Thinking outside the box means thinking outside the search engine

What Makes Us Smart?

Human creativity does not solely rely on our individual cognitive abilities, but instead emerges from the recombination of ideas, practices, and approaches that result from social interactions and id...

Creative Computing Group by @tgoerke.bsky.social — Grain

Let's start a group at CODIP to explore creative computing. Let's not start by defining creativity nor computing. It would be a trap. Let's collect artifacts instead. Images, text, thoughts,...

Beyond the Artifact: Power as a Lens for Creativity Support Tools

Watch and Link Disparate Ideas — Think Jar Collective

An important skill to develop to enhance thinking creatively is to be able to link disparate ideas. This article lays out some provocations to spark creative collisions for innovation

Knowledge sharing: Why smart creatives build in public

Knowledge sharing: Why smart creatives build in public

Ideation with Generative AI—in Consumer Research and Beyond

Abstract The use of generative AI (genAI) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing on the human creativity literature, we propose that ideation with genAI is facilitated by its productivity and semantic breadth, which are psychologically analogous to the dual pathways of persistence and flexibility in human ideation. Further, we distinguish between the utility of genAI as a key ideator versus humans as key ideator, conceptualized through the genAI ideation roles of Designer and Writer and of Interviewer and Actor. While genAI excels in generating incremental improvements, its potential for groundbreaking innovation could be unlocked by leveraging its ability to prompt human creativity. This article advances the theoretical and practical understanding of genAI in ideation for consumer research, offering numerous practical guidelines for integrating generative AI into research while emphasizing human–AI collaboration to achieve radical insights.

Creative Technologists are moving from the margins to the center

Once an obscure job title, creative technology is becoming a new way of working, and a core capability inside modern product teams. Soon…

Art or tool?

The Internet spaces I tend to inhabit have more polarisation than at many other recent times, and little explication of the worldviews that lead to different premises for discussion, that in turn...

Combinatorial Creativity

Combinatorial creativity recombines existing ideas to spark novel, valuable innovations in cognition, AI, and design.

Revisiting creative behaviour as an epistemic process: lessons from 12 computational artists and designers | Proceedings of the 35th Australian Computer-Human Interaction Conference

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Popularity Feedback Constrains Innovation in Cultural Markets

Real-world creative processes ranging from art to science rely on social feedback-loops between selection and creation. Yet, the effects of popularity feedback on collective creativity remain poorly understood. We investigate how popularity ratings influence cultural dynamics in a large-scale online experiment where participants ($N = 1\,008$) iteratively \textit{select} images from evolving markets and \textit{produce} their own modifications. Results show that exposing the popularity of images reduces cultural diversity and slows innovation, delaying aesthetic improvements. Popularity feedback is associated with changes to both selection and creative stages. During selection, popularity information triggers cumulative advantage, with participants preferentially building upon popular images, reducing diversity. During creation, participants make less disruptive changes, and are more likely to expand existing visual patterns. Feedback loops in cultural markets thus not only shape selection, but also, directly or indirectly, the form and direction of cultural innovation.

Good Internet

A magazine for the non-corporate and independent web, use of code as an art medium, and web development enthusiasm of hobbyists and professionals alike.

Consequences of Information Feed Integration on User Engagement and Contribution: A Natural Experiment in an Online Knowledge-Sharing Community

Many online communities that rely on effortful, voluntary content contributions offer additional content curation tools to facilitate social interactions and encourage user contributions. Any platform that offers two or more heterogeneous content types (e.g., expert knowledge and social posts) faces a choice about the presentation format: whether to display the content types separately or in an integrated information feed. We leverage a natural experiment on Zhihu, a Q&A platform that offers a social-interaction-oriented functionality called Ideas. Zhihu initially presented answers (expert knowledge content) and ideas (social posts) in two different information feeds, but the platform integrated ideas into the same information feed as answers in June 2019. We find that information feed integration significantly decreased user engagement with and contribution of both ideas and answers. We hypothesize that users decreased their engagement because the juxtaposition of incongruous types of content increased mindset switching and cognitive strain. This hypothesis is supported by an additional laboratory experiment. We also present evidence showing that contributions decreased both because of the decrease in engagement (weaker social recognition incentives) and because integration heightened concerns that posting ideas would dilute the contributor’s professional image. Our findings have important theoretical and practical implications for any platform that hosts heterogeneous content. History: Xiaoquan (Michael) Zhang served as the senior editor and Yili (Kevin) Hong served as associate editor for this article. Funding: Z. Cao acknowledges this research was funded by National Natural Science Foundation of China [Grants 72201238, 72192823]. G. Li acknowledges this research was funded by National Natural Science Foundation of China [Grant 72102047] and Shanghai Pujiang Program [Grant 21PJC006]. Supplemental Material: The e-companion is available at https://doi.org/10.1287/isre.2022.0043.

Cognitive Load and Social Media Advertising

Social media engagement requires cognitive resources, which subsequently impact the advertisements consumers see while browsing. For the most part, however, advertising practitioners and scholars s...

(PDF) The Four-C Model of Creativity: Culture and Context

PDF | In this chapter, we highlight the Four-C Model of creativity, which traces creative development from mini-c (personal creativity) to little-c... | Find, read and cite all the research you need on ResearchGate

Stigmergic Collaboration: A Theoretical Framework for Mass Collaboration

"This thesis presents an application-oriented theoretical framework for generalised and specific collaborative contexts with a special focus on Internet-based mass collaboration. The proposed framework is informed by the author's many years of collaborative arts practice and the design, building and moderation of a number of online collaborative environments across a wide range of contexts and applications. The thesis provides transdisciplinary architecture for describing the underlying mechanisms that have enabled the emergence of mass collaboration and other activities associated with 'Web 2.0' by incorporating a collaboratively developed definition and general framework for collaboration and collective activity, as well as theories of swarm intelligence, stigmergy, and distributed cognition. "Accompanying this creative arts thesis is a DVD-Rom which includes offline versions of the three Internet based collaborative environments designed, built and implemented in accordance with the frameworks for digital stigmergy and mass collaboration developed in the written work. The creative works in conjunction with the written thesis help to explore and more rigorously define the collaborative process in general, while testing the theory that stigmergy is an inherent component of collaborative processes which incorporate collective material production. "Supported by a range of contemporary examples of Internet activity, including the accompanying creative works, it is found that stigmergy is a deeply rooted mechanism inherent in not only traditional material collaborative processes, but a range of emerging online practices which may be broadly categorised as digital stigmergic cooperation and collaboration. This latter class enables the extreme scaling seen in mass collaborative projects such as Wikipedia.org, open source software projects and the massive, multiplayer environment, Second Life. This scaling is achieved through a range of attributes which are examined, such as the provision of a localised site of individualistic engagement which reduces demands placed upon participants by the social negotiation of contributions while increasing capacity for direct and immediate creative participation via digital workspaces. Also examined are a range of cultural, economic and sociopolitical impacts which emerge as a direct result of mass collaboration's highly distributed, non-market based, peer-production processes, all of which are shown to have important implications for the further transformation of our contemporary information and media landscape."