The Creative Team Member: A Study of the Influence of AI Integration Timing on Brainstorming and Ideation
The Effect of Artificial Intelligence Integration Timing on Group Brainstorming and Ideation in Undergraduate Students: A Randomized Controlled Trial
1 other identifier
interventional
16
1 country
1
Brief Summary
This study aims to examine how the timing of artificial intelligence (AI) integration during group brainstorming activities affects the creativity and ideation of participants. Undergraduate student participants will be randomly allocated into teams of four to complete a structured 12-minute brainstorming task. The study utilizes a three-group experimental design to compare three conditions: no AI access, AI access from the outset of the session, and AI access introduced halfway through the session. The standardized generative AI tool used is ChatGPT Pro. The creative output produced by each group will be evaluated by a panel of independent expert judges using the Consensual Assessment Technique (CAT).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Jul 2026
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 5, 2026
CompletedFirst Posted
Study publicly available on registry
July 9, 2026
CompletedStudy Start
First participant enrolled
July 20, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 15, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
September 15, 2026
July 14, 2026
July 1, 2026
26 days
July 5, 2026
July 11, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Creativity Score of the Selected Best Idea
The primary outcome is the mean expert creativity rating assigned to each team's top idea, across each of the 9 sessions, as assessed by independent judges using the Consensual Assessment Technique (CAT). Higher average scores denote a more creative output, while lower scores denote a less creative output.
Evaluated cross-sectionally upon the conclusion of each 12-minute session, across the 9 study sessions.
Secondary Outcomes (3)
Overall Creativity Score of Full Idea List
Evaluated cross-sectionally upon the conclusion of each 12-minute session, across the 9 study sessions.
Number of Ideas Generated During the 12-Minute Session
Evaluated cross-sectionally upon the conclusion of each 12-minute session, across the 9 study sessions.
Qualitative Resemblance of the Team's Output to Typical AI-Generated Responses
Evaluated cross-sectionally upon the conclusion of each 12-minute session, across the 9 study sessions.
Study Arms (3)
No Artificial Intelligence Tools (Control)
NO INTERVENTIONAcross nine separate sessions, teams of four participants will complete all nine distinct student-struggle scenarios (one scenario per 12-minute session). In each session, participants engage in a structured collaborative brainstorming task entirely without access to artificial intelligence tools for the full 12 minutes. At the conclusion of each session, the team must evaluate their generated list and select their single best idea to solve that specific scenario.
Artificial Intelligence First (Early Integration)
EXPERIMENTALAcross nine separate sessions, teams of four participants will complete all nine distinct student-struggle scenarios (one scenario per 12-minute session). In each session, at minute 0, participants input the scenario prompt into ChatGPT Pro (GPT-4o architecture). The team receives a single initial output of ideas and does not engage in further back-and-forth dialogue with the tool. Participants use this initial artificial intelligence response as a baseline to continue human brainstorming and ideation for the remainder of the 12 minutes, ultimately selecting and submitting their single best idea for that specific scenario.
Artificial Intelligence Last (Late Integration)
EXPERIMENTALAcross nine separate sessions, teams of four participants will complete all nine distinct student-struggle scenarios (one scenario per 12-minute session). In each session, participants brainstorm independently without technology for the first 6 minutes. At minute 6, the team inputs the scenario prompt along with their already-generated human ideas into ChatGPT Pro (GPT-4o architecture). Receiving a single output with no further back-and-forth dialogue, the team uses the artificial intelligence response to continue ideating for the final 6 minutes, ultimately selecting and submitting their single best idea for that specific scenario.
Interventions
The introduction of ChatGPT Pro (GPT-4o architecture) at the beginning (minute 0) of a 12-minute group brainstorming session. A single prompt containing the scenario is submitted to generate an initial set of ideas, with no further back-and-forth dialogue permitted. This single artificial intelligence output serves as the baseline for the team's subsequent human ideation.
The introduction of ChatGPT Pro (GPT-4o architecture) at the midpoint (minute 6) of a 12-minute group brainstorming session. A single prompt containing both the scenario and the team's already-generated human ideas is submitted, with no further back-and-forth dialogue permitted. This single artificial intelligence output is used to guide the team's human ideation for the remaining 6 minutes.
Eligibility Criteria
You may qualify if:
- Enrolled as a student in the designated summer research program
- Able to provide voluntary informed consent
- Proficient in reading and communicating in English (required to engage with the scenarios and the artificial intelligence tool)
You may not qualify if:
- Not enrolled as an undergraduate student
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
McMaster University
Hamilton, Ontario, L8S 4L8, Canada
Related Publications (6)
Çelik, T. İ., & Akay, C. (2025). The Impact of Brainstorming Technique on Academic Achievement and Creative Thinking: A Meta-Analysis Study. Sage Open, 15(3). 62
BACKGROUNDMuller, M., Houde, S., Gonzalez, G., Brimijoin, K., Ross, S. I., Silva Moran, D. A., & Weisz, J. D. (2024). Group brainstorming with an AI agent: Creating and selecting ideas. Proceedings of the 15th International Conference on Computational Creativity (ICCC 2024). https://computationalcreativity.net/iccc24/papers/ICCC24_paper_18.pdf
BACKGROUNDAmabile, Teresa. (1982). Social psychology of creativity: A consensual assessment technique. Journal of Personality and Social Psychology. 43. 997-1013. 10.1037/0022-3514.43.5.997
BACKGROUNDKoo TK, Li MY. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J Chiropr Med. 2016 Jun;15(2):155-63. doi: 10.1016/j.jcm.2016.02.012. Epub 2016 Mar 31.
PMID: 27330520BACKGROUNDZhang C, Shao Y, Yuan Y, Shen W. Artificial Intelligence Reshapes Creativity: A Multidimensional Evaluation. Psych J. 2025 Dec;14(6):831-840. doi: 10.1002/pchj.70042. Epub 2025 Aug 5.
PMID: 40764253BACKGROUNDLee BC, Chung JJ. An empirical investigation of the impact of ChatGPT on creativity. Nat Hum Behav. 2024 Oct;8(10):1906-1914. doi: 10.1038/s41562-024-01953-1. Epub 2024 Aug 12.
PMID: 39134737BACKGROUND
Study Officials
- PRINCIPAL INVESTIGATOR
Mohit Bhandari, MD, PhD, FRCSC
McMaster University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor and Chair, Department of Surgery
Study Record Dates
First Submitted
July 5, 2026
First Posted
July 9, 2026
Study Start
July 20, 2026
Primary Completion (Estimated)
August 15, 2026
Study Completion (Estimated)
September 15, 2026
Last Updated
July 14, 2026
Record last verified: 2026-07
Data Sharing
- IPD Sharing
- Will not share
Individual participant data (IPD) will not be shared publicly due to an elevated risk of deductive re-identification. While numeric outcomes could be anonymized, the primary data consists of raw qualitative text (transcribed group brainstorming ideas and solutions) generated by a highly specific, geographically localized cohort of undergraduate students enrolled in the 2026 summer research program. Because the 2026 cohort size is small and the context is unique, sharing raw textual transcripts poses a risk of accidentally exposing the identities of the participants through specific phrasing, examples, or contextual clues, despite de-identification efforts. Therefore, to ensure participant confidentiality in accordance with institutional ethics guidelines, the raw data will remain confidential within the primary research team.