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How can machine perception improve mobile interface prototypes?

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Machine perception is the ability of a computer system to process and interpret sensory data, such as images, sounds, gestures, or speech. It can be used to enhance the design and evaluation of mobile interfaces, by enabling more realistic, interactive, and adaptive prototypes. In this article, we will explore some of the benefits and challenges of applying machine perception to mobile interface prototyping, and provide some examples and tips for getting started.

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1 Benefits of machine perception

Machine perception can improve mobile interface prototypes in several ways. First, it can provide more natural and intuitive ways for users to interact with the prototype, such as using voice commands, facial expressions, or hand gestures. This can increase the engagement and satisfaction of the users, and also test the usability and accessibility of the interface. Second, it can enable more dynamic and responsive prototypes, that can adapt to the context and preferences of the users, such as changing the layout, content, or functionality based on the location, time, or mood of the users. This can increase the relevance and personalization of the interface, and also test the performance and scalability of the prototype. Third, it can enable more accurate and objective evaluation of the prototypes, by collecting and analyzing data from the users' behavior, feedback, and emotions. This can increase the validity and reliability of the testing results, and also provide insights and suggestions for improving the interface.

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Thomas Hallgren

UXD AI Mobile Native & Responsive Product Design Consultant | ex-Block.one | Dozens of Native-Mobile and Web-Responsive Apps | Community | Exchange | Health
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I have a child with special needs and believe that the way machines perceive people with special needs may vary from the norm. As product designers, we can advocate for new accessibility standards for products with machine input. This can help capture and enable AI to understand the user's personality better, allowing for a more accurate assessment of their needs and intent. UX and product design are undergoing the most significant transformation in decades, with new challenges in usability and accessibility emerging for brands. As product designers, we must reboot our approaches to address these challenges.

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2 Challenges of machine perception

Machine perception can also pose some challenges for mobile interface prototyping. First, it can require more technical skills and resources to implement and integrate, such as using specialized tools, frameworks, or libraries, or connecting to external services or devices. This can increase the complexity and cost of the prototyping process, and also introduce potential errors or limitations. Second, it can raise some ethical and legal issues, such as respecting the privacy and consent of the users, or complying with the regulations and standards of the domain or market. This can increase the risk and responsibility of the prototyping process, and also require careful planning and documentation. Third, it can create some unrealistic or biased expectations, such as assuming that the prototype will work flawlessly in any situation, or that the users will behave or respond in a certain way. This can decrease the validity and reliability of the testing results, and also require critical evaluation and interpretation.

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Thomas Hallgren

UXD AI Mobile Native & Responsive Product Design Consultant | ex-Block.one | Dozens of Native-Mobile and Web-Responsive Apps | Community | Exchange | Health
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A good legal disclaimer can help to mitigate risk. It should be clear to users that they are interacting with a machine that captures and uses everything around it to help better interpret how to interact with you.

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3 Examples of machine perception

Machine perception can be applied to mobile interface prototyping in a variety of ways. For instance, Google Voice Access enables users to control Android devices with voice commands, while Microsoft Seeing AI uses computer vision to describe the world to visually impaired people. Adobe XD is a tool for creating and testing interactive prototypes for web and mobile apps. These examples demonstrate how machine perception can be used to prototype various types of interfaces, or to test the accessibility, usability, functionality, and aesthetics of existing interfaces.

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Thomas Hallgren

UXD AI Mobile Native & Responsive Product Design Consultant | ex-Block.one | Dozens of Native-Mobile and Web-Responsive Apps | Community | Exchange | Health
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There needs to be a distinction between inferred input and explicit inputs. For instance, computer vision may interpret a user's thumbs-up gesture, resulting in an automated thumbs-up emoji being displayed during a video conference. This is acceptable, but consider scenarios where a thumbs-up or a voiced 'OK' is used to approve the purchase of a cup of coffee. When does this approval cross a threshold, necessitating a contractual display with a signature panel and an 'OK' button, especially in more significant transactions like the purchase of a new car?

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4 Tips for machine perception

Using machine perception for mobile interface prototyping can be a powerful and innovative way to create better experiences for users. To get started, it is important to have a clear goal and user-centered approach. Define what you want to achieve with the prototype and research the needs, preferences, and expectations of your target users. Then, choose the right tools and methods for your prototype. Depending on the type and level of machine perception you want to use, you may need different tools and methods, such as code-based or code-free tools, online or offline services, or native or hybrid apps. Test and iterate your prototype frequently and early with real users and real data. Collect and analyze the feedback and data from the users, and use them to improve your prototype. Machine perception requires technical skills, ethical awareness, and critical thinking. However, by following these tips you can successfully use machine perception for your mobile interface prototyping.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Thomas Hallgren

UXD AI Mobile Native & Responsive Product Design Consultant | ex-Block.one | Dozens of Native-Mobile and Web-Responsive Apps | Community | Exchange | Health
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Perhaps it's time to revolutionize product design. Traditional usability flows are becoming obsolete with the integration of AI and machine input. While AI and ML may not be flawless for some time, they are likely to disrupt many existing services. UX and product design should consistently champion the user's experience, regardless of the interface in play.

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How can machine perception improve mobile interface prototypes?

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1 Benefits of machine perception

2 Challenges of machine perception

3 Examples of machine perception

4 Tips for machine perception

5 Here’s what else to consider

Mobile Design

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How can machine perception improve mobile interface prototypes?

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1 Benefits of machine perception

2 Challenges of machine perception

3 Examples of machine perception

4 Tips for machine perception

5 Here’s what else to consider

Mobile Design

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