User experience evaluation method and system based on ELMAN neural network

A neural network and evaluation method technology, which is applied in the field of user experience evaluation method and system based on ELMAN neural network, can solve the problem that R&D personnel cannot quickly obtain user experience data of newly developed APP.

Inactive Publication Date: 2019-06-25
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the R&D personnel cannot quickly obtain the user experience data of the newly developed APP in the current pro

Method used

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  • User experience evaluation method and system based on ELMAN neural network
  • User experience evaluation method and system based on ELMAN neural network
  • User experience evaluation method and system based on ELMAN neural network

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Embodiment Construction

[0058] In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident, however, that these embodiments may be practiced without these specific details.

[0059] Aiming at the problem that the R&D personnel cannot quickly obtain the user experience data of the newly developed APP during the product development process, the present invention provides a user experience evaluation method and system based on the ELMAN neural network

[0060] The present invention trains the ELMAN model by collecting user videos and user survey data, and through the trained ELMAN model, recognizes the video of the user using the newly developed APP, and quickly obtains the user experience data of the user.

[0061] Among them, it should be noted that the ELMAN network can be regarded as a recurrent neural network with local memory units and local feedback connections.

[00...

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Abstract

The invention provides a user experience evaluation method and system based on an ELMAN neural network, and the method comprises the steps: obtaining a process video of a user using a newly developedAPP through development of a mobile phone App, and transmitting the process video to a cloud end (the video file can be shot or read through the mobile phone App on site); decomposing the video into aseries of continuous photos at a cloud end; a face recognition technology is applied to recognize the face expression types corresponding to the series of photos, code vectors with expressions changing along with time are obtained, and on a cloud platform, a complex nonlinear relation model of user experience data and corresponding user experience process scores is established through an ELMAN neural network; a user experience evaluation result of the user experience process can be automatically obtained by inputting a video to serve as a basis for upgrading and optimizing an APP product by an enterprise.

Description

technical field [0001] The invention relates to the field of big data, in particular to a user experience evaluation method and system based on an ELMAN neural network. Background technique [0002] Nowadays, the development of various APP software products emerges in an endless stream. Whether an APP software product can be successful or not, user experience has gradually become a key factor. Big data has become an important reference tool for improving user experience. Effective data mining and analysis can be used by enterprises to improve the user experience of existing products, and develop new products and services through the above results. Targeted user experience measures are taken so that users have a good user experience psychologically, but it is difficult to express the user experience results in an intuitive and real way. However, expressions are used by humans to express various emotional states The most intuitive and authentic way is a very important means o...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06Q30/02
Inventor 李太福廖志强尹蝶段棠少张志亮黄星耀
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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