Tootfinder

LA-based Lingokids, an interactive learning app for kids aged 2-8, raised $120M led by Bullhound Capital and General Catalyst to help expand its IP partnerships (Dean Takahashi/GamesBeat)
https://gamesbeat.com/lingokids-raises-120m-for-interactive-learning-…

Lingokids raises $120M for interactive learning app for kids
Lingokids, the top interactive app for kids ages two to eight with more than 185 million families worldwide, has raised $120 million.

🏁 Interactive WebGL Backgrounds: A Quick Guide to Bayer Dithering
https://tympanus.net/codrops/2025/07/30/interactive-webgl-backgrounds-a-quick-guide-to-bayer-dithering/

Interactive WebGL Backgrounds: A Quick Guide to Bayer Dithering | Codrops
Discover how to create a subtle, interactive WebGL background with Bayer dithering in this quick tutorial.

Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model
Xianglong He, Chunli Peng, Zexiang Liu, Boyang Wang, Yifan Zhang, Qi Cui, Fei Kang, Biao Jiang, Mengyin An, Yangyang Ren, Baixin Xu, Hao-Xiang Guo, Kaixiong Gong, Cyrus Wu, Wei Li, Xuchen Song, Yang Liu, Eric Li, Yahui Zhou
https://arxiv.org/abs/2508.13009

Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model
Recent advances in interactive video generations have demonstrated diffusion model's potential as world models by capturing complex physical dynamics and interactive behaviors. However, existing interactive world models depend on bidirectional attention and lengthy inference steps, severely limiting real-time performance. Consequently, they are hard to simulate real-world dynamics, where outcomes must update instantaneously based on historical context and current actions. To address this, we pr…

A map of areas at risk of losing public radio and TV access due to CPB cuts and a chart of the average share of station funding from federal sources by state (New York Times)
https://www.nytimes.com/interactive/2025/07/18/business/media/house-…

Where Congress’s Cuts Threaten Access to PBS and NPR
The loss of federal funding threatens scores of public TV and radio stations across the United States.

An Age-based Study into Interactive Narrative Visualization Engagement
Nina Errey, Yi Chen, Yu Dong, Quang Vinh Nguyen, Xiaoru Yuan, Tuck Wah Leong, Christy Jie Liang
https://arxiv.org/abs/2507.12734

An Age-based Study into Interactive Narrative Visualization Engagement
Research has shown that an audiences' age impacts their engagement in digital media. Interactive narrative visualization is an increasingly popular form of digital media that combines data visualization and storytelling to convey important information. However, audience age is often overlooked by interactive narrative visualization authors. Using an established visualization engagement questionnaire, we ran an empirical experiment where we compared end-user engagement to audience age. We found …

Enhancing Interactive Voting-Based Map Matching: Improving Efficiency and Robustness for Heterogeneous GPS Trajectories
William Alemanni, Arianna Burzacchi, Davide Colombi, Elena Giarratano
https://arxiv.org/abs/2508.11235

Enhancing Interactive Voting-Based Map Matching: Improving Efficiency and Robustness for Heterogeneous GPS Trajectories
This paper presents an enhanced version of the Interactive Voting-Based Map Matching algorithm, designed to efficiently process trajectories with varying sampling rates. The main aim is to reconstruct GPS trajectories with high accuracy, independent of input data quality. Building upon the original algorithm, developed exclusively for aligning GPS signals to road networks, we extend its capabilities by integrating trajectory imputation. Our improvements also include the implementation of a dist…

Overcoming Knowledge Discrepancies: Structuring Reasoning Threads through Knowledge Balancing in Interactive Scenarios
Daniel Burkhardt, Xiangwei Cheng
https://arxiv.org/abs/2508.12100

Overcoming Knowledge Discrepancies: Structuring Reasoning Threads through Knowledge Balancing in Interactive Scenarios
Reasoning in interactive problem solving scenarios requires models to construct reasoning threads that reflect user understanding and align with structured domain knowledge. However, current reasoning models often lack explicit semantic hierarchies, user-domain knowledge alignment, and principled mechanisms to prune reasoning threads for effectiveness. These limitations result in lengthy generic output that does not guide users through goal-oriented reasoning steps. To address this, we propose …

AgentMental: An Interactive Multi-Agent Framework for Explainable and Adaptive Mental Health Assessment
Jinpeng Hu, Ao Wang, Qianqian Xie, Hui Ma, Zhuo Li, Dan Guo
https://arxiv.org/abs/2508.11567

AgentMental: An Interactive Multi-Agent Framework for Explainable and Adaptive Mental Health Assessment
Mental health assessment is crucial for early intervention and effective treatment, yet traditional clinician-based approaches are limited by the shortage of qualified professionals. Recent advances in artificial intelligence have sparked growing interest in automated psychological assessment, yet most existing approaches are constrained by their reliance on static text analysis, limiting their ability to capture deeper and more informative insights that emerge through dynamic interaction and i…

Coming soon (likely this afternoon, I’m writing tests and docs and updating examples as we speak)…
This is the sort of thing you’ll be able to do with Markdown pages. Just pop any arbitrary JavaScript you want in the new script block in the front matter and then import and use components as well as plain old JavaScript tagged template variable interpolation (not shown in this example) inside your Markdown.
The screen has all the code (sans the end of the last line of CSS and the…

SHaRe-RL: Structured, Interactive Reinforcement Learning for Contact-Rich Industrial Assembly Tasks
Jannick Strangh\"oner, Philipp Hartmann, Marco Braun, Sebastian Wrede, Klaus Neumann
https://arxiv.org/abs/2509.13949

SHaRe-RL: Structured, Interactive Reinforcement Learning for Contact-Rich Industrial Assembly Tasks
High-mix low-volume (HMLV) industrial assembly, common in small and medium-sized enterprises (SMEs), requires the same precision, safety, and reliability as high-volume automation while remaining flexible to product variation and environmental uncertainty. Current robotic systems struggle to meet these demands. Manual programming is brittle and costly to adapt, while learning-based methods suffer from poor sample efficiency and unsafe exploration in contact-rich tasks. To address this, we prese…

Analysis: nearly 70 Trump administration officials and nominees held crypto or investments in blockchain or digital-asset firms at the time of their selection (Washington Post)
https://www.washingtonpost.com/politics/interactive/2025/…

1 in 5 top Trump picks held crypto, some worth millions, Post finds
Over 1 in 5 top Trump appointees reported investments in crypto and other digital assets, far more than previous administrations, a Post analysis found.

LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology
Renan Souza, Timothy Poteet, Brian Etz, Daniel Rosendo, Amal Gueroudji, Woong Shin, Prasanna Balaprakash, Rafael Ferreira da Silva
https://arxiv.org/abs/2509.13978

LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology
Modern scientific discovery increasingly relies on workflows that process data across the Edge, Cloud, and High Performance Computing (HPC) continuum. Comprehensive and in-depth analyses of these data are critical for hypothesis validation, anomaly detection, reproducibility, and impactful findings. Although workflow provenance techniques support such analyses, at large scale, the provenance data become complex and difficult to analyze. Existing systems depend on custom scripts, structured quer…

fstrings.wtf
How good is your knowledge of Python f-strings?
:python: #python #fstrings

fstrings.wtf - Python F-String Quiz
Test your knowledge of Python's f-string formatting with this interactive quiz. How well do you know Python's string formatting quirks?

Stories and Systems: Educational Interactive Storytelling to Teach Media Literacy and Systemic Thinking
Christian Roth, Rahmin Bender-Salazar, Breanne Pitt
https://arxiv.org/abs/2508.11059

Stories and Systems: Educational Interactive Storytelling to Teach Media Literacy and Systemic Thinking
This paper explores how Interactive Digital Narratives (IDNs) can support learners in developing the critical literacies needed to address complex societal challenges, so-called wicked problems, such as climate change, pandemics, and social inequality. While digital technologies offer broad access to narratives and data, they also contribute to misinformation and the oversimplification of interconnected issues. IDNs enable learners to navigate nonlinear, interactive stories, fostering deeper un…

IGFuse: Interactive 3D Gaussian Scene Reconstruction via Multi-Scans Fusion
Wenhao Hu, Zesheng Li, Haonan Zhou, Liu Liu, Xuexiang Wen, Zhizhong Su, Xi Li, Gaoang Wang
https://arxiv.org/abs/2508.13153

IGFuse: Interactive 3D Gaussian Scene Reconstruction via Multi-Scans Fusion
Reconstructing complete and interactive 3D scenes remains a fundamental challenge in computer vision and robotics, particularly due to persistent object occlusions and limited sensor coverage. Multiview observations from a single scene scan often fail to capture the full structural details. Existing approaches typically rely on multi stage pipelines, such as segmentation, background completion, and inpainting or require per-object dense scanning, both of which are error-prone, and not easily sc…

Generative AI Pipeline for Interactive Prompt-driven 2D-to-3D Vascular Reconstruction for Fontan Geometries from Contrast-Enhanced X-Ray Fluoroscopy Imaging
Prahlad G Menon
https://arxiv.org/abs/2509.13372

Generative AI Pipeline for Interactive Prompt-driven 2D-to-3D Vascular Reconstruction for Fontan Geometries from Contrast-Enhanced X-Ray Fluoroscopy Imaging
Fontan palliation for univentricular congenital heart disease progresses to hemodynamic failure with complex flow patterns poorly characterized by conventional 2D imaging. Current assessment relies on fluoroscopic angiography, providing limited 3D geometric information essential for computational fluid dynamics (CFD) analysis and surgical planning. A multi-step AI pipeline was developed utilizing Google's Gemini 2.5 Flash (2.5B parameters) for systematic, iterative processing of fluoroscopic …

Been working on n-dimensional sampling/filtering functions for https://thi.ng/tensors and created an interactive Desmos graph to illustrate 1D Lanczos filtering/interpolation:
http…

1D/2D/3D/4D tensors with extensible polymorphic operations and customizable storage

Need to talk to your students about AI ethics this fall? I've uploaded a course module for the AI IMPACT RISK framework, with interactive website, video, infographics, and quiz, that you can import into your own courseware
This imscc file can be imported directly into Canvas/Brightspace/Blackboard, or you can cherrypick resources directly from the IMPACT RISK website. Also new: SVG versions of all graphics

Clean energy and renewables are not "left" or "woke", they are the best economic choice for the future. While the US denies that, EU is struggling, China charges ahead.
https://www.nytimes.com/intera…

How China Went From Clean Energy Copycat to Global Innovator
A surge in high quality research and patent applications has cemented China’s dominance in the industry.

Interactive framework for techno-economic meta-analysis of marine hydrogen transportation
Lucas Hanssens, Maarten Houlleberghs, Karel Van Acker, Johan A. Martensand Eric Breynaert
https://arxiv.org/abs/2508.10923

Interactive framework for techno-economic meta-analysis of marine hydrogen transportation
As a result of the wide span of uncertainties and input variables considered in recent peer-reviewed studies on hydrogen supply chains, consensus and generalized insight are hard to derive. This work presents a meta-analysis model, building upon a growing database of literature cost estimations and enabling dynamic investigation and comparison of hydrogen transportation chains under varying input scenarios. Also built into the framework is the evaluation of the impact of costing methodology and…

Factcheck: Trump’s climate report includes more than 100 false or misleading claims.
Look for the orange bar which hides a drop-down menu to navigate this extensive critique by actual climate experts (unlike the 'PhDs' who prepared the Trump regime's report).
https://interactive.carbonbrief.…

Factcheck: Trump’s climate report includes more than 100 false or misleading claims

‘I’m proud to have made this stand’: over-60s arrested at Palestine Action ban protest explain their decision https://www.theguardian.com/world/ng-inter

Interactive art installation of vintage-inspired telephones in Edmonton nominated for global award
"The "Play it by Ear" art installation is in Edmonton's Butler Memorial Park. Each pair of telephones is connected by looping landlines. Park visitors can pick up any telephone, and a matching phone will ring elsewhere in the park."

Interactive art installation of vintage-inspired telephones in Edmonton nominated for global award
The installation has 13 telephones throughout a city park linked together through an intercom system, creating space for viewers to form connections

On QoE-Aware Traffic Management for Real-time, Interactive Video with Time-variant Spatial Complexity
Szilveszter N\'adas, Lars Ernstr\"om, David Lindero, Jonathan Lynam
https://arxiv.org/abs/2507.11798

On QoE-Aware Traffic Management for Real-time, Interactive Video with Time-variant Spatial Complexity
We analyzed spatial complexity, defined as the relationship between the required bitrate and a corresponding picture Quality of Experience (QoE) metric, for realistic, long, real-time, interactive video clips. Apart from variation across different content types, e.g., game genres, we discovered time-variability within a clip from second to second, and explored the ramifications for traffic management. We introduced utility as an elegant way to manage resource sharing preferences. Our analysis o…

RoboRetriever: Single-Camera Robot Object Retrieval via Active and Interactive Perception with Dynamic Scene Graph
Hecheng Wang, Jiankun Ren, Jia Yu, Lizhe Qi, Yunquan Sun
https://arxiv.org/abs/2508.12916

RoboRetriever: Single-Camera Robot Object Retrieval via Active and Interactive Perception with Dynamic Scene Graph
Humans effortlessly retrieve objects in cluttered, partially observable environments by combining visual reasoning, active viewpoint adjustment, and physical interaction-with only a single pair of eyes. In contrast, most existing robotic systems rely on carefully positioned fixed or multi-camera setups with complete scene visibility, which limits adaptability and incurs high hardware costs. We present \textbf{RoboRetriever}, a novel framework for real-world object retrieval that operates using …

