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cs.HC updates on arXiv.org

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 Conversations in Space: Structuring Non-Linear LLM Interactions on a Canvas MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis nASR: An End-to-End Trainable Neural Layer for Channel-Level EEG Artifact Subspace Reconstruction in Real-Time BCI
Revival of the Silk Road using the applications of AR/VR ...
Sahar Zandi · 2023-04-13 · via cs.HC updates on arXiv.org

This research project seeks to investigate the incorporation of augmented reality (AR) and virtual reality (VR) technology with human-computer interaction (HCI) in order to revitalize the Silk Road - specifically in Kermanshah, Iran - and its effect on cultural tourism. Kermanshah has underexplored the rich historical significance of the Silk Road, despite the presence of 24 UNESCO World Heritage sites. From the 2nd century BCE to the 18th century CE, the Silk Road was a vital trade route connecting the West and the East and had enormous cultural, economic, religious, and political effects. The purpose of this study is to examine the application of AR/VR technologies in HCI for the preservation, interpretation, and promotion of the Silk Road's tangible and intangible cultural heritage in Kermanshah, as well as their impact on cultural tourism development. The study also investigates how these innovative technologies can enhance visitors' experiences through immersive and interactive approaches, promote sustainable tourism practices, and contribute to the region's broader socioeconomic benefits. The research will analyze the challenges and opportunities of implementing AR/VR technology in HCI within the context of cultural heritage and tourism in Kermanshah and the Silk Road region more broadly. By combining HCI, AR/VR, and cultural tourism, this research seeks to provide valuable insights into the development of user-centered, immersive experiences that promote a deeper understanding and appreciation of the Silk Road's distinctive cultural heritage.