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The presence of AI in UX design has been increasing and several innovative tools have emerged with the focus to help designers through their process. Lets start listing down some of the Top AI Tools for Designers to Explore in 2024. Many recognized design oriented companies like Adobe, Figma, Dovetail and User Testing are experimenting AI potential in their offerings. It is time that designers should start testing these features to get the best to help them improve their productivity and efficiency. Please note: These tools are not listed as per rankings and designers take up the opportunities to test all the tools to make them relevant to their context of work. List of AI Tools being reviewed: Adobe Sensei UX Pilot FigJam AI Dovetail AI User Testing AI Insights MidJourney Dice Khroma Fontjoy Ulzard Validator AI AutoDraw Topaz Labs Let's Enhance Vance AI Remove BG Hotpot AI Designs AI DALL-E2 Adobe Sensei Adobe Sensei is a huge offering with cuts through creativity, marketing, advertising, documents and many more. Adobe Sensei on the creativity side is an AI-powered platform that integrates with Adobe design tools. It offers the designers variety of tools to work based on their goals. Adobe Firefly is one of the potential superstar tool which is still in beta stage now. It offers features like auto-tagging images, content-aware fill, and automatic image adjustments. These capabilities streamline the design process and enhance productivity. Source: www.adobe.com/sensei.html UX Pilot This is a very potential tool that claims to have capabilities to support a designer from discovery to visual design process. It's especially powerful when analyzing insights and synthesizing them into actionable items. It seem to have the potential to support designing workshops which could be difficult and nerve wrecking for first-time facilitators. It helps setup research questions and extract the insights from the interview findings. Design, conduct workshops and analyse, ideate in short period of time. It also provides a capability to analyse requirements in word form and recommend color and style guides accordingly. The amazing thing is that the features could be utilised by installing simple figma plugins. Source: www.uxpilot.ai Plugin Source: www.figma.com/community/plugin/1224384489638070064 Interested? You can have a look at this good article by Adam Fard. Article: www.adamfard.com/blog/ai-ux-design FigJam AI FigJam AI is an innovative feature within FigJam. It helps teams and individuals organize, summarize, and generate content within their thinking process. FigJam AI helps you instantly visualize ideas, suggest best practices, and automate tedious tasks. Currently, in its open beta phase, it is accessible to users on any team or plan. Some of the features are generating boards and diagrams through template, sorting and summarizing sticky notes, Jambot, a useful ChatGPT-powered FigJam widget that the company rolled out recently adds benefit to the process like rewriting and summarizing the selected content to share in email. Source: www.figma.com/figjam/ai/ Dovetail AI Dovetail uses NaturalLanguage Understanding (NLU) to identify tone, sentiment, and even emojis in a chat. It automates the tedious tasks with powerful machine learning features built for uncovering insights faster. It make sense of large amounts of data with speed by automatically clustering your highlights by theme in canvas. It also auto-summarize key takeaways from interviews, feedback, and customer data on the fly. It has this capability to automatically identify positive and negative sentiment in your transcripts and notes. Source: www.dovetail.com/ai UserTesting AI Insights UserTestings tool powered by intelligence offers designers insights derived from user research and testing. By examining user feedback the AI can identify recurring themes, sentiments, and emerging trends enabling designers to make informed decisions. Some of the important features that have been highlighted are AI Insight summary, Friction detection, Sentiment analysis, Interactive Path Flows, Sentiment and Intent Path, Instant Insight, Keyword mapping, Click maps and Audience QA and performance management. Source: www.usertesting.com/platform/AI Midjourney Midjourney seems like a great tool to gather quick and unique visual inspiration based on prompts. It is one of the quickest ways to create high-quality design concepts in different domains. It is great for producing a dynamic range of images that might meet your needs. It also provides you opportunity to refine images until you're completely satisfied with the results. The designer need to refine their prompting skills to get the best output and there could be inconsistency in the output if not done precisely. Source: www.midjourney.com Dice This tools is in Alpha/Beta stage. Dice claim to be a groundbreaking AI-powered tool designed to revolutionize the inspiration & ideation process. A tool that could unblock you and give you a fresh perspective on a problem you’ve been mulling over for hours. Dice provides information enough to generate innovative and context driven UX/UI ideas based on your project’s unique needs, goals & constraints. It attempts to provide clear and actionable