会議情報

KV 2026: Knowledge Visualization and Visual Thinking

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投稿締切日:
2026-04-30
通知日:
2026-06-01
開催日:
2026-07-28
開催地:
London, UK
ICORE: C   閲覧: 28   フォロー: 0   参加: 0

論文募集

KV 2026 (Knowledge Visualization and Visual Thinking) is a ICORE C conference held in London, UK on 2026-07-28. The paper submission deadline is 2026-04-30. Acceptance notifications are sent on 2026-06-01.

The Knowledge Visualization and Visual Thinking (KV) Symposium is dedicated to exploring contemporary methodologies and applications that enhance the creation, communication, and management of knowledge through visual means. Incorporating advancements in Artificial Intelligence (AI), the symposium aims to foster interdisciplinary discussions on how AI-driven visualization techniques can transform knowledge processes across various domains. This call for papers seeks original papers and contributions concerning, but not limited to: AI-Enhanced Knowledge Visualization: Integration of AI to automate and improve visualization design and data processing. Utilizing machine learning for dynamic and adaptive knowledge representations. Exploring AI’s role in personalizing visual content to user-specific needs. Visual Thinking in Complex Systems: Developing visual tools to simplify and manage complex information structures. Employing visual metaphors and models to facilitate understanding in multidisciplinary collaborations. Case studies demonstrating visual thinking applications in problem-solving and decision-making. Cognitive Aspects of Visual Knowledge Transfer: Investigating how AI-driven visualizations impact cognitive load and information retention. Designing visual interfaces that align with human perception and learning processes. Evaluating the effectiveness of interactive visualizations in knowledge dissemination. Collaborative Visualization Tools: Creating AI-supported platforms that enhance collaborative knowledge creation and sharing. Assessing the role of real-time visual analytics in team-based environments. Innovations in shared visual spaces for remote and co-located collaboration. Ethics and Accessibility in AI-Driven Visualizations: Addressing ethical considerations in the deployment of AI for knowledge visualization. Ensuring accessibility and inclusivity in AI-enhanced visual tools. Discussing the implications of AI biases in visual knowledge representation.
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BA1ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-01-132027-05-16

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Visualization in EngineeringSpringer2213-7459
Computing and Visualization in ScienceSpringer1432-9360
Journal of Visual Languages and ComputingElsevier1045-926X
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

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