Mercedes Paulini
My research lies in the interdisciplinary domains of design computing and cyberpsychology; fields bringing together concepts from computer science, cognitive science and design science.
My PhD explored the emergent phenomenon of collective intelligence in online, social platforms. Collective intelligence occurs over open, universally distributed networks which are constantly enhanced, co-ordinated in real time and involve collaboration and competition among its members.
The problems facing us today as a global society are complex and ill-defined. Online communities provide a place for people with a common interest to come together from all over the world to address issues such as environmental problems or third world health and education. Members can use their spare time to become involved in online citizen science, governance or social product development.
I'm exploring what motivates people to become involved and continue to participate in these online projects; and how such communities communicate and represent ideas. Understanding these aspects of collective intelligence can lead to better ways of supporting inclusive online collaboration and creativity.
Supervisors: Prof. Mary Lou Maher and Dr. Paul Murty
My PhD explored the emergent phenomenon of collective intelligence in online, social platforms. Collective intelligence occurs over open, universally distributed networks which are constantly enhanced, co-ordinated in real time and involve collaboration and competition among its members.
The problems facing us today as a global society are complex and ill-defined. Online communities provide a place for people with a common interest to come together from all over the world to address issues such as environmental problems or third world health and education. Members can use their spare time to become involved in online citizen science, governance or social product development.
I'm exploring what motivates people to become involved and continue to participate in these online projects; and how such communities communicate and represent ideas. Understanding these aspects of collective intelligence can lead to better ways of supporting inclusive online collaboration and creativity.
Supervisors: Prof. Mary Lou Maher and Dr. Paul Murty
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Papers by Mercedes Paulini
and organizational aspects; ii) providing distinct roles for users to assume and manageable tasks for them to perform; iii) clarifying task requirements, and iv) supporting social communication to strengthen the impact of ideas, with particular focus on the social processes of ideation and evaluation. A framework is defined for structuring and understanding the management of collective innovation processes and the roles of participants. These findings have significant practical and theoretical implications for social innovation.
individuals who are motivated to participate in the design process. A protocol analysis allows us to compare collective intelligence in design to similar studies of individual and team design. Our analysis shows that a design process that includes collective intelligence shares processes of ideation and evaluation with individual and team design, and also includes a significant amount of social networking. Including collective intelligence in design can extend the typical design team to
include potential users and amateur perspectives that direct the design to be more sensitive to users’ needs and social issues, and can serve a marketing purpose.
magnifier of design thinking. A surge of internet based social computing applications have achieved surprising results from people thinking collectively, without the aid or restrictions of formal organisation, supervision, or even payment in the conventional sense. Some of the best known applications, such as Threadless and Top Coder, involve limited forms of design activity. However, applying collective intelligence to more complex forms of designing appears likely to require greater understanding of both collective intelligence and design thinking. This paper considers three questions whose resolution may lead to a more general understanding of design thinking through the lens of collective intelligence, how existing CI applications contribute to design thinking, requirements for Collective intelligence for designing (or CID), and how to organise a CI environment to support design processes. The authors
conclude that existing CI applications are already developing innovative design thinking activities, that there is an abundance of hitherto undiscovered ways of applying human intelligence to designing and that CI applications are largely self organising.
and organizational aspects; ii) providing distinct roles for users to assume and manageable tasks for them to perform; iii) clarifying task requirements, and iv) supporting social communication to strengthen the impact of ideas, with particular focus on the social processes of ideation and evaluation. A framework is defined for structuring and understanding the management of collective innovation processes and the roles of participants. These findings have significant practical and theoretical implications for social innovation.
individuals who are motivated to participate in the design process. A protocol analysis allows us to compare collective intelligence in design to similar studies of individual and team design. Our analysis shows that a design process that includes collective intelligence shares processes of ideation and evaluation with individual and team design, and also includes a significant amount of social networking. Including collective intelligence in design can extend the typical design team to
include potential users and amateur perspectives that direct the design to be more sensitive to users’ needs and social issues, and can serve a marketing purpose.
magnifier of design thinking. A surge of internet based social computing applications have achieved surprising results from people thinking collectively, without the aid or restrictions of formal organisation, supervision, or even payment in the conventional sense. Some of the best known applications, such as Threadless and Top Coder, involve limited forms of design activity. However, applying collective intelligence to more complex forms of designing appears likely to require greater understanding of both collective intelligence and design thinking. This paper considers three questions whose resolution may lead to a more general understanding of design thinking through the lens of collective intelligence, how existing CI applications contribute to design thinking, requirements for Collective intelligence for designing (or CID), and how to organise a CI environment to support design processes. The authors
conclude that existing CI applications are already developing innovative design thinking activities, that there is an abundance of hitherto undiscovered ways of applying human intelligence to designing and that CI applications are largely self organising.