| With the improvement of people’s living standards,the amount of daily garbage has also increased.More than 60% of my country’s cities have seen a “garbage siege” situation.There are nearly 400 million tons of garbage in China every year.Therefore,the garbage must be classified reasonably.The traditional garbage classification system has been unable to meet the needs of garbage classification under the current national conditions,and the problem of garbage failing to be classified in time has become more and more serious.With the rapid development of the Internet and Internet of Things(IOT)technology,China is adopting the“Internet Plus” intelligent technology to guide and solve the problem of garbage classification.While Internet technology helps people to classify garbage reasonably,it also brings some hidden dangers,which may expose personal privacy issues.For example,private information such as personal name,mobile phone number,and We Chat avatar.Therefore,it is necessary to conduct research on how privacy disclosure affects decision-making when individuals classify“Internet Plus” garbage.First of all,through reading a lot of relevant literature,sort out user decision-making,privacy disclosure and the relevant research status of “Internet Plus” garbage classification,define the concepts of privacy disclosure and “Internet Plus” garbage classification,and explain the theories and related ERPs components involved in related articles.Second,collect the original corpus through personal interviews,use grounded theory,encode the original data,identify the privacy disclosure factors that affect the “Internet Plus” garbage classification,put forward relevant assumptions,and construct a privacy disclosure that affects the “Internet Plus”garbage classification decision-making Influence the model.Thirdly,through SPSS23.0 and AMOS24.0,the reliability and validity test,path analysis,mediation effect test,etc.of the collected questionnaire data are used to establish a structural equation model to verify the research hypothesis of the thesis.The empirical results show that:(1)The scope of privacy disclosure,the degree of personal information anonymity,and platform familiarity have a significant positive impact on the willingness of “Internet Plus” garbage classification.(2)The degree of risk perception has a significant negative impact on the willingness to sort “Internet Plus” garbage.(3)The willingness to classify “Internet Plus” garbage has a partial intermediary effect in the process of privacy disclosure,anonymity of personal information,risk perception,and platform familiarity on the “Internet Plus” garbage classification behavior.Then,the event-related potential method is used to explore the influence of the scope of privacy disclosure on the decision-making of “Internet Plus” garbage classification,and the corresponding explanation is given from the perspective of electrophysiology.Research has found that behavioral data shows that the scope of privacy disclosure will significantly affect the time and accuracy of the participants’ “Internet Plus” garbage classification.Specifically,under the condition that the result of garbage classification is visible to strangers,the participants have the longest reaction time(RTs)in the “Internet Plus” garbage classification.Under the condition that the result of garbage classification is visible to friends in the community,subjects have a higher accuracy rate(ACC)for “Internet Plus” garbage classification.According to EEG data,it was found that the subjects’ P2 amplitude was the largest when the results of “Internet Plus” garbage classification were visible to strangers,indicating that subjects paid the most attention to strangers.Combined with EEG data and behavioral data,research shows that the scope of privacy disclosure positively affects the decision-making of “Internet Plus” garbage classification.Finally,the main research conclusions are summarized and summarized based on the research content of this article,and reasonable suggestions and strategies are put forward based on the actual situation. |