SkyNET-scape Room: An Escape Room to Explore Astroparticle Physics
Elisa Prandini, Sabine Hemmer, Michele Branca, Luca Campagnoni, Gabriella Cataldi, Marco Circella, Jean-Pierre Jonckheere, Emanuele Leonora, Ilaria Viale, Giuseppe Silvestri
https://arxiv.org/abs/2509.14190

SkyNET-scape Room: An Escape Room to Explore Astroparticle Physics
Innovative science communication is key to engaging the public with complex topics such as astroparticle physics. As part of the Italian PRIN 2022 funding initiative, we are developing SkyNET-scape Room, an interactive escape room designed to introduce participants to the main messengers of the high-energy universe, namely cosmic rays, gamma rays, and neutrinos. The experience is structured into three interactive stations, each focusing on a specific messenger and its detection method. Small …

Adversarial Distilled Retrieval-Augmented Guarding Model for Online Malicious Intent Detection
Yihao Guo, Haocheng Bian, Liutong Zhou, Ze Wang, Zhaoyi Zhang, Francois Kawala, Milan Dean, Ian Fischer, Yuantao Peng, Noyan Tokgozoglu, Ivan Barrientos, Riyaaz Shaik, Rachel Li, Chandru Venkataraman, Reza Shifteh Far, Moses Pawar, Venkat Sundaranatha, Michael Xu, Frank Chu

Adversarial Distilled Retrieval-Augmented Guarding Model for Online Malicious Intent Detection
With the deployment of Large Language Models (LLMs) in interactive applications, online malicious intent detection has become increasingly critical. However, existing approaches fall short of handling diverse and complex user queries in real time. To address these challenges, we introduce ADRAG (Adversarial Distilled Retrieval-Augmented Guard), a two-stage framework for robust and efficient online malicious intent detection. In the training stage, a high-capacity teacher model is trained on adv…

A Regression Testing Framework with Automated Assertion Generation for Machine Learning Notebooks
Yingao Elaine Yao, Vedant Nimje, Varun Viswanath, Saikat Dutta
https://arxiv.org/abs/2509.13656

A Regression Testing Framework with Automated Assertion Generation for Machine Learning Notebooks
Notebooks have become the de-facto choice for data scientists and machine learning engineers for prototyping and experimenting with machine learning (ML) pipelines. Notebooks provide an interactive interface for code, data, and visualization. However, notebooks provide very limited support for testing. Thus, during continuous development, many subtle bugs that do not lead to crashes often go unnoticed and cause silent errors that manifest as performance regressions. To address this, we introd…

A fascinating story from back in July about one of the last #mahjong carvers in Hong Kong... https://www.cnn.com/interactive/2025/07/style/h…

Meet the last woman carving mahjong tiles by hand in Hong Kong
In a tiny roadside storefront, Ho Sau-mei has been carving mahjong tiles since she was 13 years old. Now in her 60s, she is the only female artisan left in Hong Kong as mass production replaces handmade craftsmanship.

Netflix says it's on track to double its advertising revenue this year and that it will roll out interactive ads in the second half of 2025 (Emma Roth/The Verge)
https://www.theverge.com/news/709288/netflix-q2-2025-earningsdouble-ad-revenue
…

Netflix says it’s streamed 95 billion hours in 2025, and a lot of ads too
Netflix says it’s on track to “double” revenue earned from advertising in 2025, according to its Q2 2025 earnings results.

A profile of Song-Chun Zhu, an AI scientist and NSF and Pentagon grantee, who left the US after 28 years to lead China's state-backed AI institute BIGAI in 2020 (Chang Che/The Guardian)
https://www.theguardian.com/news/n…

OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning
Xian Gao, Zongyun Zhang, Ting Liu, Yuzhuo Fu
https://arxiv.org/abs/2509.14803 http…

OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning
In online learning environments, students often lack personalized peer interactions, which play a crucial role in supporting cognitive development and learning engagement. Although previous studies have utilized large language models (LLMs) to simulate interactive dynamic learning environments for students, these interactions remain limited to conversational exchanges, lacking insights and adaptations to the learners' individualized learning and cognitive states. As a result, students' interest…

DiaryPlay: AI-Assisted Authoring of Interactive Vignettes for Everyday Storytelling
Jiangnan Xu, Haeseul Cha, Gosu Choi, Gyu-cheol Lee, Yeo-Jin Yoon, Zucheul Lee, Konstantinos Papangelis, Dae Hyun Kim, Juho Kim
https://arxiv.org/abs/2507.11628

DiaryPlay: AI-Assisted Authoring of Interactive Vignettes for Everyday Storytelling
An interactive vignette is a popular and immersive visual storytelling approach that invites viewers to role-play a character and influences the narrative in an interactive environment. However, it has not been widely used by everyday storytellers yet due to authoring complexity, which conflicts with the immediacy of everyday storytelling. We introduce DiaryPlay, an AI-assisted authoring system for interactive vignette creation in everyday storytelling. It takes a natural language story as inpu…

Today's the final step for our "Story Mappers" team's application to the Media Blend Hackathon in Bratislava next month: #StoryHack2025 by @….
Our idea is an interactive, multilingual, multilayered story map featuring pers…

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology
Souza, Poteet, Etz, Rosendo, Gueroudji, Shin, Balaprakash, da Silva

A Game-Theoretic Predictive Control Framework with Statistical Collision Avoidance Constraints for Autonomous Vehicle Overtaking
Sheng Yu, Boli Chen, Imad M. Jaimoukha, Simos A. Evangelou
https://arxiv.org/abs/2509.13545

A Game-Theoretic Predictive Control Framework with Statistical Collision Avoidance Constraints for Autonomous Vehicle Overtaking
This work develops a control framework for the autonomous overtaking of connected and automated vehicles (CAVs) in a mixed traffic environment, where the overtaken vehicle is an unconnected but interactive human-driven vehicle. The proposed method, termed the Game-Theoretic, PRedictive Overtaking (GT-PRO) strategy, successfully decouples the longitudinal and lateral vehicle dynamics of the CAV and comprehensively coordinates these decoupled dynamics via innovative longitudinal and lateral model…

Every criticism of Israel,
any sympathy for the Palestinians,
any pressure to end the war,
is seen today as a form of antisemitism
– even endorsement of Hamas.
Over 60% of Israelis, according to recent polls, believe “nobody in Gaza is innocent.”
Along with Israel’s sense of impunity, this popular notion explains how this war has turned into a genocide.
The core of Palestinian identity, most Israelis believe, is the physical destruction of their stat…

