LLM-annotated EPITOME scores show the Non-Empathetic chatbot expresses significantly lower empathy on all three dimensions, while Standard and Empathetic chatbots are not significantly different¶
Claim · All claims
Evidence · 1 study · causalr1·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? One-way ANOVA on Gemini-annotated EPITOME scores over 237 conversations found significant between-condition differences; post hoc tests show the Non-Empathetic chatbot significantly lower on all three dimensions and Standard vs. Empathetic differences not significant. → Li Siyan 2026
Evidence¶
Li Siyan 2026¶
Li Siyan, Kai-Hui Liang, Shopnil Shahriar, Yilin Ye, Shiyoh Goetsu, Wei-Wei Du, Masahiro Yoshida, Tsunayuki Ohwa, Xuhai Xu, and Zhou Yu. (2026). Invisible Impact of Empathy on Behavioral Change: Isolating the Effect of Empathy in Long-term Physical Activity Coaching Chatbot Interactions. https://arxiv.org/abs/2606.26641 doi:10.48550/arxiv.2606.26641
q2 · i? · causal · r1
LLM-based annotation of 237 collected conversations (76 Non-Empathetic, 80 Standard, 81 Empathetic) using Gemini-2.5-Pro with the EPITOME three-dimensional empathy framework, one-way ANOVA with Bonferroni-corrected post hoc t-tests. No standardized effect size is printed; the article notes the Empathetic chatbot's average interpretation level is higher though not significant post-adjustment.
"In particular, the Non-Empathetic chatbot scores significantly lower along all three empathy dimensions. However, the differences in means between the Standard and Empathetic chatbots are not sufficiently significant."
Discussion¶
Related Claims¶
- In a six-week within-subject study, the Empathetic PA coaching chatbot improves intention to follow and self-efficacy faster over time than the Non-Empathetic condition — related
- Starting interaction with the Empathetic chatbot is associated with the least attrition in the six-week study — related
- LLM-annotated empathy dimensions correlate positively with intention to follow, self-efficacy, and chatbot usefulness despite participants not preferring empathetic chatbots — related
- Prompt settings and temperature settings have significant main effects on correlations among the three LLM chatbots — related
- Average check-in and weekly ratings show no significant differences between chatbot conditions, with the Non-Empathetic chatbot often rated as more engaging and useful — related
- Interview-containing prompts increased response diversity for Claude and GPT, while Gemini diversified with demographic-only prompts — related
- Claude showed the highest alignment with human BREQ responses, and interview-containing prompts aligned better than baseline prompts — related
- Non-expert participants often fail to notice empathy differences between chatbot versions, so self-reported perceived empathy alone is an unreliable assessment method — related
- REMind did not significantly increase measured empathy, but baseline human-directed empathy correlated positively with robot-directed empathy — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
llm-epitome-scores-differentiate-nonempathetic |
title |
LLM-annotated EPITOME scores show the Non-Empathetic chatbot expresses significantly lower empathy on all three dimensions, while Standard and Empathetic chatbots are not significantly different |
description |
LLM-annotated EPITOME scores show the Non-Empathetic chatbot expresses significantly lower empathy on all three dimensions, while Standard and Empathetic chatbots are not significantly different |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — li-siyan-2026 |
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