Evidence map›Paper›PMID 42416164›Full record

ArticleFrontiers in psychology2026

Rethinking directiveness in AI coaching chatbots.

Nicky H D Terblanche, Andrew Beric Brown

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nicky H D TerblancheStellenbosch Business School, Stellenbosch University, Cape Town, South Africa.
Andrew Beric BrownStellenbosch Business School, Stellenbosch University, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organizational coaching is well established as an effective intervention for professional and personal development. However, ongoing debate exists regarding the relative merits of directive versus non-directive coaching styles, with non-directive approaches widely accepted as desired practice in human-to-human coaching. Recent advances in generative artificial intelligence (Gen AI), alongside the widespread adoption of applications such as ChatGPT, have created the conditions for Gen AI-powered coaching chatbots to emerge as potential coaching alternatives, with initial studies showing promising results. The advent of these coaching chatbots raise many questions including to what extent they should mimic what human coaches do, including their level of directiveness. To investigate this knowlede gap, two Gen AI coaching chatbots, one directive and one non-directive, were developed using Heron's intervention analysis model to operationalise distinct coaching styles. A between-subjects quasi-experiment (

Indexed as

AI coachingAI Device Use Acceptance (AIDUA)Big Five personality traitsdirective coachinggenerative AIgoal attainmentnon-directive coachingtechnology adoption

Identifiers

PMID42416164
PMCPMC13337845

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.