ISSN TBA
Journal of Visual Science and Communication
Journal of Visual Science and Communication is dedicated to advancing research on the visual representation, understanding, communication, and critical analysis of scientific knowledge, complex data, and technical information. It focuses on the intersections among visualization technologies, information design, visual cognition, and science communication. The journal covers scientific visualization, information visualization, visual communication, digital media, interaction design, medical imaging, art and design research, and science, technology, engineering, arts, and mathematics (STEAM) education, exploring how visual media facilitate the understanding, exchange, and application of scientific knowledge.
- Scientific visualization and visual analytics: scientific data visualization, multidimensional data representation, spatiotemporal data visualization, visual analytics of complex systems, uncertainty visualization, and interactive analytical methods.
- Medical imaging and health information design:visual interpretation of medical images, image-assisted decision-making, medical information visualization, health risk communication, patient comprehension of information, and accessibility of medical visual information.
- Science communication and visual narrative:scientific illustration, information graphics, data storytelling, interactive media, digital exhibitions, public science communication, and evaluation of visual communication effects.
- Artificial intelligence and generative visual media:generative AI images, automation of scientific illustration, human–AI collaborative creation, authenticity of visual content, image bias and provenance, and evaluation of generative visual tools.
- Visual cognition, accessibility, and ethics:visual perception and cognition experiments, information comprehension, accessible design, color-vision-friendly representation, cultural differences, visual bias, misleading images, and ethics of scientific images.
- STEAM education and design-driven learning: interdisciplinary project-based learning, design thinking, arts–engineering integration, maker education, creativity assessment, learning outcome measurement, and digital technologies in STEAM education.
- Art–science integration research:art–science collaboration, research-through-design, interactive art, science-themed artistic creation, visual experiments, and arts practice-based knowledge production.
- Design methods and interdisciplinary innovation: participatory design, human-centered design, design research methods, prototype development and evaluation, user studies of visualization tools, and interdisciplinary collaboration models.