68/100

Moderate evidence

GainPublished recordLifestyleGood Space

Android embodiment with facial mimicry may enhance emotional responses during conversations with AI agents

Truvace record
TRV-2026-2656raw data (JSON)
Version
v1Published
First published
Evidence type
Controlled or validated comparison
Sources
1 sourcePeer-reviewed
sha256
4b61142c0aac…check it

The potential of artificial intelligence (AI) agents to engage in emotional conversations with humans is attracting increasing attention. Previous studies suggested that conversational agents powered by large language models such as ChatGPT can engage in emotionally competent conversations with humans. However, whether verbal communication alone is sufficient or whether nonverbal communication might exert additive effects on emotional conversations remains unknown. We conducted an experiment to examine whether a…

The gain

In an experiment on positive conversations with ChatGPT, participants who talked to it through an android robot with facial mimicry rated their feelings as more positive and showed more smiling-muscle activity than those using a blank display.

What this doesn’t fix

The authors describe the findings as initial evidence, and arousal, corrugator EMG activity and skin conductance level showed no significant effects.

Sources

1 on file
  1. Telematics and Informatics Reportsdoi:10.1016/j.teler.2026.100379
    Peer-reviewed2026-10-12

Cite this record

v1

Truvace Impact Record TRV-2026-2656, v1: “Android embodiment with facial mimicry may enhance emotional responses during conversations with AI agents.” Truvace, 2026-11-12. /record/TRV-2026-2656 (accessed on the day you copy it). sha256 4b61142c0aac0f20…

Change history

1 version

Every change made to this record since it was first published, and why. Nothing has changed since it went up.

  1. Publishedv14b61142c0aac…

    Certified into the record

Check this record hasn’t been altered

Check this record hasn’t been altered
How to check it yourself, without trusting this page

Download any version from /api/record/TRV-2026-2656 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.