Wearable device sensor technology-based user behavior measurement method and operation deviation rectification model

A sensor technology and wearable device technology, applied in the field of user behavior measurement methods and operation correction models, can solve problems such as insufficient visual analysis capabilities, inability to provide application software usability, and low accuracy of smart watch operations

Active Publication Date: 2018-08-24
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1) On wearable devices, there is no user behavior measurement method or tool for application software testing
[0006] 2) The existing data obtained by the smart bracelet sensor is isolated, and the visual analysis capability is insufficient, and it is impossible to provide a method for developers and designers to quickly understand the usability of application software
Smart watches involve more differences in different stages of walking, which also leads to low accuracy of smart watch operations

Method used

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  • Wearable device sensor technology-based user behavior measurement method and operation deviation rectification model
  • Wearable device sensor technology-based user behavior measurement method and operation deviation rectification model
  • Wearable device sensor technology-based user behavior measurement method and operation deviation rectification model

Examples

Experimental program
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Effect test

Embodiment 1

[0159] A method for measuring user behavior based on wearable device sensor technology mainly includes the following devices: a wearable device 1, an acceleration sensor 2, an angular velocity sensor 3, a smart phone 4 and a server 5.

[0160] The wearable device 1 has a touch screen.

[0161] Further, the wearable device 1 is a smart watch or a smart bracelet.

[0162] The acceleration sensor 2 measures the acceleration data when the user wears the wearable device 1 and walks, runs, stands and sits quietly.

[0163] The angular velocity sensor 3 measures angular velocity data when the user wears the wearable device 1 while walking, running, standing and sitting still.

[0164] The smart phone 4 receives the acceleration data and the angular velocity data, and uploads the acceleration data and the angular velocity data to the server 5 .

Embodiment 2

[0166] The user behavior measurement method based on wearable device sensor technology that utilizes described equipment to carry out, mainly comprises the following steps:

[0167] 1) Data collection. The main steps are as follows:

[0168] 1.1) The user wears the wearable device 1 .

[0169] Further, when wearing the wearable device 1 , the user needs to enter his own identification information, such as personal ID number, etc. in the smart phone 4 . The user behavior measurement method and operation correction model based on wearable device sensor technology can use JavaME for programming and development of wearable devices and smartphones, and can use JavaEE with python and R languages ​​for server 5 programming and development.

[0170] 1.2) The user raises his hand to use the wearable device 1 . The acceleration sensor 2 measures the acceleration data I when the user raises his hand to use the wearable device 1 and converts it into an electrical signal I. The angular...

Embodiment 3

[0225] An operation correction model based on the user behavior measurement method based on the wearable device sensor technology mainly includes the following steps:

[0226] 1) Collect and record the interface operation data. The main steps are as follows:

[0227] 1.1) The user clicks on the activated bright spots 101 in the test prototype in the states of walking, running, standing and sitting down until all the bright spots 101 are clicked. During the process of clicking the bright spot 101, the user's operation mainly includes clicking the bright spot 101 in the test prototype on the touch screen and sliding the touch screen.

[0228] The test prototype is a test program displayed on the touch screen. The test prototype has m pages. The test prototype can randomly appear bright spots 101 uniformly distributed on the touch screen for users to click. The user turns pages of the test prototype by sliding the touch screen. The test prototype has randomly activated brigh...

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PUM

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Abstract

The invention discloses a wearable device sensor technology-based user behavior measurement method and an operation deviation rectification model. The method mainly comprises the following steps of 1)performing data collection; 2) performing data uploading; 3) performing behavior analysis; 4) judging a current motion state of a user; 5) building the interface operation deviation rectification model; and 6) according to the deviation rectification model and a sliding stability model, rectifying a deviation of user operation. The invention aims to provide the wearable device sensor technology-based user behavior measurement method and the operation deviation rectification model. The user behavior data can be widely and popularly collected; the collected data can be uploaded to a shared platform for quick visualization and subsequent test analysis; and the user-based operation deviation rectification model can be built.

Description

technical field [0001] The invention relates to the technical field of human factors engineering, in particular to a user behavior measurement method and an operation correction model based on wearable device sensor technology. Background technique [0002] With the popularity of various wearable devices such as smart bracelets and smart watches, application software on these devices emerges in an endless stream. Due to the close-fitting wearing of wearable devices, enhanced mobility, smaller screens, and more variable use environments, this brings usability problems to application development on these devices, and designs watches that can bring better user experience Or wristband application, also becomes very difficult. [0003] Developers and designers of wearable device application software need measurement methods to capture and analyze user behavior, and testers can test their application software, so that they can continuously solve the usability problems of wearable...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06F3/0346G01C23/00H04W4/02H04W4/38
CPCG01C23/00G06F3/011G06F3/0346H04W4/027H04W4/38
Inventor 莫凡周佳
Owner CHONGQING UNIV
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