Skip to content
Think and Reflect · Q4

Q.How can some of the emerging trends discussed in this chapter be used as assistive tools for people with disabilities?

Puducherry CbseNCERTSubjective· 3mImportance★★★★★est
96% · 24/25 Questions
🔒 Locked · start free trial →

You're viewing a preview — the full solution, concept, methods & PYQ mapping are locked.

Start your 14-day free trial to unlock the full solution →

Emerging trends like Natural Language Processing (NLP), Computer Vision, and Speech Recognition can be used to build assistive tools that help people with disabilities interact with technology and the world more independently.

This is a plain theory question — it asks you to connect the concepts of emerging technologies (from a typical Class 12 Informatics Practices / Computer Science chapter on "Emerging Trends") to real-world assistive applications. The key is to explain how each trend works as a tool, not just list names.


Natural Language Processing (NLP) for Communication Disabilities

NLP enables computers to understand, interpret, and generate human language. For people with speech or language impairments, NLP powers text-to-speech and speech-to-text systems. A person who cannot speak can type words and have them spoken aloud by a device. Conversely, someone who cannot type can dictate text, which the system converts into written form. NLP also enables predictive text and auto-completion, which help people with motor disabilities type faster with fewer keystrokes.

Speech Recognition for Mobility and Dexterity Impairments

Speech recognition is a subset of NLP that converts spoken words into commands or text. For individuals who cannot use a keyboard or mouse due to paralysis, arthritis, or other motor conditions, speech recognition allows them to control computers, smartphones, and smart home devices entirely by voice. They can open applications, browse the web, send messages, and adjust room lighting — all hands-free.

Computer Vision for Visual Impairments

Computer vision allows machines to interpret visual information from the world. For people who are blind or have low vision, this technology can:

  • Read text aloud from signs, books, or screens using optical character recognition (OCR) combined with text-to-speech.
  • Describe scenes — a smartphone camera can identify objects, people, and surroundings and narrate them.
  • Recognise faces and emotions, helping with social interaction.
  • Detect obstacles and guide navigation through audio cues.

Intelligent Virtual Assistants for Multiple Disabilities

Virtual assistants like Siri, Alexa, or Google Assistant combine NLP, speech recognition, and sometimes computer vision. They act as a unified interface for people with various disabilities. A person with limited mobility can ask the assistant to make a phone call, set a reminder, or control home appliances. A person with a learning disability can ask for definitions, calculations, or step-by-step instructions.

Gesture Recognition for Hearing Impairments …

Unlock everything free for 14 days

  • Full step-by-step solutions
  • Concept-first explanations
  • Methods, shortcuts & mistakes
  • PYQ mapping + timed mock tests

Full access for 14 days. No credit card required.