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Related papers: Explainable XR: Understanding User Behaviors of XR…

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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.…

Human-Computer Interaction · Computer Science 2025-10-14 Jingyan Wang , Yang Zhao , Haotian Mao , Xubo Yang

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…

Cryptography and Security · Computer Science 2026-04-21 Jiangong Chen , Mingyu Zhu , Bin Li

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…

Human-Computer Interaction · Computer Science 2023-08-23 Pascal Knierim , Thomas Kosch

Explainable Artificial Intelligence (XAI) plays a critical role in fostering user trust and understanding in AI-driven systems. However, the design of effective XAI interfaces presents significant challenges, particularly for UX…

Human-Computer Interaction · Computer Science 2025-06-23 Mohammad Naiseh , Huseyin Dogan , Stephen Giff , Nan Jiang

Advances in artificial intelligence and human-computer interaction will likely lead to extended reality (XR) becoming pervasive. While XR can provide users with interactive, engaging, and immersive experiences, non-player characters are…

Human-Computer Interaction · Computer Science 2024-06-21 Efe Bozkir , Süleyman Özdel , Ka Hei Carrie Lau , Mengdi Wang , Hong Gao , Enkelejda Kasneci

The integration of Large Language Models (LLMs) like GPT-4 with Extended Reality (XR) technologies offers the potential to build truly immersive XR environments that interact with human users through natural language, e.g., generating and…

Multimedia · Computer Science 2025-03-21 Jiangong Chen , Xiaoyi Wu , Tian Lan , Bin Li

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…

Human-Computer Interaction · Computer Science 2025-12-18 Efe Bozkir , Enkelejda Kasneci

Artificial Intelligence (AI) has continued to achieve tremendous success in recent times. However, the decision logic of these frameworks is often not transparent, making it difficult for stakeholders to understand, interpret or explain…

Machine Learning · Computer Science 2025-01-20 Fuseini Mumuni , Alhassan Mumuni

In today's data-driven era, computational systems generate vast amounts of data that drive the digital transformation of industries, where Artificial Intelligence (AI) plays a key role. Currently, the demand for eXplainable AI (XAI) has…

Artificial Intelligence · Computer Science 2025-03-07 Georgios Makridis , Vasileios Koukos , Georgios Fatouros , Dimosthenis Kyriazis

Extended reality (XR) is touted as the next frontier of the digital future. XR includes all immersive technologies of augmented reality (AR), virtual reality (VR), and mixed reality (MR). XR applications obtain the real-world context of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-12 Jin Heo , Ketan Bhardwaj , Ada Gavrilovska

Explainable AI (XAI) refers to techniques that provide human-understandable insights into the workings of AI models. Recently, the focus of XAI is being extended toward explaining Large Language Models (LLMs). This extension calls for a…

Recommender systems help users navigate information overload by providing personalized recommendations aligned with their preferences. Collaborative Filtering (CF) is a widely adopted approach, but while advanced techniques like graph…

Information Retrieval · Computer Science 2024-09-24 Qiyao Ma , Xubin Ren , Chao Huang

To facilitate high quality interaction during the regular use of computing systems, it is essential that the user interface (UI) deliver content and components in an appropriate manner. Although extended reality (XR) is emerging as a new…

Human-Computer Interaction · Computer Science 2023-09-11 Kashyap Todi , Tanya R. Jonker

This scoping review examines the broad applications, risks, and ethical challenges associated with Extended Reality (XR) technologies, including Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), within the context of…

Human-Computer Interaction · Computer Science 2024-11-08 Panagiotis Kourtesis

The rapid development of Artificial Intelligence (AI) has revolutionized numerous fields, with large language models (LLMs) and computer vision (CV) systems driving advancements in natural language understanding and visual processing,…

Computation and Language · Computer Science 2024-12-04 Yunkai Dang , Kaichen Huang , Jiahao Huo , Yibo Yan , Sirui Huang , Dongrui Liu , Mengxi Gao , Jie Zhang , Chen Qian , Kun Wang , Yong Liu , Jing Shao , Hui Xiong , Xuming Hu

Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the role of XAI also becomes essential in AR because end-users will…

Extended reality (XR) is rapidly advancing, and poised to revolutionize content creation and consumption. In XR, users integrate various sensory inputs to form a cohesive perception of the virtual environment. This survey reviews the…

Multimedia · Computer Science 2025-06-13 Haopeng Wang , Haiwei Dong , Abdulmotaleb El Saddik

Applications of the Extended Reality (XR) spectrum, a superset of Mixed, Augmented and Virtual Reality, are gaining prominence and can be employed in a variety of areas, such as virtual museums. Examples can be found in the areas of…

Graphics · Computer Science 2021-01-12 Efstratios Geronikolakis , George Papagiannakis

Accurately modeling user preferences is vital not only for improving recommendation performance but also for enhancing transparency in recommender systems. Conventional user profiling methods, such as averaging item embeddings, often…

Information Retrieval · Computer Science 2025-05-05 Milad Sabouri , Masoud Mansoury , Kun Lin , Bamshad Mobasher

The growing complexity and information content of data, together with the need to understand both the complex structures, relationships, and phenomena present in these data spaces, compounded with the emerging need to understand the results…

Human-Computer Interaction · Computer Science 2026-03-09 Santiago Lombeyda , S. G. Djorgovski , Ciro Donalek
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