MAGNeT: Multimodal Adaptive Gaussian Networks for Intent Inference in Moving Target Selection across Complex Scenarios
Xiangxian Li, Yawen Zheng, Baiqiao Zhang, Yijia Ma, XianhuiCao XianhuiCao, Juan Liu, Yulong Bian, Jin Huang, Chenglei Yang
https://arxiv.org/abs/2508.12992

MAGNeT: Multimodal Adaptive Gaussian Networks for Intent Inference in Moving Target Selection across Complex Scenarios
Moving target selection in multimedia interactive systems faces unprecedented challenges as users increasingly interact across diverse and dynamic contexts-from live streaming in moving vehicles to VR gaming in varying environments. Existing approaches rely on probabilistic models that relate endpoint distribution to target properties such as size and speed. However, these methods require substantial training data for each new context and lack transferability across scenarios, limiting their pr…

The Orville - Interactive Fan Experience on Steam (Free Game)
https://store.steampowered.com/app/1096200/The_Orville__Interactive_Fan_Experience/

The Orville - Interactive Fan Experience on Steam
Step aboard the USS Orville (ECV-197), the Planetary Union's finest mid-level exploratory class cruiser. With every room on every deck recreated with painstaking accuracy, you are free to explore the ship at your leisure and engage in all manner of shenanigans!

Crosslisted article(s) found for cs.ET. https://arxiv.org/list/cs.ET/new
[1/1]:
- Generative AI Pipeline for Interactive Prompt-driven 2D-to-3D Vascular Reconstruction for Fontan ...
Prahlad G Menon

CRAFT-GUI: Curriculum-Reinforced Agent For GUI Tasks
Songqin Nong, Jingxuan Xu, Sheng Zhou, Jianfeng Chen, Xiaoxuan Tang, Tao Jiang, Wenhao Xu
https://arxiv.org/abs/2508.11360 h…

CRAFT-GUI: Curriculum-Reinforced Agent For GUI Tasks
As autonomous agents become adept at understanding and interacting with graphical user interface (GUI) environments, a new era of automated task execution is emerging. Recent studies have demonstrated that Reinforcement Learning (RL) can effectively enhance agents' performance in dynamic interactive GUI environments. However, these methods face two key limitations: (1) they overlook the significant variation in difficulty across different GUI tasks by treating the entire training data as a unif…

System-driven Interactive Design Support for Cloud Architecture: A Qualitative User Experience Study with Novice Engineers
Ryosuke Kohita, Akira Kasuga
https://arxiv.org/abs/2508.12385

System-driven Interactive Design Support for Cloud Architecture: A Qualitative User Experience Study with Novice Engineers
Cloud architecture design presents significant challenges due to the necessity of clarifying ambiguous requirements and systematically addressing complex trade-offs, especially for novice engineers with limited cloud experience. While recent advances in the use of AI tools have broadened available options, system-driven approaches that offer explicit guidance and step-by-step information management may be especially effective in supporting novices during the design process. This study qualitati…

Bounding the asymptotic quantum value of all multipartite compiled non-local games
Matilde Baroni, Dominik Leichtle, Sini\v{s}a Jankovi\'c, Ivan \v{S}upi\'c
https://arxiv.org/abs/2507.12408

Bounding the asymptotic quantum value of all multipartite compiled non-local games
Non-local games are a powerful tool to distinguish between correlations possible in classical and quantum worlds. Kalai et al. (STOC'23) proposed a compiler that converts multipartite non-local games into interactive protocols with a single prover, relying on cryptographic tools to remove the assumption of physical separation of the players. While quantum completeness and classical soundness of the construction have been established for all multipartite games, quantum soundness is known only in…

Lovely piece, and why I often take small hotel rooms in cities: so I'm forced out to go explore. I especially love this line: "I understood how a metropolis allows you to be solitary without being lonely." People who don't live in cities don't get this.
https://www.nytim…

Opinion | The Paris Métro Smell That Transports Me
A whiff of the Paris Métro flings me back to a summer I spent in France.

#Technikgeschichte: "Historical Tech Tree"
https://historicaltechtree.com
"The tech tree is an interactive visualization of technological history from 3 million years ago to tod…

3De Interactive Lenses for Visualization in Virtual Environments
Roberta C. R. Mota, Allan Rocha, Julio Daniel Silva, Usman Alim, Ehud Sharlin
https://arxiv.org/abs/2509.11410 h…

3De Interactive Lenses for Visualization in Virtual Environments
We present 3De lens, a technique for focus+context visualization of multi-geometry data. It fuses two categories of lenses (3D and Decal) to become a versatile lens for seamlessly working on multiple geometric representations that commonly coexist in 3D visualizations. In addition, we incorporate our lens into virtual reality as it enables a natural style of direct spatial manipulation for exploratory 3D data analysis. To demonstrate its potential use, we discuss two domain examples in which ou…

Basic interactive algorithms: Preview
Yuri Gurevich
https://arxiv.org/abs/2508.05798 https://arxiv.org/pdf/2508.05798…

Basic interactive algorithms: Preview
This dialog paper offers a preview and provides a foretaste of an upcoming work on the axiomatization of basic interactive algorithms. The modern notion of algorithm was elucidated in the 1930s--1950s. It was axiomatized a quarter of a century ago as the notion of ``sequential algorithm'' or ``classical algorithm''; we prefer to call it ``basic algorithm" now. The axiomatization was used to show that for every basic algorithm there is a behaviorally equivalent abstract state machine. It was a…

MMMS: Multi-Modal Multi-Surface Interactive Segmentation
Robin Sch\"on, Julian Lorenz, Katja Ludwig, Daniel Kienzle, Rainer Lienhart
https://arxiv.org/abs/2509.12963 https:…

MMMS: Multi-Modal Multi-Surface Interactive Segmentation
In this paper, we present a method to interactively create segmentation masks on the basis of user clicks. We pay particular attention to the segmentation of multiple surfaces that are simultaneously present in the same image. Since these surfaces may be heavily entangled and adjacent, we also present a novel extended evaluation metric that accounts for the challenges of this scenario. Additionally, the presented method is able to use multi-modal inputs to facilitate the segmentation task. At t…

🎵She don't lie, she don't lie, she don't lie...🎵
https://www.theguardian.com/society/ng-interactive/2025/sep/10/drug-overdose-crisis-dulf-vancouver

Recognizing a Palestinian state is a limited but welcome step that addresses an enduring blind spot: Palestinian rights cannot be conditioned on Israeli interests. https://www.theguardian.com/us-news/ng-interactive/20…

Grok's iOS app now features two AI "Companions", or 3D animated avatars that interact with users via voice, including Ani, an anime character with an NSFW mode (Alexey Shabanov/TestingCatalog)
https://www.testingcatalog.com/grok-debuts

Grok debuts interactive AI Companions on iOS with 3D avatars
Grok on iOS just got 2 AI Companions with one more labelled as "Coming soon". Ani and Rudy are fully animated, can change their backgrounds and make different moves.

