After listening to and reading numerous speculative opinions on AI and Coaching, all without empirical substance, I set out to create my own basic AI Coach to do empirical research to understand the what, how and when of AI Coaching. This ongoing research project has yielded its first results in the form of two open access published papers.
The first is a conceptual contribution that aims to put a stake in the ground in terms of guidelines for designing AI Coaches for organisational use. In the process of building my own AI Coach, I realised that there are no guidelines specific to our coaching industry for creating AI Coaches. I therefore combined three theoretical fields – organisational coaching (what we know works); chatbot (a form of AI) design; and expert system concepts. The result is the Design AI Coach ( DAIC) framework. Creators of AI Coaches could use this framework in the design of AI Coaches that are fit-for-purpose in the organizational coaching context.
The second paper is the first empirical study using my basic goal-attainment AI Coach called Vicci. Vicci was used by 226 users who had one conversation to set goals. Afterwards they evaluated their interaction using the Unified Theory of Acceptance and Usage of Technology (UTAUT) model. Using structural equation modeling, the main factors that determine users’ intention to use Vicci were identified.
You can find paper one here (https://radar.brookes.ac.uk/radar/items/312d40ec-ccdf-431c-a062-2aa862166ac4/1/)
and paper two here (http://philosophyofcoaching.org/v5i1/06.pdf).