The Visualization Research of User Observation and Quantitative Information

Xin Zhang; Hai Fang; Fei Hu

doi:10.4028/www.scientific.net/AMM.651-653.1677

Paper Titles

The Employment Differentials of the Industry between Rural Migrant Workers and Urban Local Low Skilled Labors
p.1659

The Impact of Credit Constraint on Agricultural Productivity - Evidence from Less Developed Province of Jiangxi in China
p.1664

The Research on many Issues in Tax Sources Economy Management under the GIS Technology
p.1670

The Trading Methodology Using Employing Gibbs Effect at the Market Opening Time
p.1674

The Visualization Research of User Observation and Quantitative Information
p.1677

Tourism Marketing Strategy Based on Network - Take Microblog for Example
p.1685

Usage and Maintenance of Medical Apparatus and Instruments of Human Factors Research
p.1691

Use Logistic Regression to Predict User’ Behaviors
p.1695

Design of Performance Evaluation System of Fresh Agricultural Products Logistics Distribution
p.1699

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653The Visualization Research of User Observation and...

The Visualization Research of User Observation and Quantitative Information

Abstract:

User observation is a significant method for user research. Researchers collect information by field observation. Information collecting and analysis to information observed effects structure analyzing and innovative design of products directly. It visualizes the research results, eliminates interference information, unnecessary information and images and conveys useful information briefly and correctly, which makes the results more vivid. In order to benefit the future product development, this thesis, based on this purpose, mainly studies the better methods to visualize the research information of users.

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Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

1677-1684

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.1677

Citation:

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Online since:

September 2014

Authors:

Xin Zhang*, Hai Fang, Fei Hu

Keywords:

Information, User Observation, User Research, Visualization

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* - Corresponding Author

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