New arXiv preprint uses Cognition–Affect–Conation framework to probe OpenClaw adoption

Study

A new preprint on arXiv examines users' behavioural intention to use OpenClaw through the Cognition–Affect–Conation (CAC) framework. The paper, posted as arXiv:2603.11455, treats cognition (what users think about the system) as the driver of affect (how they feel) and conation (their behavioural intentions). It has been reported that the authors identify enabling factors such as perceived personalisation, perceived intelligence, and related contextual variables as important antecedents to adoption.

Why this matters

Why study perceptions rather than raw performance? Because for interactive or algorithmic systems, subjective impressions often determine uptake. For Western readers unfamiliar with academic models from consumer psychology, the CAC chain is a shorthand for how beliefs convert into feelings and then into action — and it has practical consequences for designers, regulators and product managers alike. As scrutiny of AI systems grows worldwide and policymakers in the US, EU and elsewhere tighten rules on transparency and user protection, work that teases apart trust and intention takes on added policy and commercial relevance.

Caveats and next steps

This is a preprint and not peer reviewed; details on OpenClaw’s exact function, deployment context and the study’s methodology are limited in the abstract. Readers should treat results as preliminary. Further peer-reviewed publication and replication will be needed to confirm the paper’s claims and to clarify how generalisable the findings are across different markets and regulatory environments.