How do I support accessibility rotor and custom actions on tvOS using Swift?

To support accessibility rotor and custom actions on tvOS using Swift, you can utilize the built-in accessibility features provided by the UIKit framework. Here’s how you can implement a custom rotor and define your custom actions.

accessibility, tvOS, custom actions, rotor, Swift, UIKit, accessibility features
Learn how to implement accessibility rotor and custom actions in your tvOS applications using Swift to enhance user experience for those requiring accessibility support.
// Custom UIView subclass for an accessible component import UIKit class AccessibleView: UIView { // Override accessibility attributes override var accessibilityElements: [Any]? { get { return [myCustomButton, myCustomLabel] } set {} } // Custom actions to be added override var accessibilityCustomActions: [UIAccessibilityCustomAction]? { let customAction1 = UIAccessibilityCustomAction(name: "Perform Action 1", target: self, selector: #selector(performAction1)) let customAction2 = UIAccessibilityCustomAction(name: "Perform Action 2", target: self, selector: #selector(performAction2)) return [customAction1, customAction2] } // Action methods @objc func performAction1() -> Bool { // Logic for action 1 return true } @objc func performAction2() -> Bool { // Logic for action 2 return true } // Method to support custom rotor func setupAccessibilityRotor() { let rotor = UIAccessibilityCustomRotor(name: "Custom Rotor") { // Provide items for the rotor let items = ["Item 1", "Item 2", "Item 3"] return UIAccessibilityCustomRotorItemResult(index: 0, targetElement: self) } self.accessibilityCustomRotors = [rotor] } }

accessibility tvOS custom actions rotor Swift UIKit accessibility features

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?