Conformal Depression Prediction

Research on Depression Prediction Method Based on Conformal Prediction Background Introduction Depression is a common mental disorder characterized by persistent sadness, debilitation, and loss of interest in activities. It not only increases the risk of suicide but also imposes a significant psychological burden on patients and their families. Cur...

Assessment of Distraction and the Impact on Technology Acceptance of Robot Monitoring Behaviour in Older Adults Care

The Impact of Robot Monitoring Behavior on Distraction and Technology Acceptance in Older Adults Academic Background With the intensification of societal aging, the demand for elderly care is increasing. Especially during the COVID-19 pandemic, psychological and physiological health issues faced by older adults due to social isolation have become m...

Functional Connectivity Analysis of Children with Autism Under Emotional Clips

Functional Connectivity Analysis of Children with Autism under Emotional Stimulation Background Introduction Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder, primarily characterized by deficits in social interaction and communication abilities, as well as repetitive behaviors and restricted interests. One of the core feature...

Theory of Mind Abilities Predict Robot’s Gaze Effects on Object Preference

Academic Background In human social interactions, gaze is one of the most important ways to convey information. Research has shown that human gaze can influence others’ attention, cognition, and even preferences. For example, when a person looks at an object, the observer tends to believe that the object is attractive to the gazer, which in turn in...

Multi-scale Hyperbolic Contrastive Learning for Cross-subject EEG Emotion Recognition

Cross-Subject EEG Emotion Recognition Research Based on Multi-Scale Hyperbolic Contrastive Learning Academic Background Electroencephalography (EEG), as a physiological signal, plays an important role in the field of affective computing. Compared with traditional non-physiological cues (such as facial expressions or voice), EEG signals have higher ...