Das macht Spaß!
https://www.nytimes.com/interactive/2025/07/06/upshot/ten-minute-challenge-archer.html?unlocked_article_code=1.U08.wheA.SLx1GxP_kOd7&smid=url-share

10-Minute Challenge: An Archery Contest in Ancient India
We’d like you to look at one piece of art for 10 minutes, uninterrupted.

Codes on any Cayley Graph have an Interactive Oracle Proof of Proximity
Hugo Delavenne (GRACE), Louise Lallemand (GRACE)
https://arxiv.org/abs/2508.10510 https://

Codes on any Cayley Graph have an Interactive Oracle Proof of Proximity
Interactive Oracle Proofs of Proximity (IOPP) are at the heart of code-based SNARKs, a family of zeroknowledge protocols. The first and most famous one is the FRI protocol [BBHR18a], that efficiently tests proximity to Reed-Solomon codes. This paper generalizes the flowering IOPP introduced in [DMR25] for some specific (2, n)-regular Tanner codes to a much broader variety of codes: any code with symbols indexed on the edges of a Cayley graph. The flowering protocol of [DMR25] had a soundness pa…

Another exciting thing I discovered: https://jsoncrack.com/

JSON Crack | Transform your data into interactive graphs
JSON Crack Editor is a tool for visualizing into graphs, analyzing, editing, formatting, querying, transforming and validating JSON, CSV, YAML, XML, and more.

"Factcheck: Trump’s climate report includes more than 100 false or misleading claims"
#US #USA #America #Climate

Factcheck: Trump’s climate report includes more than 100 false or misleading claims

Open Street Map of the 400 Grade II listed telephone boxes in London.
https://overpass-turbo.eu/s/29YN

This is so nerdy in the best possible way:
From @… for @… :

Watch This Guy’s Interactive Wooden Pixel Machine Make Art in Real Time
Kilopixel by Ben Holmen turns a CNC machine and a thousand wooden blocks into pixel art.

An Interactive Platform for Unified Assessment of Drug-Drug Interactions Using Descriptive and Pharmacokinetic Data
Nadezhda Diadkina
https://arxiv.org/abs/2508.08351 https://…

An Interactive Platform for Unified Assessment of Drug-Drug Interactions Using Descriptive and Pharmacokinetic Data
Drug-drug interactions (DDIs) are a major concern in polypharmacy. Public databases often provide only qualitative descriptions without pharmacokinetic context. We present an interactive web tool that integrates 191,541 descriptive DDI records from DrugBank with 3,779 AUC-based interactions from the PK-DDIP dataset, extracted from FDA-approved drug labeling (DailyMed) using natural language processing and manual verification. Using multi-step name harmonization (exact, fuzzy, synonym expansion,…

Cost-Effective Strategies for Infectious Diseases: A Multi-Objective Framework with an Interactive Dashboard
Jongmin Lee, Renier Mendoza, Victoria May P. Mendoza, Eunok Jung
https://arxiv.org/abs/2509.09087

Cost-Effective Strategies for Infectious Diseases: A Multi-Objective Framework with an Interactive Dashboard
During an infectious disease outbreak, policymakers must balance medical costs with social and economic burdens and seek interventions that minimize both. To support this decision-making process, we developed a framework that integrates multi-objective optimization, cost-benefit analysis, and an interactive dashboard. This platform enables users to input cost parameters and immediately obtain a cost-optimal intervention strategy. We applied this framework to the early outbreak of COVID-19 in So…

PaiP: An Operational Aware Interactive Planner for Unknown Cabinet Environments
Chengjin Wang, Zheng Yan, Yanmin Zhou, Runjie Shen, Zhipeng Wang, Bin Cheng, Bin He
https://arxiv.org/abs/2509.11516

PaiP: An Operational Aware Interactive Planner for Unknown Cabinet Environments
Box/cabinet scenarios with stacked objects pose significant challenges for robotic motion due to visual occlusions and constrained free space. Traditional collision-free trajectory planning methods often fail when no collision-free paths exist, and may even lead to catastrophic collisions caused by invisible objects. To overcome these challenges, we propose an operational aware interactive motion planner (PaiP) a real-time closed-loop planning framework utilizing multimodal tactile perception. …

Large Language Model-Empowered Decision Transformer for UAV-Enabled Data Collection
Zhixion Chen, Jiangzhou Wang, and Hyundong Shin, Arumugam Nallanathan
https://arxiv.org/abs/2509.13934

Large Language Model-Empowered Decision Transformer for UAV-Enabled Data Collection
The deployment of unmanned aerial vehicles (UAVs) for reliable and energy-efficient data collection from spatially distributed devices holds great promise in supporting diverse Internet of Things (IoT) applications. Nevertheless, the limited endurance and communication range of UAVs necessitate intelligent trajectory planning. While reinforcement learning (RL) has been extensively explored for UAV trajectory optimization, its interactive nature entails high costs and risks in real-world environ…

A profile of Pat McAfee, among the top American sports pundits with millions of followers and an ESPN show, and a sports bro culture dominated by ex-NFL players (Aaron Timms/The Guardian)
https://www.theguardian.com/sport/ng-interactive/2025/…

Winds Through Time: Interactive Data Visualization and Physicalization for Paleoclimate Communication
David Hunter, Pablo Botin, Emily Snode-Brenneman, Amy Stevermer, Becca Hatheway, Dillon Amaya, Eddie Goldstein, Wayne A Seltzer, Mark D Gross, Kris Karnauskas, Daniel Leithinger, Ellen Yi-Luen Do
https://arxiv.org/abs/2509.13039

Winds Through Time: Interactive Data Visualization and Physicalization for Paleoclimate Communication
We describe a multidisciplinary collaboration to iteratively design an interactive exhibit for a public science center on paleoclimate, the study of past climates. We created a data physicalisation of mountains and ice sheets that can be tangibly manipulated by visitors to interact with a wind simulation visualisation that demonstrates how the climate of North America differed dramatically between now and the peak of the last ice age. We detail the system for interaction and visualisation plus …

Sekai: A Video Dataset towards World Exploration
Zhen Li, Chuanhao Li, Xiaofeng Mao, Shaoheng Lin, Ming Li, Shitian Zhao, Zhaopan Xu, Xinyue Li, Yukang Feng, Jianwen Sun, Zizhen Li, Fanrui Zhang, Jiaxin Ai, Zhixiang Wang, Yuwei Wu, Tong He, Jiangmiao Pang, Yu Qiao, Yunde Jia, Kaipeng Zhang
https://arxiv.org/abs/2506.15675…

Sekai: A Video Dataset towards World Exploration
Video generation techniques have made remarkable progress, promising to be the foundation of interactive world exploration. However, existing video generation datasets are not well-suited for world exploration training as they suffer from some limitations: limited locations, short duration, static scenes, and a lack of annotations about exploration and the world. In this paper, we introduce Sekai (meaning ``world'' in Japanese), a high-quality first-person view worldwide video dataset with rich…

