Can we promote sustainable conversational shopping through system prompting large language models? We invite research teams to contribute to a pioneering research project following the Open Science paradigm: a many design study on making conversational shopping more sustainable!  

In the “ManyPrompts” project we invite research teams from around the world to design theoretically grounded sustainable shopping system prompts for addressing the critical question: “What is the impact of an AI-based sustainable conversational shopping assistant on consumers’ purchasing decisions regarding environmentally sustainable products compared to a control conversational shopping assistant?” This project aims to collate a diverse range of experimental designs from the academic community from different disciplines to execute up to 40 distinct experimental designs via the online platform Prolific involving approx. 16.000 participants. We will analyze the variation in design choices, outcome measures, and effects and synthesize findings into a paper, crediting co-authorship to all participating researchers whose system prompt designs were implemented. 

The project is being carried out in cooperation between researchers from the Karlsruhe Institute of Technology (KIT), Carnegie Mellon University (CMU), University of Miami (UM) and Nuremberg Institute for Market Decisions (NIM e.V.). It is fully funded by NIM e.V, a non-profit research institute at the interface of academia and practice.   

Further information about the project and opportunity for registration until April 1st 2026 is online available on https://manyprompts.online/. The preregistration is available via OSF.