Memorable Characters
Depp's long hair has also been featured in other roles, such as Ichabod Crane in "Sleepy Hollow" (1999). and Roux in "Chocolat" (2000). In these films, his hair added a layer of authenticity and depth to his characters. proving that Johnny Depp with long hair is more than a style—it's a storytelling tool.
Off-Screen Influenc
La transidentité, un sujet qui fractionne les FrançaisIpsos France
Ipsos, l’une des principales sociétés mondiales d’études de marché dévoile les résultats de son étude Ipsos Global Advisor “Pride 2024”. De ses débuts aux Etats-Unis et désormais dans de très nombreux pays, le mois de juin est traditionnellement consacré aux « Marches des Fiertés » et à des événements festifs autour du concept de Pride. A cette occasion, Ipsos a réalisé une enquête dans vingt-six pays dressant plusieurs constats. Les clivages des opinions entre générations s’accentuent tandis que le soutien à des mesures sociétales et d’inclusion en faveur des LGBT+ notamment transgenres continue de s’effriter.
13. You don’t have to use the data just because it’s there *
14. U.S. Pet Ownership — 2007 Source: American Veterinary Medical Association Dogs Cats Birds Horses Percent of households owning 37.20% 32.40% 3.90% 1.80% Number of households owning 43,021,000 37,460,000 4,453,000 2,087,000 Average number owned per household 1.7 2.2 2.5 3.5 Total number in United States 72,114,000 81,721,000 11,199,000 7,295,000 Veterinary visits per household per year (mean) 2.6 1.7 0.3 2.2 Veterinary expenditure per household per year (mean) $356 $190 $25 $360 Veterinary expenditure per animal (mean) $200 $81 $9 $92
15. U.S. Pet Ownership — 2007 Source: American Veterinary Medical Association Dogs Cats Birds Horses Percent of households owning 37.20% 32.40% 3.90% 1.80% Number of households owning 43,021,000 37,460,000 4,453,000 2,087,000 Average number owned per household 1.7 2.2 2.5 3.5 Total number in United States 72,114,000 81,721,000 11,199,000 7,295,000 Veterinary visits per household per year (mean) 2.6 1.7 0.3 2.2 Veterinary expenditure per household per year (mean) $356 $190 $25 $360 Veterinary expenditure per animal (mean) $200 $81 $9 $92
16. U.S. Pet Ownership (2007) % of Houses Owning Dogs Cats Birds Horses Percent of households owning 37.20% 32.40% 3.90% 1.80% Number of households owning 43,021,000 37,460,000 4,453,000 2,087,000 Average number owned per household 1.7 2.2 2.5 3.5 Total number in United States 72,114,000 81,721,000 11,199,000 7,295,000 Veterinary visits per household per year (mean) 2.6 1.7 0.3 2.2 Veterinary expenditure per household per year (mean) $356 $190 $25 $360 Veterinary expenditure per animal (mean) $200 $81 $9 $92
50. Aoccdrnig to rscheearch at Cmabrigde uinervtisy, it deosn't mttaer waht oredr the ltteers in a wrod are, the olny iprmoetnt tihng is taht the frist and lsat ltteres are at the rghit pclae. The rset can be a tatol mses and you can sitll raed it wouthit a porbelm. Tihs is bcuseae we do not raed ervey lteter by it slef but the wrod as a wlohe.
71. ... the goal of information design must be to design displays so that visual queries are processed both rapidly and correctly for every important cognitive task the display is intended to support. Colin Ware Visual Thinking for Design
72. Answering the WHERE (Understanding how we search visually)
73. Based on illustration by Colin Ware, Visual Thinking for Design Pattern Testing Eye Movement Move and Scan
113. Thanks! Web | http://ryancoleman.ca Email | [email_address] VizThink | http://vizthink.com I’ll make the deck, as well as links to suggested follow-up reading available at: http://ryancoleman.ca/fitc09 Twitter | @ryancoleman