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.

我们介绍了 ChillsDB，它是第一个经过验证的数据库，包含在美国人群中引起审美寒意（起鸡皮疙瘩、心因性颤抖）的视听刺激。为了“在野外”发现寒冷刺激，我们设计了一种自下而上、生态有效的方法，包括在整个社交媒体平台（YouTube 和 Reddit）的用户评论中搜索情绪躯体标记的提及。我们成功捕获了 204 个引起寒意的视频，分为三类：音乐、电影和演讲。然后，我们在 600 多名参与者身上测试了数据库中排名前 50 位的视频，并验证了 10 种刺激的黄金标准，产生寒意的概率为 0.9。所有 ChillsDB 工具和数据都在 GitHub 上完全可用，供研究人员贡献和执行进一步分析。