Deaf people are more heavily a ffected by the digital divide than many would expect. Moreover, most a ccessibility guidelines address ing their needs just deal with captioning and audio-content transcriptio n. However, this approach to the problem does not consider that deaf people have big troubles with vocal languages, even in their written form. At present, only a few organizations, like W3C, produced guidelines deal ing with one of their most distinctive expressions: Sign Language (SL). SL is, in fact, the visual -gestural language used by many deaf people to communicate with each other. The present work aims at supporting e-learning user experience (e - LUX) for these speci fic users by enhancing the accessibility of content and container services. In particular, we propose preliminary solutions to tailor activities which can be more fruitful when performed in one's own " native" language, which for most deaf people, especially younger ones, is represen ted by national SL.

COVID's impact on jobs and the economy has been profound and, quite honestly, confusing. On the one hand, stories of people who have lost their jobs due to the pandemic – and are now starting to lose government benefits and eviction protection – have become both commonplace and gut-wrenching. At the same time, there are signs and postings everywhere desperately looking to hire people, from large companies to small-town restaurants. Short-staffed organizations are being forced to delay orders, adjust their hours of operation, and make many other uncomfortable changes to keep their businesses alive. While there is no simple reason these often-conflicting trends are occurring simultaneously, one undeniable fact is that we're witnessing a significant and rapid-paced shift in the jobs environment.

Impact of AI on UX: The impact of artificial intelligence in each and every field is remarkably increasing in leaps and bounds. Artificial Intelligence is taking over the manual jobs at a considerably faster rate than anyone would have even imagined. And now everyone is wondering and worried whether AI will soon eat up their jobs too. No industry is left aloof by AI and one of the majorly influenced industries is the mobile application development industry. With the craze of adopting this new technology into our workflow, AI has penetrated deeply into the mobile app development processes, whether it is designing or developing.

Artificial intelligence, as a new technology field has already gained tremendous momentum and popularity across all the digital niches. From the conversational chatbots to data analytics to the user experience design, AI is now being used for an array of niche purposes. AI is all about mimicking human intelligence to serve practical business purposes. The digital assistants like Apple's Siri and Amazon Alexa are great examples of how AI can make digital interactions intelligent and user-centric. Before we go on explaining the role of AI for mobile app development and user experience design, we need to start with the basic definition of AI-first.

Artificial intelligence, as a new technology field has already gained tremendous momentum and popularity across all the digital niches. From the conversational chatbots to data analytics to the user experience design, AI is now being used for an array of niche purposes. How can AI impact mobile app development and user experience? AI is all about mimicking human intelligence to serve practical business purposes. The digital assistants like Apple's Siri and Amazon Alexa are great examples of how AI can make digital interactions intelligent and user-centric.

Machine intelligence doesn't automatically lead to smarter user experience if product designers and machine learning experts don't talk the same language. The language and concepts of machine learning are far from intuitive. And user experience design requires an understanding of how people think and behave, simultaneously taking into account the irrationality of human behavior and the messiness of everyday life. Because of the different skills these two disciplines require, it's normal to see user experience designers and machine learning experts work in their own separate silos even though they're building the same product. Often, experts from both fields are not familiar with each other's methods and tools and so are unable to grasp what can be achieved by combining experience design with machine learning.

At Google Cloud my job is to reimagine enterprise -- the tools we build and how we design them. Traditional enterprise products don't reflect how people work -- our pain points, our tasks across the workday, our desire to stay a step ahead. Before coming to Google, I spent much of my career wrestling with traditional software systems. They were meant to help me work more efficiently but instead, slowed me down. This experience inspired me to build products that elevate people at work, freeing their time for what humans do best -- tapping into the social intelligence that builds relationships and solves problems.

In 2016, two VCU Brandcenter students, Xia Du and Yanci Wu, won a Cannes Future Lion award for their concept Amazon Emma, an artificial intelligence application for Amazon Echo to combat dementia in seniors. Using natural language processing and machine learning algorithms, Amazon Emma could have personalized conversations with seniors to stimulate their minds and reduce feelings of social isolation. The project won at Cannes because it used new technology to address users' needs -- something agencies and brands constantly strive to do. As agencies and brands continue looking toward AI to reach consumers in increasingly customized ways, there is a greater need for marketers who can create experiences like Amazon Emma. In response, ad schools across the U.S. are introducing new degree programs, boot camps and classes on how to prepare students to use AI, and some brands have started advising schools on their approach. Ad schools that have long had interactive design curricula, like General Assembly and VCU's Brandcenter business program are adding new courses or revamping old ones to include AI into the overall user experience.

As artificial intelligence gains popularity, designers will need to adapt. Here's how to get started. It seems like everyone wants to invest in artificial intelligence (AI). And it's not just the tech giants: USAA is using AI to protect its users from identity theft and Under Armour has connected its health app, MyFitnessPal, to IBM Watson so users can get a more thorough read of their health. AI is already a 15 billion dollar industry, according to the MIT Technology Review, with more than 2,600 companies developing their own tech, and the value of AI is reported to rise to over 70 billion by 2020. Because of AI's business opportunities, hundreds of designers in digital agencies, people who were taught to create products and services that live on the Internet, are starting to build physical products that interact with us, respond to our moods, and make decisions for us.

As artificial intelligence gains popularity, designers will need to adapt. Here's how to get started. It seems like everyone wants to invest in artificial intelligence (AI). And it's not just the tech giants: USAA is using AI to protect its users from identity theft and Under Armour has connected its health app, MyFitnessPal, to IBM Watson so users can get a more thorough read of their health. AI is already a 15 billion dollar industry, according to the MIT Technology Review, with more than 2,600 companies developing their own tech, and the value of AI isreported to rise to over 70 billion by 2020.