18401231. ALGORITHMIC DETERMINATION OF A STORY READERS DISCONTINUATION OF READING simplified abstract (GOOGLE LLC)

ALGORITHMIC DETERMINATION OF A STORY READERS DISCONTINUATION OF READING

Organization Name

GOOGLE LLC

Inventor(s)

Chaitanya Gharpure of Santa Clara CA (US)

Evan Fisher of San Francisco CA (US)

Eric Liu of Redwood City CA (US)

Peng Yang of San Jose CA (US)

Emily Hou of Mountain View CA (US)

Victoria Fang of Mountain View CA (US)

ALGORITHMIC DETERMINATION OF A STORY READERS DISCONTINUATION OF READING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18401231 titled 'ALGORITHMIC DETERMINATION OF A STORY READERS DISCONTINUATION OF READING

Simplified Explanation

The disclosure provides technology for enhancing the ability of a computing device to detect when a user has discontinued reading a text source. An example method includes receiving audio data comprising a spoken word associated with a text source, comparing the audio data with data of the text source, determining, based on the comparing, whether a segment of the audio data corresponds to a location of the text source, and responsive to determining that the segment of the audio data does not correspond to a location of the text source, transmitting a signal indicating that a user has discontinued reading the text source, the signal causing to cease the comparing of the audio data with the data of the text source.

• Technology for detecting when a user has stopped reading a text source by analyzing spoken words associated with the text.
• Method involves comparing audio data with text data to determine if the user is still reading.
• If the audio data does not correspond to the text, a signal is sent to indicate the user has stopped reading.

Potential Applications

This technology could be applied in:

• E-books to track reader engagement.
• Educational platforms to monitor student progress.
• Accessibility tools for individuals with reading difficulties.

Problems Solved

• Helps track user engagement with text sources.
• Provides real-time feedback on user reading habits.
• Improves user experience by adapting content based on reading behavior.

Benefits

• Enhances user experience by providing personalized feedback.
• Optimizes content delivery based on user engagement.
• Can improve learning outcomes by tracking reading patterns.

Potential Commercial Applications

• Publishing industry for digital content optimization.
• Educational technology companies for student progress tracking.
• Speech recognition software for improved accuracy.

Possible Prior Art

One possible prior art could be eye-tracking technology used to determine user engagement with text sources. This technology, however, focuses on analyzing spoken words to detect reading discontinuation, providing a different approach to tracking user behavior.

How does this technology handle different accents and speech patterns?

The article does not address how the system accounts for variations in speech that may affect the accuracy of detecting reading discontinuation.

What measures are in place to ensure user privacy and data security?

The article does not mention any specific protocols or safeguards to protect user data and privacy while implementing this technology.

Original Abstract Submitted

The disclosure provides technology for enhancing the ability of a computing device to detect when a user has discontinued reading a text source. An example method includes receiving audio data comprising a spoken word associated with a text source, comparing the audio data with data of the text source, determining, based on the comparing, whether a segment of the audio data corresponds to a location of the text source, and responsive to determining that the segment of the audio data does not correspond to a location of the text source, transmitting a signal indicating that a user has discontinued reading the text source, the signal causing to cease the comparing of the audio data with the data of the text source.