Transformations Of Personality Structures In Students With Computer Game Addiction
openaire +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Experiences of internet addiction among junior college students in Taiwan: a qualitative descriptive phenomenological study. [PDF]
Huang IL, Li JB, Chung MH.
europepmc +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Perceived Stress, Loneliness, and Resilience in Relation to Game Addiction Among Adolescents in Bangkok During the COVID-19 Pandemic Transition Period. [PDF]
Attasara P, Thaweekoon T, Napa W.
europepmc +1 more source
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
ADHD and gaming addiction in adolescents: psychosocial mediators in the adolescent brain cognitive development study. [PDF]
Lopez DA +3 more
europepmc +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Treating Behavioral Addictions With Augmented Reality and Virtual Reality: Scoping Review. [PDF]
Chiew FXR, Li GH, Tseung V, Shi J.
europepmc +1 more source

