Description
Data: Visual Perception, Interpretation, and Truth
Moderated by: Everardo Reyes and Jan Searleman
Data has become one of the most valuable resources in the digital age. Indeed, it is estimated that more than 5 billion users of the Internet (https://www.internetlivestats.com/) generate more than 59 trillion gigabytes of information (source from the State of Data column by Gil Press in Forbes magazine). However, while we all participate in creating data, it is not straightforward how our information is being processed, stored, and exchanged across the platforms, services, software, and devices that we use.
The 8th SPARKS session is interested in discussing innovative manners in which artists, technologists, researchers, and practitioners, express their visions of the impact and effects of data in art and science. With this goal in mind, the primary materials that the session seeks to highlight are visual media and visual methods that help, amplify, or challenge our visual perception and human interpretation.
Visual media is for us the means to make sense of visual information. If direct perception consists of discerning surfaces, textures, objects, places and other visual information in the natural world, then visual images act as media because they already contain a pre-figured point of view and disposition of elements. Moreover, different kinds of images allow diverse modes of interaction: from static to dynamic, from projection to immersion. In this respect, visual interfaces – such as data visualization, maps, diagrams, and graphics – are types of visual media that convey action and create a dynamic space where multiple actors interact at the same time (human users, computational procedures, digital media, computer devices).
This session welcomes the presentation of artworks, projects, prototypes, models, and datasets. We aim at gathering a variety of perspectives that consider and explore the past, the present, and the future of visual data, data art, data visualization, data representation, visual analytics, data criticism, among other fields. Overall, we hope to discover interrelations between people, events, places, and techniques.
Presenters and Speakers:
• Visualizing Environmental Data – Yoon Chung Han
• Know Thyself as a Virtual Reality: Making Artworks with Medical Scan Data – Marilène Oliver
• What if you could feel data? – Antony (Ant) Nevin
• Expeditions to Hidden Worlds – Science Visualization Lab of the University of Applied Arts Vienna – Martina R. Fröschl
• Reconstructing images using gaze data – Eugene Han
• Beyond Imitation: Manipulating Generative Models and Diverging from Data – Terence Broad
• Dithering in Other Geometries – Daniel Temkin
• Pairing Cognition & Design to Make Data More Useful – Danielle Albers Szafir
https://dac.siggraph.org/sparks/2021-10-data-visual-perception-interpretation-and-truth/