AI-Assisted Goal Setting Improves Goal Progress Through Social Accountability
Helping people identify and pursue personally meaningful career goals at scale remains a key challenge in applied psychology. Career coaching can improve goal quality and attainment, but its cost and limited availability restrict access. Large language model (LLM)-based chatbots offer a scalable alternative, yet the psychological mechanisms by which they might support goal pursuit remain untested. Here we report a preregistered three-arm randomised controlled trial (N = 517) comparing an AI career coach ("Leon," powered by Claude Sonnet), a matched structured written questionnaire covering closely matched reflective topics, and a no-support control on goal progress at a two-week follow-up...
| Authors | Michel Schimpf, Julian Voigt, Thomas Bohné |
|---|---|
| Primary category | cs.HC |
| Published | 18 March 2026 |
| Last updated at source | 18 March 2026 |
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