Computer-Human Interaction Research and Applications
Description
The three volume set CCIS 2834-2836 constitutes the proceedings of the 9th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2025, held Marbella, Spain, during October 2025.
The 21 full papers and 64 short papers presented in the proceedings were carefully reviewed and selected from 106 submissions. These papers focus on the research advancements and practical applications within various areas in the field of Computer-Human Interaction, including Human Factors and Information Systems, Interactive Devices, Interaction Design and Adaptive and Intelligent Systems.
The papers were organized in topical sections as follows:
Part I: Human Factors for Interactive Systems, Research, and Applications;
Part II: Interactive Devices; Adaptive and Intelligent Systems;
Part III: Interaction Design.
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Content
.- Interactive Devices
.- Why the Long Face? The Influence of Robot Screen Proportions and Orientation on Human Perception and Interaction.
.- Implicit and Explicit Attitudes Towards Virtual Agents in Education: An Experimental Study.
.- An Integrated Framework for Evaluating e-Service Quality, Usability and User Experience of Web-Based Applications: A Qualitative Expert Review.
.- From Case Files to Virtual Reality: An Artificial Intelligence-Based 3D Apartment Generation Tool.
.- Extreme Reality Training with Complex Gestures.
.- Improving Communication in the Metaverse Using 3-Dimensional Space for LLM and Autocomplete Integration.
.- Improving Human-Robot Communication in Noisy Environments with Visual Voice Activity Detection.
.- Virtual Reality for Surface Topography Analysis.
.- Extreme Reality Helmet in Simulated Smoke Test.
.- The Role of AI and LLMs in Controlling Human Attached Devices.
.- Facial Gesture Detection for Individuals with Reduced Hand Mobility Using Graph Neural Networks.
.- Adaptive and Intelligent Systems
.- Roadwatch: An Integrated Architecture for AI-Powered Surveillance and Anomaly Detection in Traffic Areas.
.- Forecasting Surprises in Machine-Learning-Driven Interaction Systems: Lessons from the Transformer Breakthrough.
.- NordDRG AI Benchmark for Large Language Models.
.- MeteoChat: A Fine-Tuned and RAG-Based LLM for Semi-Automatic Report Building in Environmental Monitoring.
.- From Asking to Understanding: A Human-Centered Approach for Human-AI Interaction.
.- Media Bias in The Guardian: Sentiment and Semantics in Israeli-Palestinian Coverage.
.- Thematic and Task-Based Categorization of K-12 GenAI Usages with Hierarchical Topic Modeling.
.- Immersive Training of Artillery Observers with Integrated Artificial Intelligence.
.- Towards Defining an Intelligent System to Enhance Dentistry Experience for Children with Autism Spectrum Disorder.
.- Mitigating Authentication Risks Through AI-Coaching: An Adaptive Dynamical System Analysis.
.- Early Detection of ASD Risk in Children Through a Web Application with Random Forest.
.- Multi-Stakeholder Alignment in LLM-Powered Collaborative AI Systems: A Multi-Agent Framework for Intelligent Tutoring.
.- A New Visualization Technique for Teaching and Learning Recursion.
.- Enhancing DDoS Mitigation Through AI Coaching: A Network Oriented Computational Analysis of Adaptive Human-AI Defense Dynamics.
.- Keywords Are not Always the Key: A Metadata Field Analysis for Natural Language Search on Open Data Portals.
.- Adaptive AI Coaching for Cybersecurity: Analysis of Resilience Against Phishing and Deepfakes.
