Tootfinder

DeformTune: A Deformable XAI Music Prototype for Non-Musicians
Ziqing Xu, Nick Bryan-Kinns
https://arxiv.org/abs/2508.00160 https://arxiv.org/pdf/2508.0016…

DeformTune: A Deformable XAI Music Prototype for Non-Musicians
Many existing AI music generation tools rely on text prompts, complex interfaces, or instrument-like controls, which may require musical or technical knowledge that non-musicians do not possess. This paper introduces DeformTune, a prototype system that combines a tactile deformable interface with the MeasureVAE model to explore more intuitive, embodied, and explainable AI interaction. We conducted a preliminary study with 11 adult participants without formal musical training to investigate thei…

Correcting Misperceptions at a Glance: Using Data Visualizations to Reduce Political Sectarianism
Douglas Markant, Subham Sah, Alireza Karduni, Milad Rogha, My Thai, Wenwen Dou
https://arxiv.org/abs/2508.00233

Correcting Misperceptions at a Glance: Using Data Visualizations to Reduce Political Sectarianism
Political sectarianism is fueled in part by misperceptions of political opponents: People commonly overestimate the support for extreme policies among members of the other party. Research suggests that correcting partisan misperceptions by informing people about the actual views of outparty members may reduce one's own expressed support for political extremism, including partisan violence and anti-democratic actions. The present study investigated how correction effects depend on different repr…

Reducing Motion Sickness in Passengers of Autonomous Personal Mobility Vehicles by Presenting a Driving Path
Yuya Ide, Hailong Liu, Takahiro Wada
https://arxiv.org/abs/2506.23457 …

Reducing Motion Sickness in Passengers of Autonomous Personal Mobility Vehicles by Presenting a Driving Path
Autonomous personal mobility vehicles (APMVs) are small mobility devices designed for individual automated transportation in shared spaces. In such environments, frequent pedestrian avoidance maneuvers may cause rapid steering adjustments and passive postural responses from passengers, thereby increasing the risk of motion sickness. This study investigated the effects of providing path information on 16 passengers' head movement behavior and motion sickness while riding an APMV. Through a contr…

Re-examining Super-Nyquist Frequencies of 68 $\delta$ Scuti Stars Utilizing the Kepler Long Cadence Photometry
Zilu Yang, Jianning Fu, Xuan Wang, Yanqi Mo, Weikai Zong
https://arxiv.org/abs/2507.18128 …

Re-examining Super-Nyquist Frequencies of 68 $δ$ Scuti Stars Utilizing the Kepler Long Cadence Photometry
The high-precision and long-duration photometry provided by the $Kepler$ mission has greatly advanced frequency analyses of a large number of pulsating stars, a fundamental step in asteroseismology. For $δ$ Scuti stars, analyses are typically confined to frequencies below the Nyquist frequency. However, signals above this limit can be reflected into the sub-Nyquist range, especially in long-cadence data, where they may overlap with genuine pulsation modes and lead to misinterpretation. To addr…

Analysis of User Experience Evaluation Methods for Deaf users: A Case Study on a mobile App
A. E. Fuentes-Cort\'azar, A. Rivera-Hern\'andez, J. R. Rojano-C\'aceres
https://arxiv.org/abs/2507.22455

Analysis of User Experience Evaluation Methods for Deaf users: A Case Study on a mobile App
User Experience (UX) evaluation methods that are commonly used with hearing users may not be functional or effective for Deaf users. This is because these methods are primarily designed for users with hearing abilities, which can create limitations in the interaction, perception, and understanding of the methods for Deaf individuals. Furthermore, traditional UX evaluation approaches often fail to address the unique accessibility needs of Deaf users, resulting in an incomplete or biased assessme…

Exploring Student-AI Interactions in Vibe Coding
Francis Geng, Anshul Shah, Haolin Li, Nawab Mulla, Steven Swanson, Gerald Soosai Raj, Daniel Zingaro, Leo Porter
https://arxiv.org/abs/2507.22614

Exploring Student-AI Interactions in Vibe Coding
Background and Context. Chat-based and inline-coding-based GenAI has already had substantial impact on the CS Education community. The recent introduction of ``vibe coding'' may further transform how students program, as it introduces a new way for students to create software projects with minimal oversight. Objectives. The purpose of this study is to understand how students in introductory programming and advanced software engineering classes interact with a vibe coding platform (Replit) whe…

