Emotional journalism is being driven by audiovisual technology such as drones, also known as unmanned aerial vehicles, which have demonstrated their usefulness in transforming objective news into news stories from a new visual perspective, facilitating access to dangerous or difficult places. They also allow for greater immersion by an audience that has become an active participant in the news, and they contribute to the storytelling of communication despite the risk to privacy and security that their misuse might entail. The aim of this research is to determine the differences in attention and intensity of the emotions experienced when viewing two pieces of audiovisual news: One was filmed with the technological support of a drone, and the other was produced in the conventional way. The techniques of eye tracking and galvanic skin response were used in 30 Spanish university students. The results suggest that attention was focused on the most spectacular visual elements, although the images filmed with a drone received a higher concentration of attention from the subjects, and this attention was spread throughout the entire image, which demonstrates that drones enhance the effectiveness of panoramic images with natural landscapes. The greatest emotion generated by viewing the images recorded with drones was statistically significant, but it was limited exclusively to these particular scenes, and not to the entire recording of the news.

中文翻译：

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无人机拍摄新闻中的受众注意和情感：一项神经营销研究

情感新闻正在受到视听技术的推动，例如无人机（也称为无人驾驶飞机），它们已经显示了从新的视觉角度将客观新闻转换为新闻报道的有用性，从而可以方便地进入危险或困难的地方。它们还使已经成为新闻的积极参与者的受众更加沉浸其中，尽管他们的滥用可能带来隐私和安全风险，但它们有助于交流的叙事方式。这项研究的目的是确定在观看两条视听新闻时，注意力和情感强度的差异：一种是在无人机的技术支持下拍摄的，另一种是通过常规方式制作的。30名西班牙大学生使用了眼动追踪和皮肤电反应技术。结果表明，注意力集中在最壮观的视觉元素上，尽管用无人机拍摄的图像受到对象的关注度更高，并且这种注意力分散在整个图像中，这表明无人机增强了全景拍摄的有效性。具有自然景观的图像。通过查看用无人机记录的图像产生的最大情感具有统计学意义，但仅限于这些特定场景，而不是整个新闻记录。尽管用无人机拍摄的图像吸引了更高的注意力，而且这种注意力分散在整个图像上，这表明无人机可以增强自然景观下全景图像的有效性。通过查看用无人机记录的图像产生的最大情感具有统计学意义，但仅限于这些特定场景，而不是整个新闻记录。尽管用无人机拍摄的图像吸引了更高的注意力，而且这种注意力分散在整个图像上，这表明无人机可以增强自然风景全景图像的有效性。通过查看用无人机记录的图像产生的最大情感具有统计学意义，但仅限于这些特定场景，而不是整个新闻记录。