Google Patent Reveals Context-Aware AI Assistants

Google has filed a patent detailing how AI assistants will use real-world contextual signals to provide more relevant and engaging responses. This technology moves beyond keyword-based search, creating more natural, human-like interactions.

Contextual Signals Enhance AI Responses

The patent describes a system leveraging at least five contextual signals:

  • Time, Location, and Environment
  • User-Specific Context (preferences, app usage, history)
  • Dialog Intent and Prior Interactions
  • Input Type (text, touch, speech)
  • System and Device Context (battery life, etc.)

These factors influence the AI's responses, allowing for personalized and contextually relevant information. For example, an assistant could comment on local weather based on a user's location and stated plans.

“…assistant outputs…further engage the user…by asking contextually relevant questions (e.g., “how long have you been surfing?”), that provide contextually relevant information (e.g., “but if you’re going to Example Beach again, be prepared for some light showers”), and/or that otherwise resonate with the user…”

Understanding User Intent and Related Intents

The patent also highlights how the AI can identify related intents. For instance, if a user says they're hungry, the AI might consider their preferred cuisine and the intent of eating at a restaurant. This allows for more helpful suggestions and follow-up questions.

“For example,…the additional assistant query can correspond to… “what types of cuisine has the user indicated he/she prefers?”… “what restaurants nearby are open?”…”

System and Device Limitations

The system also considers device context. If a device has low battery, the LLM-modified responses can be deactivated to conserve power.

Impact on Search and User Experience

This patent signifies a major shift in how users interact with AI assistants. The use of contextual signals allows for more personalized and relevant experiences, impacting search, e-commerce, and local business interactions.

This technology benefits publishers, e-commerce stores, local businesses, and SEO professionals by providing a deeper understanding of user needs and context.

Read the Full Patent

Using Large Language Model(s) In Generating Automated Assistant response(s).