Fast and Interactive Byzantine Fault-tolerant Web Services via Session-Based Consensus Decoupling
Ahmad Zaki Akmal, Azkario Rizky Pratama, Guntur Dharma Putra
https://arxiv.org/abs/2507.08281

Fast and Interactive Byzantine Fault-tolerant Web Services via Session-Based Consensus Decoupling
Byzantine fault-tolerant (BFT) web services provide critical integrity guarantees for distributed applications but face significant latency challenges that hinder interactive user experiences. We propose a novel two-layer architecture that addresses this fundamental tension between security and responsiveness in BFT systems. Our approach introduces a session-aware transaction buffer layer (Layer 2) that delivers immediate feedback to users through consensus simulation, while periodically commit…

MVISU-Bench: Benchmarking Mobile Agents for Real-World Tasks by Multi-App, Vague, Interactive, Single-App and Unethical Instructions
Zeyu Huang, Juyuan Wang, Longfeng Chen, Boyi Xiao, Leng Cai, Yawen Zeng, Jin Xu
https://arxiv.org/abs/2508.09057

MVISU-Bench: Benchmarking Mobile Agents for Real-World Tasks by Multi-App, Vague, Interactive, Single-App and Unethical Instructions
Given the significant advances in Large Vision Language Models (LVLMs) in reasoning and visual understanding, mobile agents are rapidly emerging to meet users' automation needs. However, existing evaluation benchmarks are disconnected from the real world and fail to adequately address the diverse and complex requirements of users. From our extensive collection of user questionnaire, we identified five tasks: Multi-App, Vague, Interactive, Single-App, and Unethical Instructions. Around these tas…

Cynicism among reporters is a useful cipher for
the fear, desperation and impotence that news industry norms do not allow them,
but it has a dangerous side-effect:
it dulls outrage.
Without outrage,
crimes such as apartheid, ethnic cleansing and genocide
can continue uninterrupted
– and they have.

Young TIM: A wave-optics simulator with slightly special powers
Sean Leavey, Johannes Courtial
https://arxiv.org/abs/2506.15359 https://

Young TIM: A wave-optics simulator with slightly special powers
Wave optics is a prominent part of the undergraduate physics curriculum, and many undergraduate labs contain experiments on wave optics. In our 3rd-year undergraduate lab, we run numerical simulations alongside the experiments (and when pandemic restrictions did not allow students into the lab, those simulations replaced some experiments). We use Young TIM, an interactive wave-optics simulator designed to be a research tool that can also be used for the dissemination of our research and for edu…

Constraint-Consistent Control of Task-Based and Kinematic RCM Constraints for Surgical Robots
Yu Li, Hamid Sadeghian, Zewen Yang, Valentin Le Mesle, Sami Haddadin
https://arxiv.org/abs/2509.14075

Constraint-Consistent Control of Task-Based and Kinematic RCM Constraints for Surgical Robots
Robotic-assisted minimally invasive surgery (RAMIS) requires precise enforcement of the remote center of motion (RCM) constraint to ensure safe tool manipulation through a trocar. Achieving this constraint under dynamic and interactive conditions remains challenging, as existing control methods either lack robustness at the torque level or do not guarantee consistent RCM constraint satisfaction. This paper proposes a constraint-consistent torque controller that treats the RCM as a rheonomic hol…

From Noise to Knowledge: Interactive Summaries for Developer Alerts
Burak Yeti\c{s}tiren, Hong Jin Kang, Miryung Kim
https://arxiv.org/abs/2508.07169 https://

From Noise to Knowledge: Interactive Summaries for Developer Alerts
Programmers using bug-finding tools often review their reported warnings one by one. Based on the insight that identifying recurring themes and relationships can enhance the cognitive process of sensemaking, we propose CLARITY, which supports interpreting tool-generated warnings through interactive inquiry. CLARITY derives summary rules for custom grouping of related warnings with active feedback. As users mark warnings as interesting or uninteresting, CLARITY's rule inference algorithm surface…

IANN-MPPI: Interaction-Aware Neural Network-Enhanced Model Predictive Path Integral Approach for Autonomous Driving
Kanghyun Ryu, Minjun Sung, Piyush Gupta, Jovin D'sa, Faizan M. Tariq, David Isele, Sangjae Bae
https://arxiv.org/abs/2507.11940

IANN-MPPI: Interaction-Aware Neural Network-Enhanced Model Predictive Path Integral Approach for Autonomous Driving
Motion planning for autonomous vehicles (AVs) in dense traffic is challenging, often leading to overly conservative behavior and unmet planning objectives. This challenge stems from the AVs' limited ability to anticipate and respond to the interactive behavior of surrounding agents. Traditional decoupled prediction and planning pipelines rely on non-interactive predictions that overlook the fact that agents often adapt their behavior in response to the AV's actions. To address this, we propose …

SC-TPTP: An Extension of the TPTP Derivation Format for Sequent-Based Calculus
Julie Cailler, Simon Guilloud
https://arxiv.org/abs/2507.11349 https://

SC-TPTP: An Extension of the TPTP Derivation Format for Sequent-Based Calculus
Motivated by the transfer of proofs between proof systems, and in particular from first order automated theorem provers (ATPs) to interactive theorem provers (ITPs), we specify an extension of the TPTP derivation text format to describe proofs in first-order logic: SC-TPTP. To avoid multiplication of standards, our proposed format over-specifies the TPTP derivation format by focusing on sequent formalisms. By doing so, it provides a high level of detail, is faithful to mathematical tradition, a…

Interactive Hybrid Rice Breeding with Parametric Dual Projection
Changjian Chen, Pengcheng Wang, Fei Lyu, Zhuo Tang, Li Yang, Long Wang, Yong Cai, Feng Yu, Kenli Li
https://arxiv.org/abs/2507.11848

Interactive Hybrid Rice Breeding with Parametric Dual Projection
Hybrid rice breeding crossbreeds different rice lines and cultivates the resulting hybrids in fields to select those with desirable agronomic traits, such as higher yields. Recently, genomic selection has emerged as an efficient way for hybrid rice breeding. It predicts the traits of hybrids based on their genes, which helps exclude many undesired hybrids, largely reducing the workload of field cultivation. However, due to the limited accuracy of genomic prediction models, breeders still need t…

ENSI: Efficient Non-Interactive Secure Inference for Large Language Models
Zhiyu He, Maojiang Wang, Xinwen Gao, Yuchuan Luo, Lin Liu, Shaojing Fu
https://arxiv.org/abs/2509.09424

