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Coaching at Scale: Investigating the Efficacy of Artificial Intelligence Coaching

  • Nicky Terblanche
  • , Joanna Molyn
  • , Erik De Haan
  • , Victor O. Nilsson

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

There is limited empirical efficacy evidence on the confluence of artificial intelligence (AI) andorganisational and life coaching. Coaching “works” but is often unavailable or unaffordable. AIcould scale coaching to reach a wider audience, however, we do not yet know how well AIcoaching “works”. This replication randomised controlled trial longitudinal study tested theefficacy of a chatbot AI coach called Vici. An experimental group (n=75) used Vici for sixmonths. Eight measurements on goal attainment, resilience, psychological wellbeing, andperceived stress were collected from the experimental and control group (n=94). Data wascollected at baseline, after each of the six chatbot usage months, and three-months later. Theexperimental group showed a statistically significant increase in goal attainment, while all othermeasures yielded non-significant results. Using AI, goal and control theories we interpret theseresults to indicate that AI coaching is effective in a narrow application, suggesting that AI coulddemocratise coaching in a cost-effective, scalable manner

Original languageEnglish
Pages (from-to)20-36
Number of pages17
JournalInternational Journal of Evidence Based Coaching and Mentoring
Volume20
Issue number2
Early online date1 Aug 2022
DOIs
Publication statusPublished - 2022

Bibliographical note

Publisher Copyright:
© 2022. the Author(s) Published by Oxford Brookes University

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Ai coaching
  • Artificial intelligence coaching
  • Chatbot coach
  • Goal attainment
  • Perceived stress
  • Positive psychology
  • Psychologicalwellbeing
  • Resilience

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