Google llc (20240126501). MITIGATING LATENCY IN SPOKEN INPUT GUIDED SELECTION OF ITEM(S) simplified abstract

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MITIGATING LATENCY IN SPOKEN INPUT GUIDED SELECTION OF ITEM(S)

Organization Name

google llc

Inventor(s)

Adrian Otto of Mountain View CA (US)

William Byrne of Davis CA (US)

Ashwin Ram of Los Altos CA (US)

MITIGATING LATENCY IN SPOKEN INPUT GUIDED SELECTION OF ITEM(S) - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240126501 titled 'MITIGATING LATENCY IN SPOKEN INPUT GUIDED SELECTION OF ITEM(S)

Simplified Explanation

The patent application aims to reduce latency in guiding a user to select a subset of items from a larger set of candidate items using spoken input and visual output.

  • The innovation enables users to provide spoken input to select items and receive responsive visual guidance.
  • The system minimizes or eliminates audible spoken output to guide users in selecting items.

Potential Applications

This technology could be applied in interactive voice-controlled systems, virtual assistants, and e-commerce platforms to enhance user experience and streamline item selection processes.

Problems Solved

This technology addresses the issue of latency in user interactions with computing systems, improving the efficiency and accuracy of item selection tasks.

Benefits

The benefits of this technology include faster decision-making, reduced cognitive load on users, and a more intuitive user interface for selecting items.

Potential Commercial Applications

Potential commercial applications of this technology include voice-controlled shopping apps, interactive kiosks, and virtual reality platforms for product selection.

Possible Prior Art

One possible prior art could be voice-controlled virtual assistants that guide users in selecting items, but with less emphasis on minimizing audible spoken output.

Unanswered Questions

How does the system handle background noise during spoken input?

The patent abstract does not mention how the system deals with background noise that could affect the accuracy of spoken input.

What is the impact of user accents or speech patterns on the system's performance?

The abstract does not address how the system adapts to different user accents or speech patterns that may affect the selection process.


Original Abstract Submitted

mitigating latency in guiding a user, during an interaction between the user and a computing system, in selecting a subset of item(s), from a superset of candidate items, and causing performance of further action(s) based on the selected subset of item(s). in guiding a user in selecting the subset of items, various implementations enable the user to provide only spoken input(s) in selecting the subset of item(s), and provide visual output(s) that are responsive to the spoken input(s) and that guide the user in selecting the item(s). in some of those various implementations, there is not any (or there is only de minimis) audible spoken synthesized spoken output rendered by the computing system in guiding the user in selecting the subset of item(s).