Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …

Objective This meta‐review summarizes and synthesizes the most reliable findings
regarding attentional bias in eating disorders across paradigms and stimulus types and …

Human gaze estimation plays a major role in many applications in human–computer
interaction and computer vision by identifying the users' point-of-interest. Revolutionary …

Recent advances of deep learning-based approaches have achieved remarkable
performance on appearance-based gaze estimation. However, due to the shortage of target …

Short-form videos are popular worldwide as a thriving form of entertainment. Its
fragmentation pattern, which presents users with intensive and engaging information, might …

In vivo body exposure therapy is considered an effective and suitable intervention to help
patients with anorexia nervosa (AN) reduce their body image disturbances (BIDs). However …

Instagram is the fastest growing social network and has an audience that shares lifestyles
related to their interest in beauty and fashion. However, the exposure of adolescents to …

Objective The current systematic and methodological review aimed to critically review
existing literature utilizing implicit processing, or automatic approach‐and/or avoidance …

Food-related impulsivity, ie a food-related attentional bias proposed to be due to increased
reward sensitivity and diminished inhibitory control, has been cross-sectionally associated …

In the field of psychology, the merge of decision-theory and neuroscientific methods
produces an array of scientifically recognized paradigms. For example, by exploring …