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Human‐ AI Co‐Creativity: Does ChatGPT Make Us More Creative?
16 references·0 citing·53 second hop
Human‐ AI Co‐Creativity: Does ChatGPT Make Us More Creative? (2025)Human‐ AI Co‐Creativity: Does ChatGPT Mak…Generative AI enhances individual creativity but reduces the collective diversity of novel content (2024)Generative AI enhances indivi…An empirical investigation of the impact of ChatGPT on creativity (2024)An empirical investigation of…When and How Artificial Intelligence Augments Employee Creativity (2023)When and How Artificial Intel…The originality of machines: AI takes the Torrance Test (2023)The originality of machines: …Best humans still outperform artificial intelligence in a creative divergent thinking task (2023)Best humans still outperform …Artificial muses: Generative artificial intelligence chatbots have risen to human-level creativity (2023)Artificial muses: Generative …Naming unrelated words predicts creativity (2021)Naming unrelated words predic…The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power. (2016)The next Big Five Inventory (…Affective Processes in Human–Automation Interactions (2011)Affective Processes in Human–…Information sharing and team performance: A meta-analysis. (2009)Information sharing and team …Beyond Big and Little: The Four C Model of Creativity (2009)Beyond Big and Little: The Fo…Comparing a computer agent with a humanoid robot (2007)Comparing a computer agent wi…The Persuasiveness of Source Credibility: A Critical Review of Five Decades' Evidence (2004)The Persuasiveness of Source …EMPLOYEE CREATIVITY IN TAIWAN: AN APPLICATION OF ROLE IDENTITY THEORY. (2003)EMPLOYEE CREATIVITY IN TAIWAN…CREATIVE SELF-EFFICACY: ITS POTENTIAL ANTECEDENTS AND RELATIONSHIP TO CREATIVE PERFORMANCE. (2002)CREATIVE SELF-EFFICACY: ITS P…The Nature of Human Intelligence (1968)The Nature of Human Intellige…The file drawer problem and tolerance for null results. 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(2020)Mixing Qualitative and Quantitative Methods: Triangulation in Action (1979)Absorptive Capacity: A New Perspective on Learning and Innovation (1990)Seeking Qualitative Rigor in Inductive Research (2012)Can AI really help? The double-edged sword effect of AI assistant on employees’ innovation behavior (2023)The impact of trust in AI on career sustainability: The role of employee–AI collaboration and protean career orientation (2023)Social psychology of creativity: A consensual assessment technique. 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References

  • 1968The Nature of Human Intelligence4,657 cited
  • 2002CREATIVE SELF-EFFICACY: ITS POTENTIAL ANTECEDENTS AND RELATIONSHIP TO CREATIVE PERFORMANCE.2,877 cited
  • 2009Beyond Big and Little: The Four C Model of Creativity2,769 cited
  • 2016The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power.2,385 cited
  • 2004The Persuasiveness of Source Credibility: A Critical Review of Five Decades' Evidence2,343 cited
  • 2009Information sharing and team performance: A meta-analysis.1,366 cited
  • 2024Generative AI enhances individual creativity but reduces the collective diversity of novel content1,121 cited
  • 2003EMPLOYEE CREATIVITY IN TAIWAN: AN APPLICATION OF ROLE IDENTITY THEORY.923 cited
  • 2023When and How Artificial Intelligence Augments Employee Creativity820 cited
  • 2007Comparing a computer agent with a humanoid robot347 cited
  • 2011Affective Processes in Human–Automation Interactions260 cited
  • 2023Best humans still outperform artificial intelligence in a creative divergent thinking task242 cited
  • 2023Artificial muses: Generative artificial intelligence chatbots have risen to human-level creativity233 cited
  • 2021Naming unrelated words predicts creativity182 cited

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  • 2024An empirical investigation of the impact of ChatGPT on creativity176 cited
  • 2023The originality of machines: AI takes the Torrance Test165 cited
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