Fmr Corp.

Bahram Omidfar

Sunil Madhani

Xinxin Sheng

Jason Kao

Erkang Zheng

Hongbing Gu

Thomas Eugene Dougherty

Hongyu Wang

Methods and apparatuses are described for determining customer service quality through digitized voice characteristic measurement and filtering. A voice analysis module captures a first digitized voice segment corresponding to speech submitted by a user of a remote device. The voice analysis module extracts a first set of voice features from the first voice segment, and determines an emotion level of the user based upon the first set of voice features. The voice analysis module captures a second digitized voice segment corresponding to speech submitted by the user. The voice analysis module extracts a second set of voice features from the second voice segment, and determines a change in the emotion level of the user by comparing the first set of voice features to the second set of voice features. The module normalizes the change in the emotion level of the user using emotion influence factors, and generates a service score.

Determining customer service quality through digitized voice characteristic measurement and filtering

Methods, systems and apparatuses, including computer program products, are described for determining a performance metric of a mobile computing device application. A test computing device captures a plurality of images displayed on a mobile computing device based on execution of a mobile computing device application. The test computing device determines a first property for first and second images of the plurality of images. A first performance parameter is set based on a difference between the first properties of the first and second images. The test computing device determines a first property for third and fourth images of the plurality of images. A second performance parameter is set based on a difference between the first properties of the third and fourth image. A performance metric is determined based on a difference between the first performance parameter and the second performance parameter.

Automated measurement of mobile device application performance

Described are methods and apparatuses, including computer program products, for testing mobile devices using an intelligent mobile device test fixture. A server computing device generates programmatic instructions for testing an application on a mobile device coupled to the test fixture, where the programmatic instructions are based upon a test script, and include a first set of instructions and a second set of instructions. The server computing device transmits the first set of instructions to the application, and transmits the second set of instructions to a controller board coupled to the test fixture. The application executes the first set of instructions to activate functionality. The controller board executes the second set of instructions to activate one or more servo motors of the test fixture that control movement of the fixture. The server computing device determines an updated state of the application after execution of each instruction.

Intelligent mobile device test fixture

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Summit, WI, United States of America

Bahram Omidfar