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From Prompt to Service: An SLM-Based Agent Orchestration Gateway for AI-Driven Virtual Worlds What LLMs Must Forget to Teach Effectively: A DIY Approach to Premodern Japanese Language Pedagogy Quantitative Movement Testing: Measuring Patient Movements from a Single Smartphone Video Vision-Language Models Suppress Female Representations Under Ambiguous Input The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace TUX: Measuring Human--AI Tacit Understanding LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality Analyzing Persona Effects in Generated Explanations from Multimodal LLM Agents in Urban Perception First head-to-head comparison of agentic AI applied to the analysis of simulated data of the Einstein Telescope Granuscore: A Reference-Free Measure of Granularity for Text Analysis and Question Answering The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams Bayesian Distributional Models of Executive Functioning Visual Matters: Connecting Aesthetic Appeal and Production Quality of Photos, Infographics and Data Visualizations to Credibility of Social Media Posts Data-driven Head Motion Generation through Natural Gaze-Head Coordination Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why Perceptually Lossless Tactile Texture Synthesis with Compact Spectral Envelope Models MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data CogAdapt: Transferring Clinical ECG Foundation Models to Wearable Cognitive Load Assessment via Lead Adaptation Augmented Analytics and Decision Quality: The Role of Trust among Non-Technical BI Users Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build PaintCopilot: Modeling Painting as Autonomous Artistic Continuation Personality Engineering with AI Agents: A New Methodology for Negotiation Research PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
'Being there together for health': A Systematic Review on...
2024-12-06 · via cs.HC updates on arXiv.org

Effectively using immersive multi-user environments for digital applications (via virtual, augmented and mixed reality technologies) beckons the future of healthcare delivery in the metaverse. We aimed to evaluate the feasibility and effectiveness of these environments used in health applications, while identifying their design features. We systematically searched MEDLINE, PsycINFO, and Emcare databases for peer-reviewed original reports, published in English, without date restrictions until Aug 30, 2023, and conducted manual citation searching in Feb 2024. All studies using fully immersive extended reality technologies (e.g., head-mounted displays, smart glasses) while engaging more than one participant in an intervention with direct health benefits were included. A qualitative synthesis of findings is reported. The quality of research was assessed using JBI Critical Checklists. The review was pre-registered on PROSPERO (CRD42023479155). Of 2862 identified records, 10 studies were eligible. Included studies were mostly conducted with healthy young adults (five studies) and older adults (four studies). While they all used different models of Oculus/Meta headsets, their environments' designs were distinctive and aligned with their objectives. Findings indicated varying degrees of positive health outcomes, for engagement in rehabilitation, meaningful interactions across distances, positive affect, transformative experiences, mental health therapies, and motor skill learning. Participants reported high usability, motivation, enjoyment, presence and copresence. They also expressed the need for more training time with technology. Adopting an intentional intervention design, considering factors affecting presence and copresence, as well as integrating co-creation of the program with participants, seems integral to achieving positive health outcomes.