The review reports that user studies on personality-adapted conversational agent feedback yielded two algorithms refined after a teacher study¶
Claim · All claims
Evidence · 1 study · reviewr2·q2
Currency · newest study 2016 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? User studies of feedback slant and emotional support messages for learners with different Five Factor Model personalities and test scores produced two algorithms, evaluated and refined after a qualitative study with teachers. → Olga C. Santos 2016
Evidence¶
Olga C. Santos 2016¶
Olga C. Santos, Milos Kravcik, Jesus G. Boticario. (2016). Preface to Special Issue on User Modelling to Support Personalization in Enhanced Educational Settings. Int J Artif Intell Educ 26:809–820. https://doi.org/10.1007/s40593-016-0114-z
q2 · i? · review · r2
The review reports, citing Dennis et al. (2016), user studies investigating whether a conversational agent should employ a slant in feedback and which emotional support messages to use given learner personality and performance; "two algorithms were created, then evaluated and refined after a qualitative study with teachers". No effect sizes are printed.
"User studies were run to understand the relationship between progress feedback and emotional support for students with different personalities and test scores. As a result, two algorithms were created, then evaluated and refined after a qualitative study with teachers."
Discussion¶
Related Claims¶
- The type of emotional support and slant given to a learner depends on the score the learner achieved (Experiment 1: conscientiousness) — a narrower finding that bears on this claim
- In the emotional stability experiment, emotional support use and slant depend on score, trait level, and their interaction — a narrower finding that bears on this claim
- Conscientiousness interacts with score in the use of advice: advice is given at 70% for low-conscientiousness learners but not for high-conscientiousness learners — a narrower finding that bears on this claim
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
personality-adapted-feedback-algorithms |
title |
The review reports that user studies on personality-adapted conversational agent feedback yielded two algorithms refined after a teacher study |
description |
The review reports that user studies on personality-adapted conversational agent feedback yielded two algorithms refined after a teacher study |
status |
review |
evidence_strength |
weak |
newest_evidence |
2016 |
generated |
by process:wiki-ingest on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — olga-c-santos-2016 |
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