| Summary: | 碩士 === 國立東華大學 === 國際企業學系 === 101 === For the recently, smart phone and Mobile Apps has becoming popular, so we can see many users move the finger on the smartphones in anywhere. The technical innovation, the real human relationships have become alienation. According to the report of iSURVER, the 75.3% of 2000 subjects that feel technology could make interpersonal alienation. However, the weakening of interpersonal is eaiser to produce loneliness. And then, in the previous studies, they had proven technology and loneliness have the relationship, so it shows the use of technology and loneliness have close relationship. Therefore, this study wants to understand whether the smartphones users’ loneliness and the Apps using have the relationship?
The Apps have many types and functions, but not all of types and functions are popular for the users. So, this study uses the qualitative methods to explore the characteristics of Apps what are important for the users.
Through to collect network comments of the top twenty App in the Google Play’s ranking. And then, this study uses the Natural Language Processing (NLP) to explore the important characteristics of Apps. Through Text Segmentation, Coding, Statistics, and term co-concurrence networks that can find the meaningful implications of the comment. So, we can understand what characteristics of Apps are important for the users.
And then, we are based on the results of NLP analysis to make the questionnaire that can survey the smartphone’s users. It wants to understand whether the user’s loneliness and the Apps using have relationship.
In the results of qualitative analysis, we found the users concerned about the characteristics of Apps are Gaming Behavior (Smoothness, control, diversity, interactive and challenging), Human Interaction (real-time, interactive, subjective norm, and message retention), and Information Sharing (Show and Real-time). In the results of quantitative analysis, we found the loner would be easier spent more time to use the Apps; they are like to do the behavior of Gaming Bhavior, Human Interaction and Information Sharing. In addition, the users use the Apps over three hours in the very days, who have a significant loneliness.
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