Scaling Up: From Individual Design to Collaborative Design to Collective Design

@inproceedings{Maher2010ScalingUF,
  title={Scaling Up: From Individual Design to Collaborative Design to Collective Design},
  author={Mary Lou Maher and Mercedes Paulini and Paul Murty},
  booktitle={DCC},
  year={2010}
}
This paper presents a conceptual space for collective design to facilitate development of design environments that encourage large-scale participation in the next generation of challenging design tasks. Developing successful collective design starts by understanding how individual and collaborative design are supported with computing technology and then goes beyond collaborative design to structure and organize the design tasks so that people are motivated to participate. The analysis in this… 

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References

SHOWING 1-10 OF 22 REFERENCES

Supporting creativity in distributed scientific communities

TLDR
Three design implications to support creativity in CSCW are proposed: integrate support for individual, dyadic, and group brainstorming, leverage cognitive conflict by preserving and reflecting on minority dissent, and support flexibility in granularity of planning.

The impact of tangible user interfaces on spatial cognition during collaborative design

A framework that supports collective creativity in design using visual images

TLDR
It is identified that systems for supporting collective creativity need to be based on design knowledge that is contextualized, respectable and trustful, and enables “appropriation” of a design task.

Co-evolution as a computational and cognitive model of design

TLDR
The study shows that co-evolutionary design is a good cognitive model of design and highlights the similarities and differences between the computational model and the cognitive model.

Ewall: A Visual Analytics Environment for Collaborative Sense-Making

TLDR
EWall is designed to enable individual users to navigate vast amounts of shared information effectively and help remotely dispersed team members combine their contributions, work independently without diverting from common objectives, and minimize the necessary amount of verbal communication.

Collective knowledge systems: Where the Social Web meets the Semantic Web

What motivates Wikipedians?

In order to increase and enhance user-generated content contributions, it is important to understand the factors that lead people to freely share their time and knowledge with others.

Harnessing Crowds: Mapping the Genome of Collective Intelligence

TLDR
This article identifies the underlying building blocks - to use a biological metaphor, the "genes" - at the heart of collective intelligence systems and shows how combinations of genes comprise a "genome" that characterizes each collective intelligence system.

Understanding and assessing the motivations of volunteers: a functional approach.

TLDR
Evidence for predictive validity is provided by a laboratory study in which VFI motivations predicted the persuasive appeal of messages better when message and motivation were matched than mismatched, and by field studies in which the extent to which volunteers' experiences matched their motivations predicted satisfaction.

Foundations of a Philosophy of Collective Intelligence

TLDR
This work summarizes the differences between the Cartesian assumptions of classical artificial intelligence and the neo-Heideggerian embodied cognitive science, and reconsider the notions of autopoiesis, the individual body and embodiment itself in light of collective intelligence.