Evaluating Co-Creation In Collaborative Drawing Using Creative Thinking Modes

Search for this publication on Google Scholar
Algarni, A. (2022). Evaluating Co-Creation In Collaborative Drawing Using Creative Thinking Modes. Unc Charlotte Electronic Theses And Dissertations.
Download PDF

Analytics

92 views ◎
64 downloads ⇓


Abstract

Co-creation is a form of collaboration in which partners share, improve and blend ideas together to develop a creative product. It helps to share ideas and solve problems in a creative manner. Several co-creativity research works have focused on generating creative artifacts, but there is a limited amount of research in analyzing creative collaborations. Creative collaboration can be evaluated through examining interaction dynamics such as cognitive states, behavior, and the number of ideas generated. This dissertation conducted two different collaborative experiments to add a new contribution to human-human co-creation by modeling and quantifying co-creativity using divergent and convergent thinking modes. The first study conducted 15 collaborative users' studies of a turn-based collaborative drawing task using a shared canvas to extract different patterns of creative collaboration. In the second study, we conducted 21 dyadic user studies of a turn-based collaborative drawing task to quantify and extract several co-creation patterns and compare co-creativity of users. The results of both studies showed significant differences of creative thinking between high and low creative performances. High co-creativity group shows balanced divergent and convergent thinking comparing to other works. The interaction dynamics of different creativity levels were also different in term of the number of ideas and objects created and modified. The work can be applied to different co-creation applications, and can be the starting point toward designing a computational creative thinking model in the future.

Details
Author

Algarni, Ali

Title

Evaluating Co-Creation In Collaborative Drawing Using Creative Thinking Modes

Physical Description

1 online resource (72 pages) : PDF

Date

2022

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Co-creation is a form of collaboration in which partners share, improve and blend ideas together to develop a creative product. It helps to share ideas and solve problems in a creative manner. Several co-creativity research works have focused on generating creative artifacts, but there is a limited amount of research in analyzing creative collaborations. Creative collaboration can be evaluated through examining interaction dynamics such as cognitive states, behavior, and the number of ideas generated. This dissertation conducted two different collaborative experiments to add a new contribution to human-human co-creation by modeling and quantifying co-creativity using divergent and convergent thinking modes. The first study conducted 15 collaborative users' studies of a turn-based collaborative drawing task using a shared canvas to extract different patterns of creative collaboration. In the second study, we conducted 21 dyadic user studies of a turn-based collaborative drawing task to quantify and extract several co-creation patterns and compare co-creativity of users. The results of both studies showed significant differences of creative thinking between high and low creative performances. High co-creativity group shows balanced divergent and convergent thinking comparing to other works. The interaction dynamics of different creativity levels were also different in term of the number of ideas and objects created and modified. The work can be applied to different co-creation applications, and can be the starting point toward designing a computational creative thinking model in the future.

Genre

doctoral dissertations

Subjects--Topics

Computer science

Degree

Ph.D.

Keywords

Co-Creation
Collaborative Creativity
Creative Thinking
Divergent Thinking
Human computer co-Creativity
Human Computer Interaction

Subject Area

Computer Science

Advisor(s)

Shehab, Mohamed

Committee Members

Wang, Weichao
Hadzikadic, Mirsad
Markant, Douglas
Cavalline, Tara

Degree Note

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2022.

Rights Statement

This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). For additional information, see http://rightsstatements.org/page/InC/1.0/.

Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Algarni_uncc_0694D_13073

Permalink

http://hdl.handle.net/20.500.13093/etd:2761