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How AI Can Influence Human Creativity in Open Innovation - Coggle Diagram
How AI Can Influence Human Creativity in Open Innovation
Idea Generation
AI tools can help by selecting or producing stimulating ideas that reduce this cognitive fixation
AI-generated stimulating ideas can be used to inspire human creativity and reduce cognitive fixation in innovation platforms
Cognitive fixation on ideas has been documented in innovation platforms and represents a significant limitation to creative performance
People begin by generating ideas
Barriers
Lack of motivation to develop more and better ideas
A bias against highly novel ideas
Fixation on previously suggested ideas
Cognitive limitations and biases
They face cognitive barriers when trying to develop their creative potential
Idea Development
Lack of feedback can weaken effort and motivation to contribute more ideas
Conversational technologies enable automated interactions with users, and AI can personalize this conversation
Feedback and reward systems are important motivational factors in innovation platforms
Personalized AI feedback includes concrete suggestions
fosters a sense of creative self-efficacy and motivates the individual to generate more creative ideas
Idea Evaluation
AI tools can help innovation managers conduct better evaluations
The primary goal of AI tools in idea evaluation is to reduce cognitive overload and novelty aversion
Accurately evaluating ideas is crucial for innovation managers
AI tools can automatically provide objective novelty and usefulness scores
Applications
AI feedback on ideation can provide direct and informative feedback
Conversational AI can provide personalized feedback to increase creative self-efficacy and motivation during idea development
AI-generated ideas can be used to inspire human creativity
Meaningful clues for idea evaluation can help overcome biases against novel ideas
Limitations
The need for data is significant in these contexts
Overdependence on the user and their aversion to AI input can reduce the effectiveness of this human-AI approach in facilitating innovation
Developing AI models in the context of innovation remains a challenge