Faculty of Informatics and Management, University of Hradec Králové, Rokitanského 62, 500 03 Hradec Králové, Czech Republic.
Int J Environ Res Public Health. 2022 Aug 25;19(17):10588. doi: 10.3390/ijerph191710588.
Many studies have demonstrated that exposure to simulated natural scenes has positive effects on emotions and reduces stress. In the present study, we investigated emotional facial expressions while viewing images of various types of natural environments. Both automated facial expression analysis by iMotions' AFFDEX 8.1 software (iMotions, Copenhagen, Denmark) and self-reported emotions were analyzed. Attractive and unattractive natural images were used, representing either open or closed natural environments. The goal was to further understand the actual features and characteristics of natural scenes that could positively affect emotional states and to evaluate face reading technology to measure such effects. It was predicted that attractive natural scenes would evoke significantly higher levels of positive emotions than unattractive scenes. The results showed generally small values of emotional facial expressions while observing the images. The facial expression of joy was significantly higher than that of other registered emotions. Contrary to predictions, there was no difference between facial emotions while viewing attractive and unattractive scenes. However, the self-reported emotions evoked by the images showed significantly larger differences between specific categories of images in accordance with the predictions. The differences between the registered emotional facial expressions and self-reported emotions suggested that the participants more likely described images in terms of common stereotypes linked with the beauty of natural environments. This result might be an important finding for further methodological considerations.
许多研究表明，暴露于模拟自然场景对情绪有积极影响，并能减轻压力。在本研究中，我们调查了观看各种类型自然环境图像时的情绪面部表情。我们分析了 iMotions 的 AFFDEX 8.1 软件（iMotions，哥本哈根，丹麦）的自动面部表情分析和自我报告的情绪。使用有吸引力和无吸引力的自然图像，分别代表开放或封闭的自然环境。目的是进一步了解能够积极影响情绪状态的自然场景的实际特征，并评估面部表情识别技术来衡量这种效果。预测有吸引力的自然场景会引发比无吸引力场景更高水平的积极情绪。结果表明，在观察图像时，情绪面部表情的数值通常较小。观察到的喜悦表情明显高于其他登记的情绪。与预测相反，在观看有吸引力和无吸引力的场景时，面部情绪没有差异。然而，图像引发的自我报告情绪与预测相符，在特定类别的图像之间显示出显著差异。登记的情绪面部表情和自我报告情绪之间的差异表明，参与者更有可能根据与自然环境之美相关的常见刻板印象来描述图像。这一结果可能是进一步考虑方法学的重要发现。
