Creativity support tools: accelerating discovery and innovation

By Ben Shneiderman. CACM, 2007

819 citations recorded by the source corpus.

Subfields: Computer Science Applications, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/48a165c4b0fd4081c338ac990612d7fa30304f7f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

In Human-Computer Interaction

Citations in the corpus

Seven HCI Grand Challenges (2019, background): “…or inventions from the first stages of the creation process (information gathering and hypothesis formulation) until its last stages (refinement, validation and dissemination), and pertain to any potential application domain, such as sciences, design, engineering, or arts (Shneiderman, 2007).”
Visualization of interfirm relations in a converging mobile ecosystem (2008, background): “Visualization facilitates the creative thinking process (Shneiderman, 2007) and provides a unique way to discover and communicate complex phenomenon.”
Assessing Creativity Specific to Engineering with the Revised Creative Engineering Design Assessment (2011, background): “Creativity support tools have focused on generating possible solutions, but not on identifying new problems (Shneiderman, 2007).”
Mapping the Landscape of Creativity Support Tools in HCI (2019, background): “This dependence on digital resources for creativity is reflected on Human-Computer Interaction (HCI), which has mainly explored themes pertaining to creativity by focusing on the potential of introducing various digital aids [152], more specifically Creativity Support Tools (CSTs) [154, 155].”
Data-driven suggestions for creativity support in 3D modeling (2010, methodology): “Our technique is complementary to existing approaches to 3D modeling and falls within the domain of creativity support [Shneiderman 2007].”
Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space (2011, background): “Thus, making the design process more efﬁcient through automating or augmenting the capabilities of designers is an important research focus (Goldschmidt and Porter, 2004; Shneiderman, 2007).”
Changing the Competitive Landscape: Continuous Innovation Through IT-Enabled Knowledge Capabilities (2010, background): “For instance, e-community of practice, Web conferencing, and groupware systems are all instrumental in cultivating social interactions and connectedness among individuals and groups; message boards, electronic message software, and chat rooms can help with communication and coordination; RSS technol”
Human-Computer Interaction and Knowledge Discovery (HCI-KDD): What Is the Benefit of Bringing Those Two Fields to Work Together? (2013, neutral): “…and machine learning researchers tend to believe in the power of their statistical methods to identify relevant patterns – mostly automatic, without human intervention, however, the dangers of modeling artifacts grow when end user comprehension and control are diminished [15], [16], [17], [18].”
Computational Creativity: The Final Frontier? (2012, methodology): “Firstly, the word responsibilities highlights the difference between the systems we build and creativity support tools studied in the HCI community [53] and embedded in tools such as Adobe’s Photoshop, to which most observers would probably not attribute creative intent or behaviour.”
May AI? Design Ideation with Cooperative Contextual Bandits (2019, background): “Abductive reasoning [38] and abstraction are argued to allow designers to “break through to the a-ha! moment of inspiration”[40].”