Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
DiSCoKit: An open-source toolkit for deploying live LLM experiences in survey research. |
| Συγγραφείς: |
Banks, Jaime, Stromer-Galley, Jonathan, Singh, Samiksha, Capano, Collin |
| Πηγή: |
PLoS ONE; 7/31/2026, Vol. 21 Issue 7, p1-10, 10p |
| Θεματικοί όροι: |
Human-artificial intelligence interaction, Open source software, Microsoft Azure, Language models, Questionnaires, Experimental design, JavaScript programming language, Data collection platforms |
| Περίληψη: |
In scientific studies of human-AI interaction dynamics, researchers often need to present participants with opportunities to interact with live large-language models (LLMs). However, technical and practical challenges (from survey platform limitations and 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). We describe the toolkit's scientific motivation, architecture, and operation. We also offer an example of toolkit deployment and customization, along with discussing its possibilities and limitations. Altogether, DiSCoKit gives researchers a flexible, secure, scalable solution for deploying naturalistic LLM stimulus experiences through online surveys. [ABSTRACT FROM AUTHOR] |
|
Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Βάση Δεδομένων: |
Complementary Index |