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Co-3Deator: A Team-First Collaborative 3D Design Ideation Tool

Authors:

Senthil Chandrasegaran,

Niklas Elmqvist,

Karthik RamaniAuthors Info & Claims

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Pages 6581 - 6592

https://doi.org/10.1145/3025453.3025825

Published: 02 May 2017 Publication History

Abstract

We present Co-3Deator, a sketch-based collaborative 3D modeling system based on the notion of "team-first" ideation tools, where the needs and processes of the entire design team come before that of an individual designer. Co-3Deator includes two specific team-first features: a concept component hierarchy which provides a design representation suitable for multi-level sharing and reusing of design information, and a collaborative design explorer for storing, viewing, and accessing hierarchical design data during collaborative design activities. We conduct two controlled user studies, one with individual designers to elicit the form and functionality of the collaborative design explorer, and the other with design teams to evaluate the utility of the concept component hierarchy and design explorer towards collaborative design ideation. Our results support our rationale for both of the proposed team-first collaboration mechanisms and suggest further ways to streamline collaborative design.

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Cited By

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Index Terms

Co-3Deator: A Team-First Collaborative 3D Design Ideation Tool
1. Human-centered computing
  1. Collaborative and social computing

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cover image ACM Conferences

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

May 2017

7138 pages

ISBN:9781450346559

DOI:10.1145/3025453

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

Copyright © 2017 ACM.

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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Published: 02 May 2017

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CHI '17: CHI Conference on Human Factors in Computing Systems

May 6 - 11, 2017

Colorado, Denver, USA

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CHI '17 Paper Acceptance Rate 600 of 2,400 submissions, 25%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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https://dl.acm.org/doi/10.1145/3613904.3642223
Fages AFleury CTsandilas T(2023)Conception collaborative au travers de versions parallèles en Réalité AugmentéeProceedings of the 34th Conference on l'Interaction Humain-Machine10.1145/3583961.3583978(1-13)Online publication date: 3-Apr-2023
https://dl.acm.org/doi/10.1145/3583961.3583978
Stemasov ELedo DFitzmaurice GAnderson F(2023)Immersive Sampling: Exploring Sampling for Future Creative Practices in Media-Rich, Immersive SpacesProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596131(212-229)Online publication date: 10-Jul-2023
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