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arXiv · 2602.11230

DiSCoKit: An Open-Source Toolkit for Deploying Live LLM Experiences in Survey Research

Jaime Banks·Jon Stromer-Galley·Samiksha Singh·Collin Capano
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Abstract

Advancing social-scientific research of human-AI interaction dynamics and outcomes often requires researchers to deliver experiences with live large-language models (LLMs) to participants through online survey platforms. However, technical and practical challenges (from logging chat data to manipulating AI behaviors for experimental designs) often inhibit survey-based deployment of AI stimuli. We developed DiSCoKit--an open-source toolkit for deploying live LLM experiences (e.g., ones based on models delivered through Microsoft Azure portal) through JavaScript-enabled survey platforms (e.g., Qualtrics). This paper introduces that toolkit, explaining its scientific impetus, describes its architecture and operation, as well as its deployment possibilities and limitations.

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Jaime Banks, Jon Stromer-Galley, Samiksha Singh, Collin Capano. 2026-02-11. DiSCoKit: An Open-Source Toolkit for Deploying Live LLM Experiences in Survey Research. https://arxiv.org/abs/2602.11230

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