Vocollect, Inc.

Hand Held Products, Inc.

Vococollect, Inc.

Jeffrey Pike

Keith Braho

Lori Pike

Brian Bender

Mark David Murawski

Shawn Zabel

Dennis Doubleday

Amro El-Jaroudi

Michael Laughery

Mark Mellott

Justin Volz

Vanessa Cassandra Sanchez

George Joshue Karabin

Generally discussed herein are techniques, software, apparatuses, and systems configured for presenting information to a user through multiple primary user interfaces. In one or more embodiments, a method can include providing first data to a first primary user interface that causes the first primary user interface to provide a first view of an application state of a software application, providing second data to a second primary user interface that causes the second primary user interface to provide a second view of the application state, changing the application state to a new application state, and in response to changing the application state, providing data to the first and second view modules so as to cause the first primary user interface to provide a first view of the new application state and the second primary user interface to provide a second view of the new application state.

Multiple primary user interfaces

Generally discussed herein are techniques, software, apparatuses, and systems configured for application development for an application using multiple primary user interfaces. In one or more embodiments, a method can include receiving data indicating a plurality of workflow activities to be used in an application, each of the workflow activities including data corresponding to a configuration of a view model module and a list of views to be associated with the configuration, receiving data indicating a plurality of primary user interface views to associate with each of the workflow activities, receiving data indicating a connection between two of the workflow activities of the plurality of workflow activities, and producing an application model based on the received data indicating the plurality of workflow activities, the data indicates the connection between two of the workflow activities and the data indicating the plurality of primary user interface views.

Application development using multiple primary user interfaces

A method of characterizing inventory items to a planogram includes receiving images of view of a scene with inventory items and corresponding indicia using an imaging device; receiving utterances (such as spoken description of inventory items) from a user using a voice recognition system; identifying inventory items in the scene and a corresponding identification code based at least in part on the images and at least in part on the utterances; identifying a plurality of attributes corresponding to the inventory items; and characterizing the inventory items to a planogram based on the respective identification code and plurality of attributes.

Method and system for inputting products into an inventory system

Generally discussed herein are techniques, software, apparatuses, and systems configured for managing a navigation stack of an application including multiple primary user interfaces (UIs). In one or more embodiments, a method can include providing data to multiple primary UIs that causes each of the multiple primary UIs to present a view of a plurality of views of an application state of the software application, receiving data indicating the application state of the application has changed, and pushing a workflow activity of the application onto a navigation stack, wherein each workflow activity includes data corresponding to a configuration of a view model module and a list of views associated with the configuration, the view model module provides the data that causes the plurality of views to be presented on the multiple primary UIs in response to the configuration being loaded on in the view model module.

Stack handling using multiple primary user interfaces

A method includes detecting an event published to a workflow activity by a voice based dialog view, wherein the event indicates a state of asset retrieval, navigating to a built-in asset retrieval work activity, retrieving an asset, and dismissing the workflow activity to revert to a workflow activity associated with the voice based dialog view.

Voice mode asset retrieval

A system has a domain expert component library stored on a computer readable storage device, the component library containing connectable components that create a mobile workflow based application; a domain expert user interface coupled to the domain expert component library to facilitate assembly of components in a workflow sequence; and a developer user interface coupled to: receive an intermediate representation of a workflow application based on the workflow sequence, and provide a software programming language environment to perform data manipulation changes to the intermediate representation to create the mobile workflow based application.

Facilitating workflow application development

A speech recognition system receives and analyzes speech input from a user in order to recognize and accept a response from the user. Under certain conditions, information about the response expected from the user may be available. In these situations, the available information about the expected response is used to modify the behavior of the speech recognition system by taking this information into account. The modified behavior of the speech recognition system comprises adjusting the rejection threshold when speech input matches the predetermined expected response.

Method and system for considering information about an expected response when performing speech recognition

Application development using mutliple primary user interfaces

Methods are disclosed for identifying possible errors made by a speech recognition system without using a transcript of words input to the system. A method for model adaptation for a speech recognition system includes determining an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The method may further include adjusting an adaptation, of the model for the word or various models for the various words, based on the error rate. Apparatus are disclosed for identifying possible errors made by a speech recognition system without using a transcript of words input to the system. An apparatus for model adaptation for a speech recognition system includes a processor adapted to estimate an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The apparatus may further include a controller adapted to adjust an adaptation of the model for the word or various models for the various words, based on the error rate.

Methods and systems for identifying errors in a speech recognition system

A method for model adaptation for a speech recognition system includes determining an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The method may further include adjusting an adaptation, of the model for the word or various models for the various words, based on the error rate. Apparatus are disclosed for identifying possible errors made by a speech recognition system without using a transcript of words input to the system. An apparatus for model adaptation for a speech recognition system includes a processor adapted to estimate an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The apparatus may further include a controller adapted to adjust an adaptation of the model for the word or various models for the various words, based on the error rate.

Methods and systems for adapting a model for a speech recognition system

A method for assessing a performance of a speech recognition system may include determining a grade, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words, wherein the grade indicates a level of the performance of the system and the grade is based on a recognition rate and at least one recognition factor. An apparatus for assessing a performance of a speech recognition system may include a processor that determines a grade, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words, wherein the grade indicates a level of the performance of the system and wherein the grade is based on a recognition rate and at least one recognition factor.

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Murrysville, PA, United States of America

Jeffrey Pike