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Modifying a user interface based upon a user's brain activity and gaze

A user interface and user technology, applied in the input/output of user/computer interaction, the input/output process of data processing, machine learning, etc., can solve the problem of low operating efficiency of computing equipment, time-consuming UI focus, incorrect changes, etc. problem, achieve the effect of reducing the number, reducing power consumption, and prolonging battery life

Inactive Publication Date: 2018-12-21
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Incorrectly changing UI focus in this manner can be frustrating and time-consuming for the user, and result in the computing device operating less efficiently than would otherwise be the case

Method used

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  • Modifying a user interface based upon a user's brain activity and gaze
  • Modifying a user interface based upon a user's brain activity and gaze
  • Modifying a user interface based upon a user's brain activity and gaze

Examples

Experimental program
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Embodiment Construction

[0021] The following detailed description is directed to techniques for generating or modifying a UI of a computing device based on a user's brain activity and gaze. As discussed briefly above, through implementations of the techniques disclosed herein, the state of a UI provided by a computing device may be generated or modified based on the user's current brain activity and gaze, thereby allowing the computing device to operate in a more efficient manner. Technical benefits in addition to those specifically identified herein may also be realized by implementations of the disclosed technology.

[0022] Although the subject matter described herein is presented in the general context of program modules that execute with the execution of an operating system and applications on a computing device, those skilled in the art will recognize that execution can be combined with other types of program modules. other implementations. Generally, program modules include routines, programs...

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PUM

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Abstract

Technologies are described herein for modifying a user interface (UI) provided by a computing device based upon a user's brain activity and gaze. A machine learning classifier is trained using data that identifies the state of a UI provided by a computing device, data identifying brain activity of a user of the computing device, and data identifying the location of the user's gaze. Once trained, the classifier can select a state for the UI provided by the computing device based upon brain activity and gaze of the user. The UI can then be configured based on the selected state. An API can alsoexpose an interface through which an operating system and programs can obtain data identifying the UI state selected by the machine learning classifier. Through the use of this data, a UI can be configured for suitability with a user's current mental state and gaze.

Description

Background technique [0001] Eye tracking systems (also referred to herein as "gaze tracking systems") exist that can measure a computer user's eye activity to determine where the user's eyes are focused (also referred to herein as the user's "gaze" s position). For example, some eye-tracking systems can determine where a user's eyes are focused on a display device. This information can then be used for various purposes, such as selecting the UI window that should receive user interface ("UI") focus (ie, receive user input) based on the location of the user's gaze. [0002] However, eye-tracking systems such as those described above may incorrectly change UI focus in certain situations. For example, a user may be primarily working in, and thus primarily viewing, a first UI window that has UI focus. Occasionally, however, the user may momentarily gaze at the second UI window to obtain information for use in the first UI window. In this case, an eye-tracking system such as th...

Claims

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Application Information

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IPC IPC(8): G06F3/01G06F3/038G06F3/0484G06N99/00G06F3/0481G06N20/00
CPCG06F3/015G06F3/038G06F2203/0381G06F2203/04806G06F3/04842G06F3/013G06N20/00G06F3/0481
Inventor J·C·戈唐
Owner MICROSOFT TECH LICENSING LLC