Muszynski, M., Kostoulas, T., Tian, L., Roman-Rangel, E., Chaspari, T. and Amelidis, P., 2023. 4th International Workshop on Multimodal Affect and Aesthetic Experience. In: Andre, E., Chetouani,, M., Vaufreydaz, D., Lucas, G., Schultz, T., Morency, L-P and Vinciarelli, A., eds. ICMI '23: Proceedings of the 25th International Conference on Multimodal Interaction. New York, NY: ACM, 814-815.
Full text available as:
|
PDF (OPEN ACCESS ARTICLE)
3577190.3616886.pdf - Published Version Available under License Creative Commons Attribution Non-commercial. 452kB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
Abstract
"Aesthetic experience"corresponds to the inner state of a person exposed to the form and content of artistic objects. Quantifying and interpreting the aesthetic experience of people in various contexts contribute towards a) creating context, and b) better understanding people's affective reactions to aesthetic stimuli. Focusing on different types of artistic content, such as movie, music, literature, urban art, ancient artwork, and modern interactive technology, the 4th international workshop on Multimodal Affect and Aesthetic Experience (MAAE) aims to enhance interdisciplinary collaboration among researchers from affective computing, aesthetics, human-robot/computer interaction, digital archaeology and art, culture, ethics, and addictive games.
Item Type: | Book Section |
---|---|
ISBN: | 9798400700552 |
Uncontrolled Keywords: | Afective computing; Aesthetic experience; Multimodal modeling; Signal processing; Machine Learning; Emotions; Human-robot interaction; Digital archaeology; Digital art; AI for fashion |
Group: | Faculty of Science & Technology |
ID Code: | 39183 |
Deposited By: | Symplectic RT2 |
Deposited On: | 23 Nov 2023 15:42 |
Last Modified: | 23 Nov 2023 15:42 |
Downloads
Downloads per month over past year
Repository Staff Only - |