Conference Information
AM 2020: Audio Mostly
https://audiomostly.com/2020/
Submission Date:
2020-05-01
Notification Date:
2020-06-15
Conference Date:
2020-09-15
Location:
Graz, Austria
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Call For Papers
Audio Mostly is an interdisciplinary conference on design and experience of interaction with sound that prides itself on embracing applied theory and reflective practice. Its annual gatherings bring together thinkers and doers from academia and industry that share an interest in sonic interaction and the use of audio for interface design. This remit covers product design, auditory display, computer games and virtual environments, new musical instruments, and education and workplace tools. It further includes fields such as the psychology of sound and music, cultural studies, system engineering, and everything in between in which sonic interaction plays a role. Popular keywords of previous submissions are visualized as tag cloud below.

We call for Papers on the topic of audio mostly in extended realities.

Submitted papers should provide a scientific contribution by reporting original research methods and results (original research paper), summarizing the current state-of-the-art on a topic (review paper), presenting an opinion about specific issues (position paper), or presenting practical situations in real-world contexts that can contribute to existing knowledge of the field (case study paper).

Length and Formatting

We let authors choose the most appropriate length for their contribution amongst two formats:

    Short papers (4 pages, typically Poster or Demo presentation) should present a work-in-progress.
    Long papers (5-8 pages, typically oral presentation) should present a substantial contribution to the field.

Page limits include all figures, tables, appendices, and references.
The length of the abstract should be 150-200 words.

Peer review

All submissions will be fully peer-reviewed. The review process is double blind. Please submit completely anonymized drafts. Please do not include any identifying information, and refrain from citing authors' own prior work in anything other than third-person.
Last updated by Dou Sun in 2020-03-11
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