跑步类APP健康传播效果实证研究

发布时间：2018-01-18 06:01

本文关键词：跑步类APP健康传播效果实证研究　出处：《山东大学》2017年硕士论文　论文类型：学位论文

【摘要】：在全民健身的大背景下,依托智能可穿戴设备、跑步APP和社交媒体等技术平台,出现越来越多的跑步爱好者。跑步类APP带来可视化能共享的运动数据,直接影响了用户对自身健康的认识。通过与社交媒体相关联,跑步类APP形成跑步兴趣社交圈,在这样的一个社群中,有交往也有交流,健康的观念也会随之传播。本论文通过深度访谈法、参与式观察法、问卷调查法等方法,分析跑步健身类APP用户的使用动机、使用行为和使用态度,测量其与用户健康信念之间相关关系,以此研究跑步APP对用户自身及其社群带来的健康传播效果。本文第一章为绪论,主要对论文的研究背景、研究目的、研究意义、研究对象和研究方法进行了说明,并对相关文献进行了梳理研究。第二章主要围绕跑步APP的传播特征和用户心理特征展开。跑步APP通过数据可视化,让用户对运动量和运动轨迹有更清晰的了解,而社交分享功能则加深了互动,在不断的互动分享中出现了跑团社群,通过晒图和排行榜,跑者以行为的可见性获得群体认同和成就感,以此激励自己健康行为不断持续。通过深度访谈,笔者对跑步APP用户的使用心理进行了总结刻画。跑步APP用户在使用心理各有不同,有些是为了为健身运动确定目标,有些是为了追随潮流,而使用后的心理集中为获得成就感和寻找归属感两种心理。心理健康是个人健康的重要组成部分,跑步类APP通过其特有的健康传播特征,对用户的心理健康有重要的积极促进作用。论文第三章对本文调查研究设计做出说明。首先,以技术接受模型和健康信念模型为参考,笔者构建了本文的研究模型。其次,根据论文的研究模型确定了调查研究的因变量、自变量、中介变量和控制变量,然后设计问卷并提出研究假设。最后对问卷调查的抽样方法、发放和回收情况进行说明。第四章主要对问卷调查数据进行统计分析。第一小节中,运用描述性统计方法,对样本的人口统计学因素进行分析说明,并对被试者的使用态度和健康信念相关题项进行均值上的描述性统计。第二小节采用克朗巴哈系数法对问卷进行信度分析,结果表明样本数据具有比较好的可信度。第三小节通过相关分析进行显著性检验,结果显示提出的29个原假设中,有19个假设成立。第五章主要是对论文的研究结论进行总结,并对跑步APP未来发展提出建议。通过调查数据显示,跑步APP对用户健康信息的获取、健康观念的建立、健康行为的持续和身体状况的改善具有积极效果,其中,用户的参与层次、跑步APP的易用度、时尚度和信任度对健康传播效果有显著影响。针对以上结论,跑步APP应采取提供个性化与专业化的服务、规范社群互动、深挖健康大数据、注重体医结合等措施,完善用户体验,进一步促进用户健康的改善。
[Abstract]:In the context of national fitness, relying on intelligent wearable devices, running APP and social media and other technology platforms, there are more and more runners. Running APP brings visual sharing of sports data. It has a direct impact on users' understanding of their own health. By associating with social media, the running APP forms a social circle of running interests, in which there is interaction and communication. The concept of health will also spread. Through in-depth interviews, participatory observation, questionnaire survey and other methods, this paper analyzes the use motivation, use behavior and use attitude of APP users. In order to study the effect of running APP on the health transmission of users and their communities, the first chapter is the introduction, which mainly focuses on the research background and purpose of the paper. The significance of the research, the research object and the research method are explained. The second chapter focuses on the communication characteristics of running APP and the psychological characteristics of users. The running APP is visualized by data. Let users have a clearer understanding of the amount and track of movement, while the social sharing function has deepened interaction, in the continuous interactive sharing of the emergence of a group community, through the sun map and ranking. Runners gain group identity and a sense of achievement through behavioral visibility to encourage their healthy behavior to continue. Through in-depth interviews. The author summarizes and characterizes the psychology of running APP users. The use psychology of running APP users is different, some are to set goals for fitness, some are to follow the trend. Mental health is an important part of personal health, and running APP has its own health transmission characteristics. The third chapter explains the research and design of this paper. Firstly, it takes the technology acceptance model and the health belief model as the reference. Secondly, according to the research model of the paper, the dependent variables, independent variables, intermediate variables and control variables are determined. Then we design the questionnaire and put forward the research hypotheses. Finally, the sampling method, distribution and recovery of the questionnaire are explained. Chapter 4th mainly analyzes the data of the questionnaire. In the first section. Using descriptive statistical method, the demographic factors of the sample were analyzed and explained. And the use of attitude and health beliefs of the subjects were analyzed on the average descriptive statistics. The second section used the method of Krobaha coefficient to analyze the reliability of the questionnaire. The results show that the sample data have good credibility. The third section through correlation analysis to test the significance, the results show that the proposed 29 original assumptions. There are 19 hypotheses established. 5th chapter is mainly to summarize the conclusions of the paper and give some suggestions on the future development of running APP. Through the survey data show that running APP to obtain user health information. The establishment of health concept, the persistence of healthy behavior and the improvement of physical condition have positive effects, among which, the level of user participation and the ease of use of running APP. Based on the above conclusions, running APP should provide personalized and professional services, regulate community interaction, and dig health big data deeply. Pay attention to the combination of physical and medical measures, improve the user experience, and further promote the improvement of user health.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G206

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