direction for design implementation. Assist in ideation and brainstorming process and save hours of staring at a blank canvas due to creative block. It leverages finely tuned Large Language Models (LLMs) like GPT to analyze and understand your project’s context, objectives and requirements, translating these inputs into a curated set of design concepts, insights, and inspiration in real-time. Source: www.dice.design Khroma This tool help designers to creates limitless color palettes. Khroma uses AI to learn which colors you like and creates limitless palettes for you to discover, search, and save. It creates an array of color palettes for you to discover, select, and keep. By drawing insights from a multitude of color combinations crafted by individuals online, Khroma presents an array of options suitable for a variety of applications. It ranges from fonts and seamless transitions to harmonious color schemes and even unique visuals. Source: www.khroma.co Fontjoy This piece of tool help generate font combinations with deep learning. Font pairing is a classic problem in the design world. Different fonts can be used to draw attention, lead the eye, or even form the foundations of a brand identity. Source: www.fontjoy.com Ulzard This tool is one of the world's first AI tool for UI design. It transform screenshots to designs, convert hand-drawn sketches to wireframes, generate UI designs with simple text. Uizard offers a drag-and-drop interface to create custom designs quickly and easily. The AI design software uses machine learning algorithms to create stunning digital assets like website designs, web apps, mock-ups, mobile apps, and more in a no-code framework with a simple text prompt. Some of the noted features that Ulzard provides are as follows: Uizard Autodesigner, which generate multi-screen mockups with simple text. Uizard Screenshot, allows you to upload screenshots and transform them into editable mockups with the power of AI. Uizard Wireframe, scan your hand-drawn wireframes and transforms your wireframe sketches into digital designs. It also offers the ability to generate attention heatmaps to predict the areas of a project where users focus their attention the most. Source: www.uizard.io/ai-design Validator AI A free AI Validator tool that allows users to enter their startup idea and receive objective feedback and criticism from AI. The tool provides detailed feedback on market opportunities, legal issues, potential clients and more. Users can also access articles, fast startup tips and contact the developer for 1 per 1 help. Source: www.validatorai.com AutoDraw AutoDraw is a experimental drawing tool from Google Creative Lab that suggests icons/designs based on your doodles. The platform uses machine learning algorithms to analyze your doodles and suggest icons that match your drawing. On AutoDraw, users can edit and resize the icons to fit their designs. The platform is ideal for designers who need to create design icons quickly. Source: www.experiments.withgoogle.com/autodraw Topaz Labs Topaz Labs is a AI editing tool names Topaz Image AI that enhances image and preserve as many image details as possible and sharpen detail for a clear and crisp photo. It eliminate noise and recover crisp detail in your images with this noise reduction tool. The Topaz Labs also has another offering called Topaz Video AI remarkable video upscaling, de-interlacing, and frame interpolation optimized for local production workflows. Source: www.topazlabs.com Let's Enhance Let's Enhance is an AI design tool to improve the quality of images. It offers a range of features, including upscaling and color correction. It is an excellent tool for graphic designers looking to enhance low-quality images or improve the resolution of images without compromising on quality. Its key features include its intuitive user interface, advanced AI algorithms for image enhancement, and batch processing for editing multiple images simultaneously. It also has a text-to-image generator which can be used to generate stunning visual art quickly. Source: www.letsenhance.io Vance AI Vance AI is a suite of AI-based tools for image editing and manipulation, including image enhancement, AI upscale of image, background removal, text recognition and image recolorizer. Source: www.vanceai.com Remove BG Remove BG is an AI-powered tool that helps remove backgrounds from images. It uses advanced algorithms to detect the subject in an image and remove the background automatically. It provides options to download image with transparent background, allows background replacement and supports various image formats. Source: www.remove.bg Hotpot AI Hotpot AI helps you create amazing graphics, pictures, and writing. AI tools like AI Art Generator spark creativity and automate drudgery while easy-to-edit templates empower anyone to create device mockups, social media posts, marketing images, app icons, and other work graphics. Hotpot offers AI Helpers and simple software for amazing graphics, images, and writing. Their services include AI copywriting, background removal, object removal, picture colorization, photo restoration, image upscaling, art personalization, app localization, and more.Their focus is to spark creativity and automate drudgery, helping you focus on impactful work