498 Learning Resources for UX Mastery

Content is no longer King. Experience now rules.3atcoffee

The King is dead, long live the King.

The volume of content on the Internet has reached absurd proportions. Trillions of pieces of new readable, viewable content are produced every day – far exceeding the capacity of the human race to consume even a small fraction of it. And the retention rate of readable, viewable content is only 10%.
Social media growth has stopped. People are burned out. They’re deleting their social apps and abandoning their social accounts in droves.

The future is experience.

Here are 498 leading-edge resources to help you master interactive experience – to attract, engage, and wow your audience.

There’s a lot more:

Get 398 more resources in 69 more categories.

Here are hundreds of resources to learn about and apply the very latest advances in interactive experience. To set yourself apart from the flood of content online today and the massive noise coming from social media, you must create the most engaging, memorable, and bullet-proof user experiences possible. Be sure to click for another 398 resources, in addition to everything below.

functional-posterAdaptive Design: Detects the device and other features, and then provides the appropriate feature and layout based on a predefined set of viewport sizes and other characteristics (css-tricks.com); there isn’t one layout that always changes. Instead, there are several distinct layouts for multiple screen sizes. And the layout used depends on the screen size used (mediumwell.com).

Anticipatory Design
: When decisions are made and executed on behalf of the user, thus eliminating the need for choice. Anticipatory design is based on previous knowledge of user behaviors. The goal of this type of design is to essentially relieve the user of any decision making because the choices are instead made for her. The elimination of decision reduces steps, and thus reduces task time. The key here is automation through machine learning (UX 35).

From aashehadeh at https://www.flickr.com/photos/73044296@N00/8366351491Big Data, UX Analytics: UX data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include user analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy (Google). With UX Analytics, the challenge is extracting user behavior, including trends, root cause, and actionable outcomes that improve the user experience.

Biometrics: The measurement and analysis of unique physical or behavioral characteristics (as fingerprint or voice patterns) especially as a means of verifying personal identity.

Bots, Artificial intelligence
: The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages (Google). In user interface design, bots are software applications that run automated tasks for the user. Typically, bots perform tasks that are both simple and structurally repetitive, at a much higher rate than would be possible for a human alone, and they are capable of learning user preferences.

Experiential Learning and Design
: Experience is now the leading driver of user engagement and response. Content approaches are saturated, as trillions of pieces of new content are created daily. The volume of new readable content daily is roughly 10,000 times the number of people who could consume it – and readable content has an average retention rate of 10%. Be prepared for the new age: the Age of the Experience.

Internet of Things
(IoT): The internetworking of physical devices, vehicles (also referred to as “connected devices” and “smart devices”), buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.The Global Standards Initiative on Internet of Things (IoT-GSI) defined the IoT as “the infrastructure of the information society.” The IoT allows objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit (Wikipedia).


gearsMachine Learning: A type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data (Tech Target).

New Interfaces: Innovations in the ways that humans interact with machines, especially computing machines, that advance way beyond the traditional mouse, keyboard, and computer screen. These include advances in the role the human body in human-computer interactions, such as gestures, eye movement, voice, body sensors, and even brainwave controls, as well as how the computing devices respond and even anticipate human needs, including anticipatory design, adaptive interfaces, personalized machine learning, and virtual and augmented reality.

dreamstime_xs_32437610Personalization: In more common applications, a strategy that relies on visitor data to deliver relevant content based on audience interests and motivations. It ranges from a highly targeted call to action to a revolving landing page based on geographic or industry-specific segments (Content Marketing Institute). In more advanced contexts, it includes machine learning, anticipatory design, smart bots, and devices that adapt to their users.

Speech and Voice Recognition and Controls: The ability of a machine or program to identify words and phrases in spoken language and convert them to a machine-readable format and the execution of tasks. In simplest terms, it converts spoken words to digital text. In more advanced contexts, it involves ‘understanding’ of the meaning of the words by the machine, enabling the machine to take actions based on those meanings.


dreamstime_xs_59200480Storytelling Experience and User-driven Story Mapping: Arranges user stories into a useful model to help understand the functionality of the system, identify holes and omissions, and effectively plan holistic functions that deliver value to users and the marketplace (Scrum Alliance). Each high-level user activity is decomposed into a workflow that can be further decomposed into a set of detailed tasks (Innolution).

Touch, Gestures, Eye Movement: Communication from human to computing device through movement of fingers, hands, eyes, and other body parts. May involve physically touching the device being controlled, but in newer interfaces and user experiences, no contact is required.

Trends in General
– User Interfaces, User Experience, and related: Major new technologies, tools, science, methods, applications, and needs in the realm of human-computer interactions.

Virtual Reality, Augmented Reality: VR is the computer-generated simulation of a three-dimensional image or environment that can be interacted with in a seemingly real or physical way by a person using special electronic equipment, such as a helmet with a screen inside or gloves fitted with sensors; AR is a technology that superimposes a computer-generated image on a user’s view of the real world, thus providing a composite view.

Wearables: Wearable technology (also called wearable gadgets) is a category of technology devices that can be worn by a user and often include tracking information related to health and fitness. Other wearable tech gadgets include devices that have small motion sensors to take photos and sync with mobile devices (Webopedia).

There’s a lot more: Get 398 more resources in 69 more categories.

bobberry498 Learning Resources for UX Mastery

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