The Psychology of Collaborating and Co-Creating with Artificial Intelligence
type: CreativeWork
description: This dissertation, structured around three chapters, explores the nexus between employee creativity, collaboration, and artificial intelligence (AI) in organizational settings. The broader motivation for this research stems from the growing presence of AI in knowledge and creative work, which raises fundamental theoretical and practical questions about how human capabilities are redefined in relation to intelligent AI systems. As organizations increasingly adopt AI tools not just for automation or augmentation but for ideation and collaboration, it becomes essential to understand how employees make sense of, adapt to, and co-create with AI. This thesis examines long-standing research questions about employee creativity and collaboration and investigates AI’s impact on employee behavior. To build theory on this timely topic, I employed quantitative and qualitative methods to bring a well-rounded approach to our understanding of the psychological and behavioral implications of collaborating and co-creating with AI. This dissertation includes a qualitative investigation of fashion designers and stylists co-creating with AI (Paper 1), a theoretical exploration of creative autonomy when working with generative AI (Paper 2), and a mixed-methods examination of social comparisons and idea integration with generative AI (Paper 3). Although these papers are independent studies, they have informed and shaped each other, contributing to an overall narrative on human-AI co-creation. To deepen our theoretical understanding of creating with AI, I took an inductive approach and conducted a nearly three-year longitudinal case study with fashion designers and stylists who work directly with AI suggestions. This study was driven by my curiosity about how creative professionals interact and work with AI when they are required to simultaneously produce creative work and incorporate constraining, often opaque, AI suggestions. The first paper, “Stitching Together: Employee-AI Creative Col…
abstract: This dissertation, structured around three chapters, explores the nexus between employee creativity, collaboration, and artificial intelligence (AI) in organizational settings. The broader motivation for this research stems from the growing presence of AI in knowledge and creative work, which raises fundamental theoretical and practical questions about how human capabilities are redefined in relation to intelligent AI systems. As organizations increasingly adopt AI tools not just for automation or augmentation but for ideation and collaboration, it becomes essential to understand how employees make sense of, adapt to, and co-create with AI. This thesis examines long-standing research questions about employee creativity and collaboration and investigates AI’s impact on employee behavior. To build theory on this timely topic, I employed quantitative and qualitative methods to bring a well-rounded approach to our understanding of the psychological and behavioral implications of collaborating and co-creating with AI. This dissertation includes a qualitative investigation of fashion designers and stylists co-creating with AI (Paper 1), a theoretical exploration of creative autonomy when working with generative AI (Paper 2), and a mixed-methods examination of social comparisons and idea integration with generative AI (Paper 3). Although these papers are independent studies, they have informed and shaped each other, contributing to an overall narrative on human-AI co-creation. To deepen our theoretical understanding of creating with AI, I took an inductive approach and conducted a nearly three-year longitudinal case study with fashion designers and stylists who work directly with AI suggestions. This study was driven by my curiosity about how creative professionals interact and work with AI when they are required to simultaneously produce creative work and incorporate constraining, often opaque, AI suggestions. The first paper, “Stitching Together: Employee-AI Creative Col…
author: Vardanyan, Alentina
keywords: creativity, artificial intelligence, human-AI collaboration, human-AI co-creation, social comparison, collaboration
license: https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/a113a3be-fea3-420f-8d69-5b509c042883/download
license: http://purl.org/NET/rdflicense/allrightsreserved
date published: 2024-07-07
date modified: 2026-07-22T22:24:17Z
provider: Cambridge University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Cambridge

PropertyValue
property ID: DOI
value: 10.17863/CAM.120229