research-article

MuSeeCol: A See-through Multi-touch Surface for Face-to-face Musical Collaboration

Authors:

Wooi Boon Goh,

Lijia Yang,

Kian Leong OngAuthors Info & Claims

ACE '16: Proceedings of the 13th International Conference on Advances in Computer Entertainment Technology

Article No.: 15, Pages 1 - 6

https://doi.org/10.1145/3001773.3001788

Published: 09 November 2016 Publication History

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Abstract

MuSeeCol is a collaborative music creation system that allows two users to jointly and playfully compose melodic or percussive music. Collaborative music is rendered when two face-to-face users interact with their respective side of a see-through multi-touch sensitive acrylic panel. We present user study findings from nine pairs of individuals who have used the MuSeeCol system collaboratively and summarize some general observations of what types of interaction designs make for effective face-to-face collaboration.

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Cited By

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Suh MYoungblom ETerry MCai CKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)AI as Social Glue: Uncovering the Roles of Deep Generative AI during Social Music CompositionProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445219(1-11)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445219

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MuSeeCol: A See-through Multi-touch Surface for Face-to-face Musical Collaboration

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Information & Contributors

Information

Published In

ACE '16: Proceedings of the 13th International Conference on Advances in Computer Entertainment Technology

November 2016

373 pages

ISBN:9781450347730

DOI:10.1145/3001773

General Chair:
Itaru Kuramoto
Kyoto Institute of Technology, Japan
,
Program Chairs:
Hideyuki Ando
Osaka University, Japan
,
Günter Wallner
University of Applied Arts Vienna, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 November 2016

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ACE2016

ACE2016: International Conference on Advances in Computer Entertainment Technology

November 9 - 12, 2016

Osaka, Japan

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Overall Acceptance Rate 36 of 90 submissions, 40%

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Suh MYoungblom ETerry MCai CKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)AI as Social Glue: Uncovering the Roles of Deep Generative AI during Social Music CompositionProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445219(1-11)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445219

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Recommendations

Quadropong - Conditions for Mediating Collaborative Interaction in a Co-located Collaborative Digital Game using Multi-Display Composition

Tangraphe: interactive exploration of network visualizations using single hand, multi-touch gestures

Multi-touch interaction for tasking robots