Notification Channels in Android O

There is no way a user can turn off a specific type of Notifications unless a way is explicitly provided in the app. The only way around is to turn off all the app Notifications. With Android O, Developers can create different channels for different types of notifications. Users can modify following characteristics from settings:

  • Importance
  • Notification Sound (Tones)
  • Blink Light
  • Vibration
  • Lock Screen
  • Do Not Disturb
Channel Settings

Creating Notification Channel

A Notification Channel can be created by instantiating a NotificationChannel reference. A Notification channel takes channel id, channel name, and importance.

The channel id is different and has to be unique for each channel.

NotificationChannel channel_1 = new NotificationChannel("sports","Sports", NotificationManager.IMPORTANCE_DEFAULT);
channel_1.setLockscreenVisibility(Notification.VISIBILITY_PUBLIC);
NotificationManager manager = (NotificationManager) getSystemService(Context.NOTIFICATION_SERVICE);
manager.createNotificationChannel(channel_1);

Here ‘sports’ is the channel id and ‘Sports’ is the channel name.

Creating Notification

We can add notification to a channel by making a slight change in our old way of creating a notification.

Notification.Builder builder1 = new Notification.Builder(getApplicationContext(), "sports")
        .setContentTitle("Sports")
        .setContentText("India V/s New Zealand match postponed due to rain")
        .setSmallIcon(R.drawable.ic_launcher_background)
        .setChannelId("sports") //Specifying channel id of notification
        .setAutoCancel(true);

Just by setting the channel id in the notification, It will be shown in its corresponding channel.

Notifications from different channels

You can download the sample code for this blog from here.


Posted

in

by

Tags:

Recent Post

  • Generative AI in HR Operations: Overview, Use Cases, Challenges, and Future Trends

    Overview Imagine a workplace where HR tasks aren’t bogged down by endless paperwork or repetitive chores, but instead powered by intelligent systems that think, create, and adapt—welcome to the world of GenAI. Generative AI in HR operations offers a perfect blend of efficiency, personalization, and strategic insight that transforms how organizations interact with their talent. […]

  • Generative AI in Sales: Implementation Approaches, Use Cases, Challenges, Best Practices, and Future Trends

    The world of sales is evolving at lightning speed. Today’s sales teams are not just tasked with meeting ambitious quotas but must also navigate a maze of complex buyer journeys and ever-rising customer expectations. Despite relying on advanced CRM systems and various sales tools, many teams remain bogged down by repetitive administrative tasks, a lack […]

  • Generative AI in Due Diligence: Integration Approaches, Use Cases, Challenges, and Future Outlook

    Generative AI is revolutionizing the due diligence landscape, setting unprecedented benchmarks in data analysis, risk management, and operational efficiency. By combining advanced data processing capabilities with human-like contextual understanding, this cutting-edge technology is reshaping traditional due diligence processes, making them more efficient, accurate, and insightful. This comprehensive guide explores the integration strategies, practical applications, challenges, […]

  • Exploring the Role of AI in Sustainable Development Goals (SDGs)

    Artificial Intelligence (AI) is revolutionizing how we address some of the world’s most pressing challenges. As we strive to meet the United Nations’ Sustainable Development Goals (SDGs) by 2030, AI emerges as a powerful tool to accelerate progress across various domains. AI’s potential to contribute to sustainable development is vast from eradicating poverty to combating […]

  • Future Trends in AI Chatbots: What to Expect in the Next Decade

    Artificial Intelligence (AI) chatbots have become indispensable across industries. The absolute conversational capabilities of AI chatbots are enhancing customer engagement, streamlining operations, and transforming how businesses interact with users. As technology evolves, the future of AI chatbots holds revolutionary advancements that will redefine their capabilities. So, let’s start with exploring the AI chatbot trends: Future […]

  • Linguistics and NLP: Enhancing AI Chatbots for Multilingual Support

    In today’s interconnected world, businesses and individuals often communicate across linguistic boundaries. The growing need for seamless communication has driven significant advancements in artificial intelligence (AI), particularly in natural language processing (NLP) and linguistics. AI chatbots with multilingual support, are revolutionizing global customer engagement and service delivery. This blog explores how linguistics and NLP are […]

Click to Copy