使用地理标记的面部表情来可视化和描述不同的人口群体在主题公园的情绪
Xiaoqing Song1, Haoze Wu2,3, Wei Jiang1
1School of Geography and Tourism, Anhui Normal University, Wuhu, 241003, China.
Scientific reports
|September 9, 2024
概括
这项研究可视化了旅游者的情绪,使用来自社交媒体的面部表情,揭示了不同人口群体的独特情绪模式,如主题公园中的性别和年龄. 了解这些变化可以增强旅游研究和体验优化.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 旅游学研究 旅游学研究
背景情况:
- 旅游研究往往忽视了游客情绪的人口差异.
- 现有的研究将情感理解限制在明确的旅游特征上.
- 优化旅游体验需要更深入地了解各种情绪反应.
研究的目的:
- 通过使用社交媒体数据,可视化和分析风景旅游景点中的特定群体情绪.
- 揭示和比较主题公园内的不同人口群体之间的情绪变化.
- 增强旅游中的情感理论化,并提供实用的见解.
主要方法:
- 利用来自社交媒体平台的地理标签面部表情.
- 使用面部识别算法创建情绪分布图.
- 结合分析方法来描述和比较群体情绪分布.
主要成果:
- 确定了每个人口群体的独特情绪分布特征.
- 在不同群体之间表现出相当大的情绪差异.
- 在风景秀丽的景点和主题公园中成功地可视化和详细化了群体情绪.
结论:
- 游客的情绪表现出显著的人口统计学变化,影响整体体验.
- 拟议的方法框架为了解旅游者的情绪提供了一种新的方法.
- 这些发现有助于更深入地了解情感差异和旅游业的实际应用.
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