登录查看更多内容

What are some effective voice recognition techniques for mobile app design?

由人工智能和领英社区提供技术支持

Voice recognition is a powerful feature that can enhance the user experience of mobile apps, especially for accessibility, convenience, and productivity. However, designing a voice interface that is intuitive, reliable, and engaging requires some careful considerations and techniques. In this article, we will explore some of the best practices and examples of voice recognition for mobile app design.

本文章的要点总结

Natural language understanding:

Incorporate Natural Language Understanding to make your app's voice recognition feel more like a natural conversation. Users will appreciate interactions that seem less robotic and more human-like.
Use case alignment:

Focus on integrating voice commands where they add the most value, like hands-free tasks where attention is divided. This approach helps keep your app intuitive and user-friendly.

本摘要由 AI 和以下专家提供支持

Zohrab Taghiyev

? Certified iOS Developer | Content…
Ben Pu

1 Understand the use cases

The first step in designing a voice interface is to identify the scenarios and tasks that would benefit from voice input or output. Not every function or feature needs to be voice-enabled, and some may even be better suited for touch or gesture. Think about the user's context, goals, preferences, and challenges, and how voice recognition can solve their problems or enhance their experience. For example, voice recognition can be useful for hands-free or eyes-free situations, such as driving, cooking, or exercising, or for complex or repetitive tasks, such as searching, booking, or ordering.

添加您的观点

Ben Pu
举报内容
At ShipSage, we recognized the power of voice recognition in enhancing user experience, especially in the dynamic world of warehousing and logistics. Understanding that not every task in our platform would benefit from voice commands, we methodically identified scenarios where voice input added true value. Given the on-the-move nature of logistics professionals, we introduced voice features primarily for situations requiring hands-free interactions, such as inventory checks or location queries. By aligning voice recognition capabilities with real-world use cases, like coordinating shipments when hands are full or quickly retrieving order details, we've been able to ensure that our platform remains both intuitive and efficient for our users.

已翻译

赞
Deepesh Rastogi

Certified Enterprise/Solution Architect | CTO | ISB | IIM Calcutta
举报内容
Voice recognition technology is particularly valuable for individuals with disabilities, the elderly, and patients who may face challenges using touch-based interfaces. However, it's crucial to consider the context in which this technology is deployed, especially regarding security concerns. Furthermore, voice recognition can extend its benefits to remote locations that are difficult for humans to access but where machines can operate. By complementing digital instructions with voice commands, this technology can provide a more dynamic response tailored to the specific situation. This versatility can be particularly advantageous in various scenarios.

已翻译

赞

2 Follow the design principles

The second step is to follow some general design principles that can ensure a smooth and natural voice interaction. To be clear and concise, use simple and direct language, avoiding jargon and ambiguity, and provide feedback and confirmation. Maintain consistency and predictability by using familiar and common phrases, having a coherent and logical flow, and avoiding unexpected or confusing responses. Respect the user's privacy and preferences by using a friendly and polite tone, respecting their privacy, and providing guidance and assistance when needed. Additionally, be adaptive and responsive by using context and personalization, handling errors and interruptions gracefully, and supporting multimodal input and output.

添加您的观点

Deepesh Rastogi

Certified Enterprise/Solution Architect | CTO | ISB | IIM Calcutta
举报内容
Creating a distinct language solely for voice recognition in mobile apps isn't a feasible solution. We're aware that languages encompass numerous dialects and diverse speaking styles, and this complexity extends to multiple languages beyond just one. Therefore, it's imperative to adopt an AI-powered intelligent system capable of efficiently processing, comprehending, and executing commands accurately.

已翻译

赞

3 Choose the right technology

The third step is to choose the right technology and tools that can support your voice interface design. There are different types of voice recognition technologies, such as speech-to-text, text-to-speech, natural language processing, and speech synthesis. Depending on your app's functionality and requirements, you may need to use one or more of these technologies, or integrate with third-party platforms or services. You should also consider the quality, accuracy, speed, and security of the technology, and how it affects the user's perception and trust.

添加您的观点

4 Test and iterate

The fourth step is to test and iterate your voice interface design with real users and data. Testing is essential to evaluate the usability, effectiveness, and satisfaction of your voice interface, and to identify and fix any issues or gaps. You can use various methods and tools to test your voice interface, such as prototyping, usability testing, user feedback, analytics, and A/B testing. You should also monitor and update your voice interface regularly, as user needs, expectations, and behaviors may change over time.

添加您的观点

5 Learn from the examples

The fifth step is to learn from the examples of successful voice interfaces in mobile apps. There are many apps that use voice recognition in different ways and domains, such as navigation, entertainment, education, health, finance, and more. For instance, Google Maps allows users to search for locations, get directions, and control navigation with voice commands and feedback. Spotify enables users to play music, podcasts, and playlists with voice search and control. Duolingo helps users learn languages with voice recognition and feedback. Headspace guides users through meditation and mindfulness sessions with voice output and input. Venmo lets users send and request money with voice commands and verification. These examples demonstrate how voice interfaces can be used to make apps more interactive and user-friendly.

添加您的观点

6 Experiment and innovate

The final step is to experiment and innovate with voice recognition for mobile app design. Voice recognition is a rapidly evolving and expanding field, and there are many opportunities and possibilities to create new and exciting voice experiences for mobile users. You can explore new domains, features, scenarios, and modes of voice interaction, and also combine voice recognition with other technologies, such as artificial intelligence, augmented reality, and biometrics. You can also seek inspiration and feedback from other designers, developers, and users, and keep up with the latest trends and developments in voice recognition.

添加您的观点

7 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?

添加您的观点

Zohrab Taghiyev

? Certified iOS Developer | Content Creator
举报内容
Natural Language Understanding (NLU) Implement Natural Language Understanding techniques to enhance voice recognition. NLU allows your app to comprehend and interpret spoken language in a more context-aware and human-like manner. It goes beyond basic speech-to-text conversion by extracting intent and entities from user utterances. By using NLU, you can design voice interactions that feel intuitive and conversational, providing users with a more seamless and efficient experience.

已翻译

赞

Mobile Applications

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

What are some effective voice recognition techniques for mobile app design?

1

2

3

4

5

6

7

1 Understand the use cases

2 Follow the design principles

3 Choose the right technology

4 Test and iterate

5 Learn from the examples

6 Experiment and innovate

7 Here’s what else to consider

Mobile Applications

给文章评分

感谢您的反馈

更多Mobile Applications相关文章

更多相关阅读内容

What are some effective voice recognition techniques for mobile app design?

1

2

3

4

5

6

7

1 Understand the use cases

2 Follow the design principles

3 Choose the right technology

4 Test and iterate

5 Learn from the examples

6 Experiment and innovate

7 Here’s what else to consider

Mobile Applications

给文章评分

感谢您的反馈

查看其他技能