NCT07693803

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

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
16

participants targeted

Target at below P25 for not_applicable

Timeline
2mo left

Started Jul 2026

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
not yet recruiting

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

Study Progress24%
Jul 2026Sep 2026

First Submitted

Initial submission to the registry

July 5, 2026

Completed
4 days until next milestone

First Posted

Study publicly available on registry

July 9, 2026

Completed
11 days until next milestone

Study Start

First participant enrolled

July 20, 2026

Completed
26 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 15, 2026

Expected
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

September 15, 2026

Last Updated

July 14, 2026

Status Verified

July 1, 2026

Enrollment Period

26 days

First QC Date

July 5, 2026

Last Update Submit

July 11, 2026

Conditions

Keywords

Artificial IntelligenceGenerative AIChatGPTHuman-AI CollaborationProblem SolvingTeamworkUndergraduate StudentsIdeationBrainstormingCreativity

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 INTERVENTION

Across 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)

EXPERIMENTAL

Across 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.

Behavioral: Artificial Intelligence First (Early Integration)

Artificial Intelligence Last (Late Integration)

EXPERIMENTAL

Across 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.

Behavioral: Artificial Intelligence Last (Late Integration)

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.

Artificial Intelligence First (Early Integration)

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.

Artificial Intelligence Last (Late Integration)

Eligibility Criteria

Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

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

Location

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

    BACKGROUND
  • Muller, 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

    BACKGROUND
  • Amabile, 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

    BACKGROUND
  • Koo 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: 27330520BACKGROUND
  • Zhang 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: 40764253BACKGROUND
  • Lee 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

  • Mohit Bhandari, MD, PhD, FRCSC

    McMaster University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Alexandra Leone, BSc

CONTACT

Kaya Bhandari

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
OTHER
Intervention Model
PARALLEL
Model Details: The study uses a three-group experimental design where participants are allocated into teams of four and randomly assigned to one of three parallel experimental conditions: No AI, AI First, and AI Last. This design allows for the direct comparison of how the timing and availability of artificial intelligence access shapes creative output during a structured brainstorming task under otherwise identical conditions.
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.

Locations