and conquer mental blocks. Source: www.hotpot.ai Designs AI Designs AI is an AI platform that offers a suite of tools for creating graphic designs, videos, banners, mock-ups, and more. It uses advanced algorithms to analyze user preferences and generate personalized design recommendations as well as provide suggestions for improvement. The platform offers a variety of design templates to choose from. Users can customize colors, fonts, and layouts to create a unique design. It can also be used to create thousands of variations of a design. Its provides features like access to a design library with 170M premium stock images and 10K graphics, shapes, frames, add stickers. It export the final design in multiple dimensions. Easy project collaboration communicate and share projects with team members in real-time. Source: www.designs.ai DALL-E2 DALL-E2 is an AI system offered by OpenAI that can create realistic images and art from a description in natural language. This tool can create original, realistic images and art from a text description. It can combine concepts, attributes, and styles. In January 2021, OpenAI introduced DALL·E. One year later, our newest system, DALL·E 2, generates more realistic and accurate images with 4x greater resolution. It is still a research project that can easily revolutionize images by increasing their creativity through the diffusion model. For example, you can ask DALL-E to create an image of “a cat riding a skateboard” and then ask another user to create an image of “a dog wearing a hat.” DALL-E will then combine the two images into a single image. Source: www.openai.com/dall-e-2 Final Thoughts While reviewing some of the Top AI Tools for Designers to Explore in 2024, these tool has a lot of potential and we need to explore further to take our creativity to the next level and stay ahead of the curve in the fast-paced constantly changing design industry. During observations of various tools and their capabilities, it was clear that there are not many AI tools that focus on end-to-end products or design processes. They are more focused on specific design activities and it will be great to see in the coming days how it shapes up shortly. These AI capabilities are here to stay and will grow exponentially. It makes perfect sense for designers to not fear replacing them, but harness the power of AI to co-create through Human-AI partnership and build a better customer experience for the future. Worth a Look: Canva has listed some really nice AI tools and which are worth a look by clicking on the link below: Source: www.canva.com/your-apps Reference: This article has been inspired by Dhananjay Mukerji, Adam Fard and other referenced articles. Read more at: https://business.adobe.com/blog/basics/amplifying-human-creativity-with-artificial-intelligence https://uxplanet.org/ai-in-user-experience-ux-design-a-fresh-approach-c7c7956daad8 https://adamfard.com/blog/top-20-ai-tools-for-designers#:~:text=Uizard%20is%20an%20AI%2Dpowered%20prototyping%20tool%20that,to%20help%20users%20quickly%20create%20digital%20products. https://murf.ai/resources/ai-graphic-designing-tools/ https://intellipaat.com/blog/ai-tools-for-designers/ https://www.figma.com/blog/introducing-ai-to-figjam/ https://uxplanet.org/figjam-ai-ec4c58ff78bf Get the latest user experience news & articles. Subscribe with us

How do designers fit into the AI revolution and do we have a future? The rise of artificial intelligence (AI) has brought about a growing fear that AI will steal people’s jobs or make them obsolete. But, I don’t believe that’s true. I don’t see AI as the enemy. Instead, AI is a tool that can be used to enhance the user experience (UX) in ways that were previously impossible.“First we shape our tools, thereafter they shape us.” This quote by Marshall McLuhan highlights the cyclical relationship between tools and their creators. In the context of AI and UX design, designers have the unique opportunity to harness the power of AI and shape it to their advantage. By using AI to enhance the user experience, designers can not only create innovative, cutting-edge designs but also influence the direction of the entire industry. “First we shape our tools, thereafter they shape us.” Marshall McLuhan As AI technology continues to advance (because it’s not going away folks), designers must take an active role in shaping it to meet the needs of users. Whether it’s through the use of chatbots, machine learning algorithms, or other AI-powered tools, designers have the ability to create experiences that are intuitive, responsive, personalized, and above all else solve the needs of people. It’s important to remember that as we shape our tools, they will also shape us right back. AI has the potential to greatly improve the user experience, but it also poses challenges and ethical considerations that must be addressed. As designers embrace AI, they must remain vigilant and ensure that their designs promote user privacy, security, autonomy, inclusiveness, and so much more. Working with AI As a Designer, I have been able to witness the transformative power of AI in my own work. AI has proven to be a valuable tool that has helped me overcome creative obstacles, saved me time, and improved the overall quality of my design process. One of the most