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Design Factors That Influence Emotional Responses to Engage in Instructional Visual Display Designs

机译:影响情感反应参与教学视觉显示设计的设计因素

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摘要

The purpose of this research was to understand the emotions emitted by college students in response to viewing online digital representations of evidenced-based visual display design principles. The study focused on identifying an approach to the design of visual displays that reflects human information processing design principles applicable to online instruction and that contributes to the enhancement of students' emotional engagement with online instruction. The study focused on investigating technological approaches to measuring the indicators of each participant's responses in two different emotional dimensions: emotional arousal (high/low) as detected by the Q sensor, and emotional valence (positive/negative) as detected by the CERT.;This study included a large amount of data: 12,896 electrodermal activities to generalize people's emotional arousal changes over 124 representations and 104 subjects. Also, 851,701 facial expressions were collected to generalize the effects of people's positive emotion valence. A two-way ANOVA found a difference of emotional arousal in simple-text representations. The highest emotional arousal was on good color images (M=0.827) and the lowest emotional arousal was on poor texture images (M=0.632.). A one-way analysis of variance found the highest mean score (M=0.743) was at the format of one paragraph with the 1.0 line spacing. The lowest mean score (M=0.505) was the format of 3 columns. On the other hand, the fixed-mixed regression model predicted the increment of emotional valence and showed that visual variables had significantly different effects of facial expressions. The good digital visual display representations in color increased 0.023 of joy facial expressions. The good digital visual display representations in shape increased 0.063 of joy facial expression. When the format of 3 columns was shown on the screen, the participant's joy raised 0.104. Compared to other three formats, this was the highest increment.;The findings of this research lead us to believe that to enhance student's emotional engagement in online instruction, a clear need exists to design digital visual displays that emitted their positive emotions. These positive emotions, in turn, may improve their affective experiences. In the reflections of the findings, they offer the statements and applications of representations are offered for online instructional designers and developers.
机译:这项研究的目的是了解大学生响应查看基于证据的视觉显示设计原理的在线数字表示而发出的情绪。该研究的重点是确定一种视觉显示设计方法,该方法反映了适用于在线指导的人类信息处理设计原则,并有助于增强学生对在线指导的情感投入。这项研究的重点是研究在两个不同的情感维度上测量每个参与者的反应指标的技术方法:Q传感器检测到的情绪唤醒(高/低)和CERT检测到的情绪价(正/负)。这项研究包括大量数据:12,896次皮肤电活动,用于概括124个表征和104个受试者中人们的情绪唤醒变化。此外,还收集了851,701个面部表情,以概括人们积极情绪化合价的影响。双向方差分析(ANOVA)在简单文本表示中发现了情感唤醒的差异。最高的情绪唤起是在良好的彩色图像上(M = 0.827),最低的情绪唤起是在较差的纹理图像上(M = 0.632)。单因素方差分析发现,最高平均得分(M = 0.743)是采用1.0行距的一段格式。最低平均得分(M = 0.505)是3列的格式。另一方面,固定混合回归模型预测了情绪价的增加,并表明视觉变量对面部表情的影响显着不同。彩色的良好数字视觉显示效果使欢乐的面部表情增加了0.023。良好的数字视觉显示表示可增加0.063的欢乐面部表情。当屏幕上显示3列的格式时,参与者的喜乐度提高了0.104。与其他三种格式相比,这是最高的增量。这项研究的发现使我们相信,为了增强学生对在线教学的情感投入,显然需要设计能够释放自己积极情绪的数字视觉显示器。这些积极的情绪反过来可以改善他们的情感体验。在对调查结果的反思中,他们为在线教学设计师和开发人员提供了陈述和表述的应用。

著录项

  • 作者

    Hsu, Yu-Ping.;

  • 作者单位

    University of Kansas.;

  • 授予单位 University of Kansas.;
  • 学科 Educational technology.;Design.;Physiological psychology.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 216 p.
  • 总页数 216
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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