immersive environment
Leveraging LLMs for Semi-Automatic Corpus Filtration in Systematic Literature Reviews
Joos, Lucas, Keim, Daniel A., Fischer, Maximilian T.
The creation of systematic literature reviews (SLR) is critical for analyzing the landscape of a research field and guiding future research directions. However, retrieving and filtering the literature corpus for an SLR is highly time-consuming and requires extensive manual effort, as keyword-based searches in digital libraries often return numerous irrelevant publications. In this work, we propose a pipeline leveraging multiple large language models (LLMs), classifying papers based on descriptive prompts and deciding jointly using a consensus scheme. The entire process is human-supervised and interactively controlled via our open-source visual analytics web interface, LLMSurver, which enables real-time inspection and modification of model outputs. We evaluate our approach using ground-truth data from a recent SLR comprising over 8,000 candidate papers, benchmarking both open and commercial state-of-the-art LLMs from mid-2024 and fall 2025. Results demonstrate that our pipeline significantly reduces manual effort while achieving lower error rates than single human annotators. Furthermore, modern open-source models prove sufficient for this task, making the method accessible and cost-effective. Overall, our work demonstrates how responsible human-AI collaboration can accelerate and enhance systematic literature reviews within academic workflows.
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- Information Technology > Security & Privacy (0.46)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Performance Analysis > Accuracy (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
VRCopilot: Authoring 3D Layouts with Generative AI Models in VR
Zhang, Lei, Pan, Jin, Gettig, Jacob, Oney, Steve, Guo, Anhong
Immersive authoring provides an intuitive medium for users to create 3D scenes via direct manipulation in Virtual Reality (VR). Recent advances in generative AI have enabled the automatic creation of realistic 3D layouts. However, it is unclear how capabilities of generative AI can be used in immersive authoring to support fluid interactions, user agency, and creativity. We introduce VRCopilot, a mixed-initiative system that integrates pre-trained generative AI models into immersive authoring to facilitate human-AI co-creation in VR. VRCopilot presents multimodal interactions to support rapid prototyping and iterations with AI, and intermediate representations such as wireframes to augment user controllability over the created content. Through a series of user studies, we evaluated the potential and challenges in manual, scaffolded, and automatic creation in immersive authoring. We found that scaffolded creation using wireframes enhanced the user agency compared to automatic creation. We also found that manual creation via multimodal specification offers the highest sense of creativity and agency.
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- Research Report > Experimental Study (0.93)
- Information Technology > Human Computer Interaction > Interfaces > Virtual Reality (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Generation (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning > Generative AI (1.00)
Here are the most useful Apple Vision Pro apps at launch
Although there are some big-name omissions (Netflix, YouTube and Spotify), the headset already supports over a million compatible App Store apps, Apple's first-party offerings and over 600 apps developed specifically for the "spatial computing" device. Here are the notable third-party Vision Pro apps you can install on day one. Microsoft didn't skimp on its entry into the Vision Pro era. Seven of the company's Office apps are available to install on launch day. These include Microsoft Teams, Word, Excel, PowerPoint, Outlook, OneNote and Loop.
Immersive Tech Obscures Reality. AI Will Threaten It
Last week, Amazon announced it was integrating AI into a number of products--including smart glasses, smart home systems, and its voice assistant, Alexa--that help users navigate the world. This week, Meta will unveil its latest AI and extended reality (XR) features, and next week Google will reveal its next line of Pixel phones equipped with Google AI. If you thought AI was already "revolutionary," just wait until it's part of the increasingly immersive responsive, personal devices that power our lives. AI is already hastening technology's trend toward greater immersion, blurring the boundaries between the physical and digital worlds and allowing users to easily create their own content. When combined with technologies like augmented or virtual reality, it will open up a world of creative possibilities, but also raise new issues related to privacy, manipulation, and safety.
Most people would sacrifice one person to save a group
You may think of psychopathy as an antisocial behaviour, but a new study suggests that people with these traits may actually be good for society. Researchers have found that while most people struggle to make moral decisions, psychopaths are more cut-throat about making pragmatic choices for the greater good. The findings show that, in certain circumstances, psychopathic traits could be considered beneficial. The researchers compared a questionnaire with actions in immersive moral dilemmas created using a robotic device that measures force, resistance, and speed, whilst simulating the action of harming a human. In several dilemmas, participants had to decide whether to sacrifice a person by performing a harmful action against them, in order to save a larger group of people.
Storytelling and Code: Developing for the Amazon Echo
At this spring's Hack Upstate event my team build an Amazon Alexa skill. I came up with the idea of creating a murder mystery game that involved interaction with Alexa because I saw it as an opportunity to force a collision between the world I am immersed in (writing and content creation) and the world I am moving towards (programming and data analysis). I've been considering how these two spheres of knowledge interact for quite some time. My education in writing was earned through years of participation in groups, through classes and through degrees, whereas my education in programming has been primarily self-taught, ad hoc and in general, isolated, with only brief forays into makeshift classrooms. I've learned that these are two very different styles of thinking, very different processes and at times, contrast rather sharply.
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