Massachusetts Institute of Technology, Media Lab, Cambridge, USA.
Gonda Multidisciplinary Brain Centre, Bar Ilan University, Ramat Gan, Israel.
Sci Data. 2023 May 20;10(1):307. doi: 10.1038/s41597-023-02064-8.
We introduce ChillsDB the first validated database of audiovisual stimuli eliciting aesthetic chills (goosebumps, psychogenic shivers) in a US population. To discover chills stimuli "in the wild", we devised a bottom-up, ecologically-valid method consisting in searching for mentions of the emotion' somatic markers in user comments throughout social media platforms (YouTube and Reddit). We successfully captured 204 chills-eliciting videos of three categories: music, film, and speech. We then tested the top 50 videos in the database on 600+ participants and validated a gold standard of 10 stimuli with a 0.9 probability of generating chills. All ChillsDB tools and data are fully available on GitHub for researchers to be able to contribute and perform further analysis.
我们引入了 ChillsDB，这是第一个在美国人群中验证的视听刺激引起审美寒战（鸡皮疙瘩、心理性颤抖）的数据库。为了在“野外”发现寒战刺激，我们设计了一种自下而上、生态有效的方法，包括在社交媒体平台（YouTube 和 Reddit）上搜索用户评论中提到的情感“躯体标记”。我们成功地捕捉到了音乐、电影和演讲三个类别的 204 个引起寒战的视频。然后，我们在 600 多名参与者身上测试了数据库中的前 50 个视频，并验证了一个黄金标准，即 10 个刺激有 0.9 的概率引起寒战。所有 ChillsDB 的工具和数据都完全可以在 GitHub 上获取，以便研究人员能够进行贡献和进一步分析。
