Results 21 to 30 of about 958,322 (196)
Gambling and social gambling: an exploratory study of young people's perceptions and behavior [PDF]
, 2015 Background and aims: Gambling-type games that do not involve the spending of money (e.g., social and (demo) [demonstration] gambling games, gambling-like activities within video games) have been accused in both the legal and psychological literature of ...
Griffiths, MD +3 more
core
Artificial Intelligence Meets Micro/Nanorobotics
Advanced Materials, EarlyView.Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
Gambling Behaviour Quarterly Telephone Survey, 2017
, 2023 copyright UK Data Service and data collection copyright owner.The Gambling Behaviour Quarterly Telephone Survey produces overall official statistics estimates of gambling participation, prevalence of problem gambling and perceptions of gambling based on ...
Gambling Commission
core +2 more sources
Convergence of gambling and gaming: implications [PDF]
, 2008 Gaming and gambling are beginning to converge, as illustrated by the emergence of computer games where players are paid to kill other players or survive as long as possible. Professor Mark Griffiths of the International Gaming Research Unit at Nottingham
Griffiths, MD
core
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Advanced Robotics Research, EarlyView.This article presents dielectric elastomer switch (DES) materials, based on composite thin films. Alignment of graphite flakes due to their physical confinement within the thin films lead to much stronger piezoresistive responses than bulk composites, while their durability exceeds that of conventional liquid‐based DES materials.
Lingyu Liu +3 more
wiley +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
Advanced Robotics Research, EarlyView.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
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.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
The Victorian gambling study: a longitudinal study of gambling and health in Victoria, 2008–2012 [PDF]
, 2014 The Victorian gambling study is a longitudinal study of gambling and health in Victoria conducted between 2008 and 2012. This study is the only large-scale, general population, longitudinal gambling study conducted in Australia.
Christine Stone, Rosa Billi, Paul Marden
core
Advanced Robotics Research, EarlyView.DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source