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Mood of the Planet: Challenging Visions of Big Data in the Arts.
Sorensen, Vibeke; Lansing, John Stephen; Thummanapalli, Nagaraju; Cambria, Erik.
Affiliation
  • Sorensen V; School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.
  • Lansing JS; School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.
  • Thummanapalli N; School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.
  • Cambria E; School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Cognit Comput ; 14(1): 310-321, 2022.
Article in En | MEDLINE | ID: mdl-34367353
Mood of the Planet is an interactive physical-digital sculpture that has as its center-piece a large "arch" or "doorway" that emits colored light and sound as a form of visualization and sonification of the changing, live emotions expressed by people all around the Earth. It is the product of several disciplines, including the arts, computer science, linguistics and psychology. In particular, we use artificial intelligence to collect and analyze social media data and extract emotions from these using a brain-inspired and psychologically motivated emotion categorization model. Such emotions are then translated into colors and sounds that the audience can experience while passing through the arch. Feedback from the audience proved the Mood of the Planet to provide a more accurate, personal and tangible experience about the data-emotions dichotomy.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Cognit Comput Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Cognit Comput Year: 2022 Document type: Article