View source for Robert bosch gmbh (20240134505). SYSTEM AND METHOD FOR MULTI MODAL INPUT AND EDITING ON A HUMAN MACHINE INTERFACE simplified abstract

=SYSTEM AND METHOD FOR MULTI MODAL INPUT AND EDITING ON A HUMAN MACHINE INTERFACE=


==Organization Name==

[[:Category:robert bosch gmbh|robert bosch gmbh]]


[[Category:robert bosch gmbh]]

==Inventor(s)==

[[:Category:Zhengyu Zhou of Fremont CA (US)|Zhengyu Zhou of Fremont CA (US)]][[Category:Zhengyu Zhou of Fremont CA (US)]]

[[:Category:Jiajing Guo of Mountain View CA (US)|Jiajing Guo of Mountain View CA (US)]][[Category:Jiajing Guo of Mountain View CA (US)]]

[[:Category:Nan Tian of Foster City CA (US)|Nan Tian of Foster City CA (US)]][[Category:Nan Tian of Foster City CA (US)]]

[[:Category:Nicholas Feffer of Stanford CA (US)|Nicholas Feffer of Stanford CA (US)]][[Category:Nicholas Feffer of Stanford CA (US)]]

[[:Category:William Ma of Lagrangeville NY (US)|William Ma of Lagrangeville NY (US)]][[Category:William Ma of Lagrangeville NY (US)]]

==SYSTEM AND METHOD FOR MULTI MODAL INPUT AND EDITING ON A HUMAN MACHINE INTERFACE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240134505 titled 'SYSTEM AND METHOD FOR MULTI MODAL INPUT AND EDITING ON A HUMAN MACHINE INTERFACE

==Simplified Explanation==

The patent application describes a virtual reality apparatus that includes a display, microphone, eye gaze sensor, and processor to enhance user interaction through voice commands, eye tracking, and text editing capabilities.

* Display outputs information related to the virtual reality interface
* Microphone receives spoken word commands from the user
* Eye gaze sensor tracks user's eye movement
* Processor responds to inputs by outputting text, emphasizing words, toggling through words, highlighting and editing words, and suggesting words based on contextual information

== Potential Applications ==
This technology could be applied in various fields such as:
* Virtual reality gaming
* Virtual meetings and collaboration
* Language learning and translation tools

== Problems Solved ==
The technology addresses issues such as:
* Improving user interaction in virtual reality environments
* Enhancing accessibility for users with disabilities
* Streamlining text editing and input processes

== Benefits ==
The benefits of this technology include:
* Enhanced user experience in virtual reality
* Improved efficiency in text editing and input tasks
* Increased accessibility for a wider range of users

== Potential Commercial Applications ==
This technology could be utilized in commercial settings such as:
* Virtual reality training simulations
* Virtual reality design and modeling software
* Virtual reality communication platforms

== Possible Prior Art ==
One possible prior art for this technology could be existing virtual reality systems with voice recognition and eye tracking capabilities.

=== Unanswered Questions ===

=== How does this technology impact user privacy and data security? ===
This article does not address the potential privacy concerns or data security measures implemented in the virtual reality apparatus.

=== What are the system requirements for running this virtual reality apparatus? ===
The article does not specify the hardware or software requirements needed to operate this virtual reality system.


==Original Abstract Submitted==

a virtual reality apparatus that includes a display configured to output information related to a user interface of the virtual reality device, a microphone configured to receive one or more spoken word commands from a user upon activation of a voice recognition session, an eye gaze sensor configured to track eye movement of the user, and a processor programmed to, in response to a first input, output one or more words of a text field, in response to an eye gaze of the user exceeding a threshold time, emphasize a group of one or more words of the text field, toggle through a plurality of words of only the group utilizing the input interface, in response to a second input, highlight and edit an edited word from the group, and in response to utilizing contextual information associated with the group a language model, outputting one or more suggested words.



[[Category:G06F3/04842]]
[[Category:G06F3/01]]
[[Category:G06F3/0481]]
[[Category:G06F3/16]]
[[Category:G06F40/166]]