Human-computer experiment data analysis method based on eye movement, heart rate variability and behavior

Abstract

The invention discloses a human-computer experiment data analysis method based on eye movement, heart rate variability and behavior, which comprises the following steps: (1) collecting human-computer experiment data of eye movement, heart rate variability and behavior; (2) using gray Model expansion of sample data volume; (3) establishment of eye movement, heart rate variability and behavioral analysis models and comprehensive analysis models; (4) calculation of the average residual error of human-computer experiment data; (5) establishment of the error between the experimental group and the control group Range [Z 实验 -σ 实验 ,Z 实验 +σ 实验 ] and [Z 对照 -σ 对照 ,Z 对照 +σ 对照 ], draw an analysis conclusion based on the intersection of the two error ranges, and finally get the user's experience of the service design in the script task, and then judge the rationality of the service design. The data analysis method of the present invention provides an analysis method for quantitative processing of man-machine data in service design, which can scientifically and accurately judge the rationality of service design and avoid ambiguity and uncertainty of subjective judgment.

Description

technical field [0001] The invention relates to an analysis method of man-machine experiment data, especially a data analysis method based on eye movement, heart rate variability and behavior. Background technique [0002] In recent years, with the transfer of design focus from product, interaction, user experience, etc. to service, the era of service design dominated by service economy has come. Service design is mainly produced and developed in the fields of computer, communication, industrial design and management. It is user-centered and provides systematic and creative methods to improve service quality and promote the interaction between service providers and consumers. [0003] Traditional industrial design is based on the designer's inspiration and creation. When judging the quality of service design, it is mostly the subjective judgment of designers and researchers, which lacks certain scientificity and accuracy. With the advent of the new IT era, the development of...

AI Technical Summary

Problems solved by technology

At present, eye movement and EEG data are commonly used, but the measurement of EEG is very intrusive to the human body, which makes people uncomfortable, and the data availability rate is not high; the effect of eye movement tracking is good, but it is difficult to use only eye movement data Complete and accurate analysis and judgment

At present, there is still no perfect data analysis method that can quantitatively analyze the data of man-machine experiments in service design, so as to judge the rationality of service design and user needs

Images