Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset [0.03%]
复杂故事中的情感建模：斯坦福情感叙事数据集
Desmond C Ong,Zhengxuan Wu,Tan Zhi-Xuan et al.
Desmond C Ong et al.
Human emotions unfold over time, and more affective computing research has to prioritize capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli requires solving the twin challenges of time-series modeling ...
Desmond C Ong,Harold Soh,Jamil Zaki et al.
Desmond C Ong et al.
Affective Computing is a rapidly growing field spurred by advancements in artificial intelligence, but often, held back by the inability to translate psychological theories of emotion into tractable computational models. To address this, we...
Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health [0.03%]
个性化多任务学习用于预测明天的情绪、压力和健康状况
Sara Taylor,Natasha Jaques,Ehimwenma Nosakhare et al.
Sara Taylor et al.
While accurately predicting mood and wellbeing could have a number of important clinical benefits, traditional machine learning (ML) methods frequently yield low performance in this domain. We posit that this is because a one-size-fits-all ...
Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data [0.03%]
基于概率多图模型改善众包情感数据质量的方法
Jianbo Ye,Jia Li,Michelle G Newman et al.
Jianbo Ye et al.
We proposed a probabilistic approach to joint modeling of participants' reliability and humans' regularity in crowdsourced affective studies. Reliability measures how likely a subject will respond to a question seriously; and regularity mea...
The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset [0.03%]
慢性疼痛相关表情的自动检测：需求、挑战及多模态EmoPain数据集
Min S H Aung,Sebastian Kaltwang,Bernardino Romera-Paredes et al.
Min S H Aung et al.
Pain-related emotions are a major barrier to effective self rehabilitation in chronic pain. Automated coaching systems capable of detecting these emotions are a potential solution. This paper lays the foundation for the development of such ...
A Computational Study of Expressive Facial Dynamics in Children with Autism [0.03%]
自闭症儿童表情性面部动态的计算研究
Tanaya Guha,Zhaojun Yang,Ruth B Grossman et al.
Tanaya Guha et al.
Several studies have established that facial expressions of children with autism are often perceived as atypical, awkward or less engaging by typical adult observers. Despite this clear deficit in the quality of facial expression production...
Modeling multiple time series annotations as noisy distortions of the ground truth: An Expectation-Maximization approach [0.03%]
将多时间序列注释建模为ground truth的噪声失真：一种期望最大化方法
Rahul Gupta,Kartik Audhkhasi,Zach Jacokes et al.
Rahul Gupta et al.
Studies of time-continuous human behavioral phenomena often rely on ratings from multiple annotators. Since the ground truth of the target construct is often latent, the standard practice is to use ad-hoc metrics (such as averaging annotato...
Cognitive Load Measurement in a Virtual Reality-based Driving System for Autism Intervention [0.03%]
基于虚拟现实的自闭症驾驶干预系统的认知负荷测量
Lian Zhang,Joshua Wade,Dayi Bian et al.
Lian Zhang et al.
Autism Spectrum Disorder (ASD) is a highly prevalent neurodevelopmental disorder with enormous individual and social cost. In this paper, a novel virtual reality (VR)-based driving system was introduced to teach driving skills to adolescent...
Ying Yang,Catherine Fairbairn,Jeffrey F Cohn
Ying Yang
To investigate the relation between vocal prosody and change in depression severity over time, 57 participants from a clinical trial for treatment of depression were evaluated at seven-week intervals using a semi-structured clinical intervi...
Head Movement Dynamics During Play and Perturbed Mother-Infant Interaction [0.03%]
玩耍和干扰条件下母亲与婴儿互动中头部运动的动力学变化规律
Zakia Hammal,Jeffrey F Cohn,Daniel S Messinger
Zakia Hammal
We investigated the dynamics of head movement in mothers and infants during an age-appropriate, well-validated emotion induction, the Still Face paradigm. In this paradigm, mothers and infants play normally for 2 minutes (Play) followed by ...