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
Decision-making pathways of voluntary sexual partner disclosure among newly diagnosed people living with HIV: a qualitative study informed by the health belief model. [PDF]
Front Public HealthLuo Y, Yu Q.
europepmc +1 more source
The privacy triad: Understanding the influence of perceived social agency on privacy attitudes
International Journal of Human-Computer StudiesMaxwell Keleher +2 more
openaire +1 more source
Data Perceived Security, Perceived Privacy, E-Trust, Decision Making
Data Perception of Perceived Security, Perceived Privacy, E-Trust and Decision Making. Data from consumer of mobile banking user in Bandung - Indonesia.
openaire +2 more sources
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
"In ChatGPT-Powered Virtual Influencers We (Dis)Trust?": The Privacy Paradox and the Double-Edged Sword of Ubiquitous Large Language Model (LLM) Generative AI as a General Purpose Technology (GPT) in a Human-Centered AI Ecosystem. [PDF]
Behav Sci (Basel)Jin SV.
europepmc +1 more source
Advanced Robotics Research, EarlyView.Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
Segmenting Older Adults by Their Acceptance of Digital Health Care Devices: Cross-Sectional Study Using the Augmented Technology Acceptance Model and K-Means Clustering. [PDF]
JMIR Form ResKoo T, Jo IH, Pyun DY, Yoo J.
europepmc +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source