notable benefits of AI in my work has been its ability to help me overcome writer’s block. AI-powered writing tools have provided me with new ideas, outlines, and inspiration— freeing me from the constraints of my own creativity. Another way AI has helped me in my work is by automating repetitive tasks. By leveraging AI, I have been able to focus on more strategic and creative tasks, rather than spending time on manual, time-consuming processes. This has allowed me to be more productive and efficient, freeing up more time for me to focus on the creative aspects of UX design. It is important to note that AI is only as good as the data it is trained on and that human intuition and creativity remain essential in UX design. Nevertheless, my experience with AI has been overwhelmingly positive. By embracing AI, I have been able to push the boundaries of my creativity and deliver designs that are more innovative and impactful. AI as a Tool AI has often been portrayed as a threat to jobs and human creativity, but this doesn’t have to be the case. AI is not a replacement for human intuition and creativity, but rather a tool that can be used to enhance them. Here are some ways you can use AI as a tool for UX Design: User research and testing: AI can assist UX designers in gathering and analyzing large amounts of user data. It can also help designers conduct user research and testing by automating tasks such as data collection, analysis, and reporting. Design idea generation: AI can be used to generate design ideas for inspiration. For example, AI can be used to create wireframes and prototypes or to generate visual designs based on user data for inspiration. Personalization: AI can be used to personalize the user experience. For example, AI can be used to adapt interfaces to the user’s preferences and habits, such as remembering their preferred font size or color scheme. Usability analysis: AI can be used to analyze user interactions with an interface and identify usability issues. For example, AI can track how users navigate an interface, how they interact with specific elements, and how they respond to different design elements. Predictive analytics: AI can be used to predict how users will interact with an interface, based on past user behavior and other data. This can help designers create more effective and efficient interfaces. Design automation: AI can be used to automate certain tasks, such as layout and typography, freeing up designers to focus on other tasks. User experience monitoring: AI can be used to monitor user experience in real-time and provide insights into user behavior. This can help designers make informed decisions about design changes and improvements. While AI can provide valuable insights and automate certain tasks, it can’t replace human empathy and emotional intelligence. Designers must find a balance between using AI to augment their skills and relying on their own instincts and creativity. It is essential to remember that AI is only as good as the data it’s trained on and that human intuition and creativity are still essential in UX design. As AI becomes more advanced and integrated into our lives, it will likely play an increasingly important role in the job market. Instead of stealing jobs, AI will create new ones. Designers who find a way to use AI effectively will be in high demand, as they will be able to offer innovative, efficient, and user-centered designs. The Impact of AI on UX Design The integration of AI into UX design has already had a profound impact on the industry. It can be through several many benefits and challenges. Here are a few that I’ve observed. Benefits: Improved User Experience: AI can make interfaces more intuitive, personal, and accessible. For example, AI can be used to personalize the user experience by adapting to the user’s preferences and habits. Time and Effort Saving: AI can automate repetitive tasks and help designers save time and effort. This allows designers to focus on more important and creative tasks. Enhanced Interactivity: AI can provide interactive features and dynamic content to enhance the user experience. Challenges: Accessibility Challenges: One of the biggest challenges is ensuring that AI-powered interfaces are accessible to people with disabilities. This requires designers to have a thorough understanding of accessibility requirements and to test interfaces for accessibility. Ethical and Unbiased Algorithms: Another challenge is ensuring that AI algorithms are ethical and unbiased. Designers must be aware of potential biases in the algorithms and take steps to mitigate them. Privacy Implications: Designers must also be aware of the privacy implications of AI-powered interfaces. AI algorithms often collect and process large amounts of personal data, which must be protected to maintain user privacy. Designers must carefully consider these benefits and challenges when using AI in their design work to ensure that the user experience is both effective and ethical. It’s also important to keep in mind that the field of AI and UX design is constantly evolving, so designers must stay up-to-date with the latest developments and trends. The Future of UX Design and AI The future of AI in UX design is promising, but also uncertain. Some potential applications of AI