Beyond Participation: A Review of Co-Creation in Computing
- URL: http://arxiv.org/abs/2111.04524v1
- Date: Mon, 8 Nov 2021 14:15:50 GMT
- Title: Beyond Participation: A Review of Co-Creation in Computing
- Authors: Juliane Jarke, Gabriela Molina Le\'on, Irina Zakharova, Hendrik Heuer,
Ulrike Gerhard
- Abstract summary: We conduct a literature review of all papers in the ACM Digital Library with co-creation or co-create in their abstracts.
We introduce a framework to analyze different notions of co-creation.
We discuss the adoption of co-creation in domains such as learning, business, arts & culture, health, and the public sector.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: New methods and technologies for engaging future users and other stakeholders
in participatory (design) processes are being developed and proposed.
Increasingly, researchers refer to co-creation in order to capture such
approaches. However, how co-creation is being framed and understood across
domains differs substantially. To better understand co-creation in computing,
we conducted a literature review of all papers in the ACM Digital Library with
co-creation or co-create in their abstracts. After an initial screening, we
retained 62 for further analysis. We introduce a framework to analyze different
notions of co-creation, distinguishing between co-creation target audiences,
the roles of co-creators, the role of technology (as means or objective) and
its results. We discuss the adoption of co-creation in domains such as
learning, business, arts & culture, health, and the public sector. This paper
contributes to the understanding of different approaches and conceptualizations
of co-creation in computing and puts forward an agenda for future research.
Related papers
- On Creativity and Open-Endedness [1.3398445165628465]
The goal of this paper is to revitalize discussions of potential connections between the fields of Computational Creativity (CC) and Artificial Life (ALife)
The primary goal of CC is to endow artificial systems with creativity, and ALife has dedicated much research effort into studying and synthesizing OE and artificial innovation.
Despite the close proximity of these concepts, their use so far remains confined to their respective communities, and their relationship is largely unclear.
arXiv Detail & Related papers (2024-05-28T09:57:37Z) - Digital Transformation of Education, Systems Approach and Applied Research [0.0]
This article proposes the construction of a systemic model of digital education as part of research applied to public policy.
Considering the digital domain in its pervasiveness, it highlights the importance of a complex approach to understanding the transformation of practices.
arXiv Detail & Related papers (2024-04-10T07:45:29Z) - A Review of Cooperation in Multi-agent Learning [5.334450724000142]
Cooperation in multi-agent learning (MAL) is a topic at the intersection of numerous disciplines.
This paper provides an overview of the fundamental concepts, problem settings and algorithms of multi-agent learning.
arXiv Detail & Related papers (2023-12-08T16:42:15Z) - Federated Learning for Generalization, Robustness, Fairness: A Survey
and Benchmark [55.898771405172155]
Federated learning has emerged as a promising paradigm for privacy-preserving collaboration among different parties.
We provide a systematic overview of the important and recent developments of research on federated learning.
arXiv Detail & Related papers (2023-11-12T06:32:30Z) - Getting aligned on representational alignment [89.81370730647467]
We study the study of representational alignment in cognitive science, neuroscience, and machine learning.
There is limited knowledge transfer between research communities interested in representational alignment.
We propose a unifying framework that can serve as a common language between researchers studying representational alignment.
arXiv Detail & Related papers (2023-10-18T17:47:58Z) - The Participatory Turn in AI Design: Theoretical Foundations and the
Current State of Practice [64.29355073494125]
This article aims to ground what we dub the "participatory turn" in AI design by synthesizing existing theoretical literature on participation.
We articulate empirical findings concerning the current state of participatory practice in AI design based on an analysis of recently published research and semi-structured interviews with 12 AI researchers and practitioners.
arXiv Detail & Related papers (2023-10-02T05:30:42Z) - Understanding Idea Creation in Collaborative Discourse through Networks:
The Joint Attention-Interaction-Creation (AIC) Framework [0.42303492200814446]
The Joint Attention-Interaction-Creation (AIC) framework captures important dynamics in collaborative discourse.
The framework was developed from the networked lens, informed by natural language processing techniques, and inspired by socio-semantic network analysis.
arXiv Detail & Related papers (2023-05-25T17:18:19Z) - Foundations and Recent Trends in Multimodal Machine Learning:
Principles, Challenges, and Open Questions [68.6358773622615]
This paper provides an overview of the computational and theoretical foundations of multimodal machine learning.
We propose a taxonomy of 6 core technical challenges: representation, alignment, reasoning, generation, transference, and quantification.
Recent technical achievements will be presented through the lens of this taxonomy, allowing researchers to understand the similarities and differences across new approaches.
arXiv Detail & Related papers (2022-09-07T19:21:19Z) - Revise and Resubmit: An Intertextual Model of Text-based Collaboration
in Peer Review [52.359007622096684]
Peer review is a key component of the publishing process in most fields of science.
Existing NLP studies focus on the analysis of individual texts.
editorial assistance often requires modeling interactions between pairs of texts.
arXiv Detail & Related papers (2022-04-22T16:39:38Z) - Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and
Stir" [76.44130385507894]
This paper aims to ground what we dub a 'participatory turn' in AI design by synthesizing existing literature on participation and through empirical analysis of its current practices.
Based on our literature synthesis and empirical research, this paper presents a conceptual framework for analyzing participatory approaches to AI design.
arXiv Detail & Related papers (2021-11-01T17:57:04Z) - Holistically Placing the ICT Artefact in Capability Approach [0.0]
This paper proposes a framework that holistically places the Information and Communication Technology (ICT) Artefact in Capability Approach (CA)
The framework harmonises the different conceptualisations of technology within CA-based frameworks in ICT4D.
arXiv Detail & Related papers (2021-08-22T16:49:20Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.