The term “aesthetic experience” corresponds to the inner state of a person exposed to form and content of artistic objects. Exploring certain aesthetic values of artistic objects, as well as interpreting the aesthetic experience of people when exposed to art can contribute towards understanding (a) art and (b) people’s affective reactions to artwork. Focusing on different types of artistic content, such as movies, music, urban art and other artwork, the goal of this workshop is to enhance the interdisciplinary collaboration between affective computing and aesthetics researchers. The goal of this workshop is to connect researchers and advance the state of the art in the affective computing and aesthetics research areas.
Multimodal data collection in response to artistic objects
Emotions and aesthetic experience
Qualitative and quantitative evaluation of the experience and absorption of aesthetic values
Analysis of physiological and behavioural signals captured during aesthetic experience
Assessment of affective states in response to movies, music, and other artwork
Content analysis of artistic objects (movies, music, paintings, games, etc.)
Intrapersonal and interpersonal correlation of multimodal responses during aesthetic experience
Neuroaesthetics for studying the underlaying brain mechanisms and sensory, reward, emotional neural processes related to aesthetics
Human-habitat interaction and its relation to human content and well-being
We invite the submission of papers (10 page limit with extra pages for refs only ), short papers or demos (4 page limit with 1 extra page for refs & appendices only) and keynote talk abstract (2 page limit to include speakers' bio). References do not count towards the page limit. All papers can have additional pages beyond their page limits that are used exclusively for references.
According to the ICMI 2020 guidelines, the reviewing will be double blind, so submissions should be anonymous: do not include the authors’ names, affiliations or any clearly identifiable information in the paper. It is appropriate to cite past work of the authors if these citations are treated like any other (e.g., “Smith approached this problem by….”) - omit references only if it would be obviously identifying the authors. Submitted papers should conform to the ACM publication format. For templates and examples, please here. Note: Please use the latest ACM_SigConf format for both short and long paper submissions.
The workshop proceedings will be published in the ACM Digital Library.
https://easychair.org/conferences/?conf=maae2020