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相关论文: Embedding Large Language Models into Extended Real…

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Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation, and their integration with Extended Reality (XR) is poised to transform how users interact with immersive environments.…

人机交互 · 计算机科学 2025-10-14 Jingyan Wang , Yang Zhao , Haotian Mao , Xubo Yang

The rapid development of generative artificial intelligence (AI) and large language models (LLMs), and the availability of services that make them accessible, have led the general public to begin incorporating them into everyday life. The…

人机交互 · 计算机科学 2025-12-18 Efe Bozkir , Enkelejda Kasneci

The integration of Large Language Models (LLMs) into Virtual Reality (VR) games marks a paradigm shift in the design of immersive, adaptive, and intelligent digital experiences. This paper presents a comprehensive review of recent research…

人机交互 · 计算机科学 2025-11-24 Süeda Özkaya , Santiago Berrezueta-Guzman , Stefan Wagner

Multimodal Large Language Models (MLLMs) enhance collaboration in Extended Reality (XR) environments by enabling flexible object and animation creation through the combination of natural language and visual inputs. However, visual data…

密码学与安全 · 计算机科学 2026-04-21 Jiangong Chen , Mingyu Zhu , Bin Li

Mixed Reality (MR) and Artificial Intelligence (AI) are increasingly becoming integral parts of our daily lives. Their applications range in fields from healthcare to education to entertainment. MR has opened a new frontier for such fields…

人机交互 · 计算机科学 2024-02-14 Ramez Yousri , Zeyad Essam , Yehia Kareem , Youstina Sherief , Sherry Gamil , Soha Safwat

The integration of large language models (LLMs) into virtual reality (VR) environments has opened new pathways for creating more immersive and interactive digital humans. By leveraging the generative capabilities of LLMs alongside…

Recent developments in computer graphics, machine learning, and sensor technologies enable numerous opportunities for extended reality (XR) setups for everyday life, from skills training to entertainment. With large corporations offering…

Virtual Reality (VR) systems collect fine-grained behavioral and biometric data, yet privacy policies are rarely read or understood due to their complex language, length, and poor integration into users' interaction workflows. To lower the…

人机交互 · 计算机科学 2026-03-03 Vincent Freiberger , Moritz Dresch , Florian Alt , Arthur Fleig , Viktorija Paneva

Extended reality (XR) applications increasingly integrate Large Language Models (LLMs) to enhance user experience, scene understanding, and even generate executable XR content, and are often called "AI glasses". Despite these potential…

密码学与安全 · 计算机科学 2025-09-30 Yicheng Zhang , Zijian Huang , Sophie Chen , Erfan Shayegani , Jiasi Chen , Nael Abu-Ghazaleh

Extended reality (XR) devices have become ubiquitous. They are equipped with arrays of sensors, collecting extensive user and environmental data, allowing inferences about sensitive user information users may not realize they are sharing.…

Extended Reality (XR) technology is changing online interactions, but its granular data collection sensors may be more invasive to user privacy than web, mobile, and the Internet of Things technologies. Despite an increased interest in…

人机交互 · 计算机科学 2025-03-28 Hilda Hadan , Derrick M. Wang , Lennart E. Nacke , Leah Zhang-Kennedy

Extended Reality (XR) is a rapidly growing field offering unique immersive experiences, social networking, learning, and collaboration opportunities. The continuous advancements in XR technology and industry efforts are gradually moving…

人机交互 · 计算机科学 2023-08-23 Pascal Knierim , Thomas Kosch

The rapid advancement of large language models (LLMs) has revolutionized natural language processing, enabling applications in diverse domains such as healthcare, finance and education. However, the growing reliance on extensive data for…

密码学与安全 · 计算机科学 2024-12-10 Guoshenghui Zhao , Eric Song

Large Language Models (LLMs) are becoming ubiquitous to create intelligent virtual assistants that assist users in interacting with a system, as exemplified in marketing. Although LLMs have been discussed in Modeling & Simulation (M&S), the…

人机交互 · 计算机科学 2024-09-25 Philippe J. Giabbanelli , Jose J. Padilla , Ameeta Agrawal

In the domain of Extended Reality (XR), particularly Virtual Reality (VR), extensive research has been devoted to harnessing this transformative technology in various real-world applications. However, a critical challenge that must be…

密码学与安全 · 计算机科学 2024-11-19 Ayush Agarwal , Raghavendra Ramachandra , Sushma Venkatesh , S. R. Mahadeva Prasanna

We present Large Language Model for Mixed Reality (LLMR), a framework for the real-time creation and modification of interactive Mixed Reality experiences using LLMs. LLMR leverages novel strategies to tackle difficult cases where ideal…

Large Language Models (LLMs) have achieved remarkable progress in natural language understanding, reasoning, and autonomous decision-making. However, these advancements have also come with significant privacy concerns. While significant…

密码学与安全 · 计算机科学 2026-01-27 Yuntao Du , Zitao Li , Ninghui Li , Bolin Ding

Extended Reality (XR), encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), is revolutionizing education by creating immersive, interactive learning environments. This article explores the potential of XR to…

计算机与社会 · 计算机科学 2026-03-02 Shadeeb Hossain

The emergence of large language models (LLM) and, consequently, vision language models (VLM) has ignited new imaginations among robotics researchers. At this point, the range of applications to which LLM and VLM can be applied in…

机器人学 · 计算机科学 2024-11-28 Jesse Atuhurra

The advancement of large language models (LLMs) has significantly enhanced the ability to effectively tackle various downstream NLP tasks and unify these tasks into generative pipelines. On the one hand, powerful language models, trained on…

计算与语言 · 计算机科学 2024-10-01 Haoran Li , Yulin Chen , Jinglong Luo , Jiecong Wang , Hao Peng , Yan Kang , Xiaojin Zhang , Qi Hu , Chunkit Chan , Zenglin Xu , Bryan Hooi , Yangqiu Song
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