This research report introduces a learning system designed to detect the object that humans are gazing at, using solely visual feedback. By incorporating face detection, human attention prediction, and online object detection, the system enables the robot to perceive and interpret human gaze accurately, thereby facilitating the establishment of joint attention with human partners. Additionally, a novel dataset collected with the humanoid robot iCub is introduced, comprising more than 22,000 images from ten participants gazing at different annotated objects.
View Article and Find Full Text PDFAlexithymia, a predictor in chronic illnesses, like cardiovascular and bipolar disorder (CD-BD), could be improved with a virtual reality (VR) cognitive remediation program. This secondary analysis of a previous randomized controlled trial (RCT) evaluates alexithymia improvement and its factors in an experimental group versus a control group, exploring extensions to individuals with comorbid non-psychiatric chronic conditions. A feasibility cross-over RCT (ClinicalTrials.
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