ENSI: Efficient Non-Interactive Secure Inference for Large Language Models
Secure inference enables privacy-preserving machine learning by leveraging cryptographic protocols that support computations on sensitive user data without exposing it. However, integrating cryptographic protocols with large language models (LLMs) presents significant challenges, as the inherent complexity of these protocols, together with LLMs' massive parameter scale and sophisticated architectures, severely limits practical usability. In this work, we propose ENSI, a novel non-interactive se…

ExploreVLM: Closed-Loop Robot Exploration Task Planning with Vision-Language Models
Zhichen Lou, Kechun Xu, Zhongxiang Zhou, Rong Xiong
https://arxiv.org/abs/2508.11918 https://…

ExploreVLM: Closed-Loop Robot Exploration Task Planning with Vision-Language Models
The advancement of embodied intelligence is accelerating the integration of robots into daily life as human assistants. This evolution requires robots to not only interpret high-level instructions and plan tasks but also perceive and adapt within dynamic environments. Vision-Language Models (VLMs) present a promising solution by combining visual understanding and language reasoning. However, existing VLM-based methods struggle with interactive exploration, accurate perception, and real-time pla…

ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation
Chenchen Zhang, Yuhang Li, Can Xu, Jiaheng Liu, Ao Liu, Shihui Hu, Dengpeng Wu, Guanhua Huang, Kejiao Li, Qi Yi, Ruibin Xiong, Haotian Zhu, Yuanxing Zhang, Yuhao Jiang, Yue Zhang, Zenan Xu, Bohui Zhai, Guoxiang He, Hebin Li, Jie Zhao, Le Zhang, Lingyun Tan, Pengyu Guo, Xianshu Pang, Yang Ruan, Zhifeng Zhang, Zhonghu Wang, Ziyan Xu, Zuopu Yin, Wiggin Zhou, Chayse Zhou, Fengzong Lian

ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation
The generative capabilities of Large Language Models (LLMs) are rapidly expanding from static code to dynamic, interactive visual artifacts. This progress is bottlenecked by a critical evaluation gap: established benchmarks focus on algorithmic correctness and are blind to the visual fidelity and interactive integrity that define modern user experiences. To bridge this gap, we introduce ArtifactsBench, a new benchmark and paradigm for the automated, multimodal evaluation of visual code generati…

Sources: Zerohash, which provides crypto and stablecoin infrastructure, is raising ~$100M at a ~$1B valuation, up from $340M when it raised a Series D in 2022 (Ben Weiss/Fortune)
https://fortune.com/crypto/2025/07/11/

Exclusive: Crypto and stablecoin infrastructure startup zerohash to raise $100 million at almost $1 billion valuation
The company is the latest beneficiary of venture capital’s booming interest in stablecoins.

NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting
Kuangshi Ai, Kaiyuan Tang, Chaoli Wang
https://arxiv.org/abs/2507.12621

NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting
Traditional volume visualization (VolVis) methods, like direct volume rendering, suffer from rigid transfer function designs and high computational costs. Although novel view synthesis approaches enhance rendering efficiency, they require additional learning effort for non-experts and lack support for semantic-level interaction. To bridge this gap, we propose NLI4VolVis, an interactive system that enables users to explore, query, and edit volumetric scenes using natural language. NLI4VolVis int…

There is only so much asphalt
and Pickleball can't get enough of it
https://www.nytimes.com/interactive/2025/09/01/upshot/pickleball.html?smid=nytcore-ios-share&referringSource=articleShare…

Pickleball Courts Taking Over Tennis Courts, as Seen From the Sky
Aerial photographs show what’s happening all over the country: There’s only so much asphalt, and pickleball can’t get enough of it.

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding
Howard H. Qian, Yiting Chen, Gaotian Wang, Podshara Chanrungmaneekul, Kaiyu Hang
https://arxiv.org/abs/2507.10776

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding
Successful execution of dexterous robotic manipulation tasks in new environments, such as grasping, depends on the ability to proficiently segment unseen objects from the background and other objects. Previous works in unseen object instance segmentation (UOIS) train models on large-scale datasets, which often leads to overfitting on static visual features. This dependency results in poor generalization performance when confronted with out-of-distribution scenarios. To address this limitation, …

Nextdoor unveils new features like an interactive neighborhood map called Alerts, partners with 3,500 local news outlets, and more, to revitalize its app (Mia Sato/The Verge)
https://www.theverge.com/news/706618/nextdoor-redesign-ai-reco…

Can Nextdoor overhaul itself to be useful?
Neighborhood app Nextdoor is adding local news content, an AI-powered recommendations chatbot, and a map of emergency events.

Auto-Slides: An Interactive Multi-Agent System for Creating and Customizing Research Presentations
Yuheng Yang, Wenjia Jiang, Yang Wang, Yiwei Wang, Chi Zhang
https://arxiv.org/abs/2509.11062

Auto-Slides: An Interactive Multi-Agent System for Creating and Customizing Research Presentations
The rapid progress of large language models (LLMs) has opened new opportunities for education. While learners can interact with academic papers through LLM-powered dialogue, limitations still exist: absence of structured organization and high text reliance can impede systematic understanding and engagement with complex concepts. To address these challenges, we propose Auto-Slides, an LLM-driven system that converts research papers into pedagogically structured, multimodal slides (e.g., diagrams…

Streaming 4D Visual Geometry Transformer
Dong Zhuo, Wenzhao Zheng, Jiahe Guo, Yuqi Wu, Jie Zhou, Jiwen Lu
https://arxiv.org/abs/2507.11539 https://

Streaming 4D Visual Geometry Transformer
Perceiving and reconstructing 4D spatial-temporal geometry from videos is a fundamental yet challenging computer vision task. To facilitate interactive and real-time applications, we propose a streaming 4D visual geometry transformer that shares a similar philosophy with autoregressive large language models. We explore a simple and efficient design and employ a causal transformer architecture to process the input sequence in an online manner. We use temporal causal attention and cache the histo…

AgentWorld: An Interactive Simulation Platform for Scene Construction and Mobile Robotic Manipulation
Yizheng Zhang, Zhenjun Yu, Jiaxin Lai, Cewu Lu, Lei Han
https://arxiv.org/abs/2508.07770

AgentWorld: An Interactive Simulation Platform for Scene Construction and Mobile Robotic Manipulation
We introduce AgentWorld, an interactive simulation platform for developing household mobile manipulation capabilities. Our platform combines automated scene construction that encompasses layout generation, semantic asset placement, visual material configuration, and physics simulation, with a dual-mode teleoperation system supporting both wheeled bases and humanoid locomotion policies for data collection. The resulting AgentWorld Dataset captures diverse tasks ranging from primitive actions (pi…

Next-Gen Museum Guides: Autonomous Navigation and Visitor Interaction with an Agentic Robot
Luca Garello, Francesca Cocchella, Alessandra Sciutti, Manuel Catalano, Francesco Rea
https://arxiv.org/abs/2507.12273