in UX design in the future include: Predictive Design: AI algorithms will be able to analyze large amounts of user data and predict how users will interact with a design, allowing designers to create more intuitive and user-friendly interfaces. Personalization at Scale: AI will enable designers to personalize interfaces on a large scale, providing users with unique and tailored experiences based on their preferences and habits. Design Automation: AI will automate more and more aspects of the design process, freeing up designers to focus on the parts that only humans can do while also reducing the time and effort required to create designs. Improved Accessibility: As AI technology advances, it will become easier for designers to create accessible interfaces for users with disabilities, making digital experiences more inclusive for everyone. Ethical Algorithms: Designers will need to ensure that AI algorithms are ethical and unbiased, avoiding discrimination and ensuring that everyone has equal access to digital experiences. Enhanced Collaboration: AI will facilitate collaboration between designers and other stakeholders, providing insights and suggestions to help teams make better decisions and create better designs. Augmented Reality: AI will play a key role in developing and enhancing augmented reality interfaces, allowing users to interact with digital content in new and innovative ways. While the future of AI in UX design is uncertain, it is clear that AI will play an increasingly important role in shaping the future of digital experiences. Designers who embrace AI and continuously adapt to its evolution will be best positioned to take advantage of its benefits and create innovative, intuitive, and accessible designs. Final Thoughts AI is not the enemy of UX design, but rather a new tool in our tool-belt that can be used to help us enhance the experience of people. As AI becomes more integrated into our lives, designers must find a way to use it effectively while also ensuring that AI-powered interfaces are accessible, ethical, and private. The future of UX design and AI is promising, but it will require designers to be proactive, adaptable, and continuously learning. By shaping AI and using it to enhance the user experience, designers have the power to shape the future of the industry and the entire world. Reference: This article has been written by Nate Schloesser and published in UX Magzine. Read more at: https://uxmag.com/articles/navigating-the-future-of-design-in-the-age-of-ai Get the latest user experience news & articles. Subscribe with us

Hitachi Automotive Systems Develops Stereo Camera Enabling Automatic Emergency Braking at Intersections. As automobiles continue to expand globally, there is a growing need for technologies that enhance driving safety, particularly at intersections. As of 2020, the NCAP (New Car Assessment Program) will include Automatic Emergency Braking (AEB) among the criteria in their leading automotive safety performance assessment. Sensor technologies with horizontal, wide angle view are necessary to detect pedestrians to avoid accidents when an automobile turns at an intersection. To achieve this, it is essential to continuously detect vehicles ahead, and also required are a CMOS (Complementary Metal Oxide Semiconductor) with consistently high pixilation, the camera sensor, or a combination of multiple sensors, including a radar which detects objects in the surrounding area or in the distance. With this newly developed stereo camera, Hitachi Automotive Systems has increased the range of detection by widening the horizontal range of the stereo camera relative to conventional stereo cameras, and has adopted a method to shift images detected by the left and right cameras. This delivers an angle of view three times wider compared to conventional stereo cameras, and enables Automatic Emergency Braking when turning at intersections while still maintaining the ACC (Adaptive Cruise Control) which employs compatible distant object detection without the need for a large increase in the number of sensor pixels compared to conventional stereo cameras. The technology to change detection methods in the center and periphery parts of the detection range was developed in collaboration with the Hitachi Ltd. R&D Group. Highly accurate detection and range estimation of pedestrians and cyclists improves safety at intersections while relying only upon the stereo camera, a minimal amount of components. This is achieved by seamlessly integrating a number of features including centralized binocular detection through binocular vision, three-dimensional object detection through time series image processing provided by monocular vision in the periphery, and storage of identification patterns using machine learning methods. In addition to developing technologies to enhance the stereo camera performance, Hitachi Group will continue to offer devices and solutions that contribute to the practical implementation of autonomous driving vehicles and the connected car. Reference: This article has been published in Hitachi website. Read more at: https://www.hitachi.com/New/cnews/month/2019/12/191225.html Get the latest user experience news & articles. Subscribe with us

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