论文标题
Biraffe2实验。在生物反应和面孔中研究AI系统的基于情绪的个性化
The BIRAFFE2 Experiment. Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems
论文作者
论文摘要
本文描述了Biraffe2数据集，这是2019年至2020年之间进行的情感计算实验的结果，该实验旨在开发用于分类和识别情绪的计算机模型。这种工作对于开发自然人类相互作用的新方法很重要。正如我们认为应该通过设计个性化的情感模型，我们提出了一个统一的范式，允许捕获不同人的情感反应，并考虑到个人个性差异。我们根据对计算机游戏玩家的观察，将情感反应收集的经典心理范式与更新的方法相结合。通过捕获心理生理反应（ECG，EDA信号记录），模拟表达（面部情感识别），主观价值 - 阳性平衡等级（小部件评分）和游戏过程（加速度计和屏幕截图记录），我们可以轻松地使用和开发用于机器学习方法的框架。
The paper describes BIRAFFE2 data set, which is a result of an affective computing experiment conducted between 2019 and 2020, that aimed to develop computer models for classification and recognition of emotion. Such work is important to develop new methods of natural Human-AI interaction. As we believe that models of emotion should be personalized by design, we present an unified paradigm allowing to capture emotional responses of different persons, taking individual personality differences into account. We combine classical psychological paradigms of emotional response collection with the newer approach, based on the observation of the computer game player. By capturing ones psycho-physiological reactions (ECG, EDA signal recording), mimic expressions (facial emotion recognition), subjective valence-arousal balance ratings (widget ratings) and gameplay progression (accelerometer and screencast recording), we provide a framework that can be easily used and developed for the purpose of the machine learning methods.
