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arxivcs.HC2026-07-22

TargetFinder: Detecting Widgets from Pixels on Desktop Interfaces

Ahmed Ben Akouche, Géry Casiez, Mathieu Nancel, Julien Gori

''Target-aware'' pointing techniques, like Bubble Cursor or Semantic Pointing, outperform traditional pointing by leveraging knowledge of target locations. Yet the lack of application-agnostic widget geometry information limits their adoption across the desktop. We present TargetFinder, a computer vision-based system for real-time detection of GUI widgets. TargetFinder leverages several fine-tuned YOLO networks trained on a new dataset of 520 annotated desktop screenshots (~38,000 annotations) spanning Windows, macOS, Ubuntu, and web interfaces. TargetFinder uses lightweight screen monitoring and low-latency detection, achieving millisecond responsiveness suitable for interactive use. Evaluations show that TargetFinder outperforms the baseline methods (OmniParser and REMAUI), while system-wide implementations of Bubble Cursor and Semantic Pointing demonstrate the feasibility of deploying universal target-aware techniques that work across applications. We release the dataset, models, annotation tool, and an open-source library for research and applications.

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Towards Knitted Textile Electromechanical Systems

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arxivcs.HC2026-07-10

KnitID: Machine-Knitted RFID Antennas for Battery-Free Authentication, Localization and Interaction

Weiye Xu, Yue Xu, Devin Murphy, Sen Zhang, Te-yen Wu, Yiyue Luo

Battery-free RFID systems offer a scalable and maintenance-free approach to interaction. We present KnitID, a machine-knitted textile RFID antenna design that enables on-body authentication, localization, and interaction. Unlike prior antenna designs, KnitID achieves a compact an…

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AutoJourn: Multi-Perspective Summarisation, Bias Detection and Bias Neutralisation for LLM-Generated News in Automated Journalism

Himel Ghosh, Ahmed Mosharafa, Georg Groh

We present AutoJourn, a demonstration system for multi-perspective news generation and bias-aware evaluation using large language models (LLMs). The system tackles three core challenges in responsible automated journalism: extracting diverse perspectives from unstructured social…

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