Cloze: An Open Research Platform for Studying Human-AI Conversations in Mental Health Contexts

Abstract:Cloze is an open-source web platform for conducting controlled, monitored studies of human-AI conversation in mental health research contexts. Consumer large language model (LLM) products such as ChatGPT, Claude, and Gemini are built for individual productivity, and offer researchers little experimental control, inconsistent data export, and no shared safety scaffolding that holds across providers. Cloze gives research teams a single environment in which they configure which models participants converse with, how the AI is instructed, how conversations are scheduled over time, and which safety constraints apply unconditionally, while every message is captured with full provenance (model version, prompt configuration, timing). The platform currently supports OpenAI, Anthropic, Google, and locally hosted open-weight models served through Ollama behind a unified interface, and runs in the cloud or fully on premises so that participant data need never leave an institution. Cloze is research infrastructure for building an evidence base on human-AI interaction in mental health contexts. It is not a therapeutic product.

7 pages, 2 figures. Cloze is released under AGPL-3.0

Human-Computer Interaction (cs.HC); Computation and Language (cs.CL); Computers and Society (cs.CY)

arXiv:2606.15033 [cs.HC]

(or arXiv:2606.15033v1 [cs.HC] for this version)

https://doi.org/10.48550/arXiv.2606.15033 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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