Next-Gen Museum Guides: Autonomous Navigation and Visitor Interaction with an Agentic Robot
Autonomous robots are increasingly being tested into public spaces to enhance user experiences, particularly in cultural and educational settings. This paper presents the design, implementation, and evaluation of the autonomous museum guide robot Alter-Ego equipped with advanced navigation and interactive capabilities. The robot leverages state-of-the-art Large Language Models (LLMs) to provide real-time, context aware question-and-answer (Q&A) interactions, allowing visitors to engage in conve…

Conflect: Designing Reflective Thinking-Based Contextual Privacy Policy for Mobile Applications
Shuning Zhang, Sixing Tao, Eve He, Yuting Yang, Ying Ma, Ailei Wang, Xin Yi, Hewu Li
https://arxiv.org/abs/2509.12578

Conflect: Designing Reflective Thinking-Based Contextual Privacy Policy for Mobile Applications
Privacy policies are lengthy and complex, leading to user neglect. While contextual privacy policies (CPPs) present information at the point of risk, they may lack engagement and disrupt tasks. We propose Conflect, an interactive CPP for mobile apps, guided by a reflective thinking framework. Through three workshops with experienced designers and researchers, we constructed the design space of reflective thinking-based CPP design, and identified the disconnect between context and action as the …

Envisage: Towards Expressive Visual Graph Querying
Xiaolin Wen, Qishuang Fu, Shuangyue Han, Yichen Guo, Joseph K. Liu, Yong Wang
https://arxiv.org/abs/2507.11999

Envisage: Towards Expressive Visual Graph Querying
Graph querying is the process of retrieving information from graph data using specialized languages (e.g., Cypher), often requiring programming expertise. Visual Graph Querying (VGQ) streamlines this process by enabling users to construct and execute queries via an interactive interface without resorting to complex coding. However, current VGQ tools only allow users to construct simple and specific query graphs, limiting users' ability to interactively express their query intent, especially for…

Mean Field Game-Based Interactive Trajectory Planning Using Physics-Inspired Unified Potential Fields
Zhen Tian, Fujiang Yuan, Chunhong Yuan, Yanhong Peng
https://arxiv.org/abs/2509.08147

Mean Field Game-Based Interactive Trajectory Planning Using Physics-Inspired Unified Potential Fields
Interactive trajectory planning in autonomous driving must balance safety, efficiency, and scalability under heterogeneous driving behaviors. Existing methods often face high computational cost or rely on external safety critics. To address this, we propose an Interaction-Enriched Unified Potential Field (IUPF) framework that fuses style-dependent benefit and risk fields through a physics-inspired variational model, grounded in mean field game theory. The approach captures conservative, aggress…

TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical Trials
Rui Sheng, Xingbo Wang, Jiachen Wang, Xiaofu Jin, Zhonghua Sheng, Zhenxing Xu, Suraj Rajendran, Huamin Qu, Fei Wang
https://arxiv.org/abs/2507.12298

TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical Trials
Eligibility criteria play a critical role in clinical trials by determining the target patient population, which significantly influences the outcomes of medical interventions. However, current approaches for designing eligibility criteria have limitations to support interactive exploration of the large space of eligibility criteria. They also ignore incorporating detailed characteristics from the original electronic health record (EHR) data for criteria refinement. To address these limitations…

Handows: A Palm-Based Interactive Multi-Window Management System in Virtual Reality
Jindu Wang, Ke Zhou, Haoyu Ren, Per Ola Kristensson, Xiang Li
https://arxiv.org/abs/2508.09469

Handows: A Palm-Based Interactive Multi-Window Management System in Virtual Reality
Window management in virtual reality (VR) remains a challenging task due to the spatial complexity and physical demands of current interaction methods. We introduce Handows, a palm-based interface that enables direct manipulation of spatial windows through familiar smartphone-inspired gestures on the user's non-dominant hand. Combining ergonomic layout design with body-centric input and passive haptics, Handows supports four core operations: window selection, closure, positioning, and scaling. …

Smart Device Development for Gait Monitoring: Multimodal Feedback in an Interactive Foot Orthosis, Walking Aid, and Mobile Application
Stefan Resch, Andr\'e Kousha, Anna Carroll, Noah Severinghaus, Felix Rehberg, Marco Zatschker, Yunus S\"oyleyici, Daniel Sanchez-Morillo
https://arxiv.org/abs/2509.09359

Smart Device Development for Gait Monitoring: Multimodal Feedback in an Interactive Foot Orthosis, Walking Aid, and Mobile Application
Smart assistive technologies such as sensor-based footwear and walking aids offer promising opportunities to support rehabilitation through real-time feedback and patient-centered monitoring. However, most orthotic devices remain passive and lack integrated sensing or feedback functionalities, while existing research often focuses on isolated prototypes rather than cohesive, interactive systems. In this work, we present the design and implementation of a novel modular sensor system that combine…

Modeling Interactive Narrative Systems: A Formal Approach
Jules Clerc, Domitile Lourdeaux, Mohamed Sallak, Johann Barbier, Marc Ravaine
https://arxiv.org/abs/2508.05653 https://…

Modeling Interactive Narrative Systems: A Formal Approach
Interactive Narrative Systems (INS) have revolutionized digital experiences by empowering users to actively shape their stories, diverging from traditional passive storytelling. However, the field faces challenges due to fragmented research efforts and diverse system representations. This paper introduces a formal representation framework for INS, inspired by diverse approaches from the state of the art. By providing a consistent vocabulary and modeling structure, the framework facilitates the …

Zombitron: towards a toolbox for repurposing obsolete smartphones into new interactive systems
Clara Rigaud
https://arxiv.org/abs/2508.06354 https://arxiv.…

Zombitron: towards a toolbox for repurposing obsolete smartphones into new interactive systems
This article explores the possibilities of reusing obsolete smartphones and tablets to build new interactive systems. Taking the case of a musical instrument, I present my research into the design of a controller made from various of these obsolete smartphones. From the diagnostic stage to the creation of a new autonomous electronic object, I document the process, the barriers and the levers encountered. Based on these explorations and discussions with two professional musicians, I provide seve…

TofuML: A Spatio-Physical Interactive Machine Learning Device for Interactive Exploration of Machine Learning for Novices
Wataru Kawabe, Hiroto Fukuda, Akihisa Shitara, Yuri Nakao, Yusuke Sugano
https://arxiv.org/abs/2508.00252

TofuML: A Spatio-Physical Interactive Machine Learning Device for Interactive Exploration of Machine Learning for Novices
We introduce TofuML, an interactive system designed to make machine learning (ML) concepts more accessible and engaging for non-expert users. Unlike conventional GUI-based systems, TofuML employs a physical and spatial interface consisting of a small device and a paper mat, allowing users to train and evaluate sound classification models through intuitive, toy-like interactions. Through two user studies -- a comparative study against a GUI-based version and a public event deployment -- we inves…