MapAgent: Trajectory-Constructed Memory-Augmented Planning for Mobile Task Automation
Yi Kong, Dianxi Shi, Guoli Yang, Zhang ke-di, Chenlin Huang, Xiaopeng Li, Songchang Jin
https://arxiv.org/abs/2507.21953

MapAgent: Trajectory-Constructed Memory-Augmented Planning for Mobile Task Automation
The recent advancement of autonomous agents powered by Large Language Models (LLMs) has demonstrated significant potential for automating tasks on mobile devices through graphical user interfaces (GUIs). Despite initial progress, these agents still face challenges when handling complex real-world tasks. These challenges arise from a lack of knowledge about real-life mobile applications in LLM-based agents, which may lead to ineffective task planning and even cause hallucinations. To address the…

Mosaic Selections: Managing and Optimizing User Selections for Scalable Data Visualization Systems
Jeffrey Heer, Dominik Moritz, Ron Pechuk
https://arxiv.org/abs/2507.19690 http…

Mosaic Selections: Managing and Optimizing User Selections for Scalable Data Visualization Systems
Though powerful tools for analysis and communication, interactive visualizations often fail to support real-time interaction with large datasets with millions or more records. To highlight and filter data, users indicate values or intervals of interest. Such selections may span multiple components, combine in complex ways, and require optimizations to ensure low-latency updates. We describe Mosaic Selections, a model for representing, managing, and optimizing user selections, in which one or mo…

Towards Effective Immersive Technologies in Medicine: Potential and Future Applications based on VR, AR, XR and AI solutions
Aliaksandr Marozau, Barbara Karpowicz, Tomasz Kowalewski, Pavlo Zinevych, Wiktor Stawski, Adam Kuzdrali\'nski, Wies{\l}aw Kope\'c
https://arxiv.org/abs/2507.19466

Towards Effective Immersive Technologies in Medicine: Potential and Future Applications based on VR, AR, XR and AI solutions
Mixed Reality (MR) technologies such as Virtual and Augmented Reality (VR, AR) are well established in medical practice, enhancing diagnostics, treatment, and education. However, there are still some limitations and challenges that may be overcome thanks to the latest generations of equipment, software, and frameworks based on eXtended Reality (XR) by enabling immersive systems that support safer, more controlled environments for training and patient care. Our review highlights recent VR and AR…

TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models
Zijian Zhang, Pan Chen, Fangshi Du, Runlong Ye, Oliver Huang, Michael Liut, Al\'an Aspuru-Guzik
https://arxiv.org/abs/2507.18945

TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models
Efficiently navigating and understanding academic papers is crucial for scientific progress. Traditional linear formats like PDF and HTML can cause cognitive overload and obscure a paper's hierarchical structure, making it difficult to locate key information. While LLM-based chatbots offer summarization, they often lack nuanced understanding of specific sections, may produce unreliable information, and typically discard the document's navigational structure. Drawing insights from a formative st…

AI, Expert or Peer? -- Examining the Impact of Perceived Feedback Source on Pre-Service Teachers Feedback Perception and Uptake
Lucas Jasper Jacobsen, Ute Mertens, Thorben Jansen, Kira Elena Weber
https://arxiv.org/abs/2507.16013

AI, Expert or Peer? -- Examining the Impact of Perceived Feedback Source on Pre-Service Teachers Feedback Perception and Uptake
Feedback plays a central role in learning, yet pre-service teachers' engagement with feedback depends not only on its quality but also on their perception of the feedback content and source. Large Language Models (LLMs) are increasingly used to provide educational feedback; however, negative perceptions may limit their practical use, and little is known about how pre-service teachers' perceptions and behavioral responses differ by feedback source. This study investigates how the perceived sourc…

Emphasizing Deliberation and Critical Thinking in an AI Hype World
Katja Rogers
https://arxiv.org/abs/2507.14961 https://arxiv.org/pd…

Emphasizing Deliberation and Critical Thinking in an AI Hype World
AI solutionism is accelerated and substantiated by hype and HCI's elevation of novelty. Banning or abandoning technology is unlikely to work and probably not beneficial on the whole either -- but slow(er), deliberate use together with conscientious, critical engagement and non-engagement may help us navigate a post-AI hype world while contributing to a solid knowledge foundation and reducing harmful impacts in education and research.