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Attitudes, Imagined Roles, and Governance Boundaries for AI in Decentralized Social Media
Decentralized social media operators define boundaries for AI integration, rejecting autonomous systems in favor of tools that support human governance and community autonomy.
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The Global Impact of Generative AI on the HCI Landscape: International Perspectives on HCI Education, Industry Dynamics, and Funding Considerations
Panel discussion on generative AI's multidimensional impact on HCI globally: education, industry dynamics, and funding across diverse regions and cultures.
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Designing Interactive Movement Sonification For Hip-Hop Dance
Study on sonification design for hip-hop dance improvisation, examining how dancers experience real-time sound feedback during collective and individual movement performance.
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"We Still Use Spreadsheets." Understanding Business Decision-Makers' Perceptions and Barriers to AI Analytics
Study reveals why business leaders still prefer spreadsheets over AI analytics tools, identifying skill gaps and design barriers preventing adoption of advanced analytics platforms.
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Economic conditions and presidential approval move together in patterned ways
Machine learning analysis identifies which macroeconomic conditions drive presidential approval ratings. Public sector activity, recession timing, and housing markets show distinct temporal dynamics.
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A Wizard for Kids: A Platform for Improvised Child–Robot Interactions
Platform design for teleoperated social robots in classrooms, enabling safe child-robot interactions and iterative prototyping of educational robot applications.
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AI adoption in entrepreneurship has grown sharply since 2020
Bibliometric analysis of 114 studies reveals growing research on AI adoption in entrepreneurship, concentrated in Europe and Asia, with gaps in African and Middle Eastern coverage.
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Physics-guided machine learning improved waveform prediction under sparse data
Physics-guided machine learning framework predicts quasi-isentropic waveforms from sparse data, achieving 96% accuracy and reducing computational resource requirements for material design.
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Adaptive music generation improved emotional matching
Emotion-Conditioned Deep Reinforcement Learning framework for adaptive music generation. Achieves 98% emotion mapping accuracy with 280ms real-time responsiveness, enabling dynamic musical.
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Hybrid reinforcement learning improved music teaching interaction
Hybrid reinforcement learning architecture for adaptive music education systems combining PPO with CNN for real-time pedagogical strategy optimization and multimodal learner state classification.
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Muzzle biometrics identified harvested red deer with high accuracy
Automated animal biometrics using muzzle pattern analysis achieves 95% accuracy for red deer identification, enabling verifiable harvest documentation and improved ungulate population management.
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Sentinel-2 classifies Yellow River ice types with high accuracy
Sentinel-2 remote sensing classifies Yellow River ice types with 94.91% accuracy using support vector machine algorithm, enabling operational monitoring for water resource and hazard management in.
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MLOps optimizations for high-load recommendation systems
Engineering optimization of MLOps processes for high-load recommendation systems integrating streaming features, parameter servers, and online training for latency and quality under scale.