Mood of the Planet: challenging visions of big data in the arts
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 t...
| Hlavní autoři: | , , , |
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| Médium: | Journal Article |
| Jazyk: | English |
| Vydáno: |
2022
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| On-line přístup: | https://hdl.handle.net/10356/160177 |
| _version_ | 1826110388304871424 |
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| author | Sorensen, Vibeke Lansing, J. Stephen Thummanapalli, Nagaraju Cambria, Erik |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Sorensen, Vibeke Lansing, J. Stephen Thummanapalli, Nagaraju Cambria, Erik |
| author_sort | Sorensen, Vibeke |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T02:33:35Z |
| format | Journal Article |
| id | ntu-10356/160177 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:33:35Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1601772022-07-14T04:02:03Z Mood of the Planet: challenging visions of big data in the arts Sorensen, Vibeke Lansing, J. Stephen Thummanapalli, Nagaraju Cambria, Erik School of Computer Science and Engineering Engineering::Computer science and engineering Art and Emotion Affective Computing 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. 2022-07-14T04:02:03Z 2022-07-14T04:02:03Z 2022 Journal Article Sorensen, V., Lansing, J. S., Thummanapalli, N. & Cambria, E. (2022). Mood of the Planet: challenging visions of big data in the arts. Cognitive Computation, 14(1), 310-321. https://dx.doi.org/10.1007/s12559-020-09766-w 1866-9956 https://hdl.handle.net/10356/160177 10.1007/s12559-020-09766-w 34367353 2-s2.0-85111635698 1 14 310 321 en Cognitive Computation © 2021 Springer Science+Business Media, LLC, part of Springer Nature. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Art and Emotion Affective Computing Sorensen, Vibeke Lansing, J. Stephen Thummanapalli, Nagaraju Cambria, Erik Mood of the Planet: challenging visions of big data in the arts |
| title | Mood of the Planet: challenging visions of big data in the arts |
| title_full | Mood of the Planet: challenging visions of big data in the arts |
| title_fullStr | Mood of the Planet: challenging visions of big data in the arts |
| title_full_unstemmed | Mood of the Planet: challenging visions of big data in the arts |
| title_short | Mood of the Planet: challenging visions of big data in the arts |
| title_sort | mood of the planet challenging visions of big data in the arts |
| topic | Engineering::Computer science and engineering Art and Emotion Affective Computing |
| url | https://hdl.handle.net/10356/160177 |
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