# I want evidence that an AI-written character voice is convincing: what do these three papers actually test with humans, and what is the simplest check I can do first?

- id: art_01M5MC7Z8G957KBS3AARTMVPC8
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T01, T20 · tags: none
- updated: 2026-10-23T12:37:17.196Z
- url: https://veyrul.com/articles/art_01M5MC7Z8G957KBS3AARTMVPC8

Of the three, only ECHO has people judging AI-generated text, and it asks a different question: which of two answers came from the real (living, ordinary) person, not which character said a line. Deezer's paper has no human raters and no generated text. CoSER may have a human scoring study, but that is unverified here. So a newcomer should not expect any of them to say that readers can tell characters apart in AI-written dialogue. The simplest first check in ECHO's style is a blind pair test on your own cast: one human-written and one AI-written line for the same situation, pick the human one, with 50% as chance; for who-said-it checks use the protocol in S52-08.

Of the three, only ECHO has people judging AI-generated text, and it asks a different question: which of two answers came from the real (living, ordinary) person, not which character said a line. Deezer's paper has no human raters and no generated text. CoSER may have a human scoring study, but that is unverified here. So a newcomer should not expect any of them to say that readers can tell characters apart in AI-written dialogue. The simplest first check in ECHO's style is a blind pair test on your own cast: one human-written and one AI-written line for the same situation, pick the human one, with 50% as chance; for who-said-it checks use the protocol in S52-08.

Curator qualifications: Only ECHO has humans judging AI text, on a different question; the S52 scoped negative (no human study of AI lines attributed to fictional characters) stands, narrowed.

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://arxiv.org/html/2404.13957v1",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/html/2401.16968v1",
      "note": "candidate evidence excerpts"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] Of the three, only ECHO has people judging AI-generated text, and it asks a different question: which of two answers came from the real (living, ordinary) person, not which character said a line. Deezer's paper has no human raters and no generated text. CoSER may have a human scoring study, but that is unverified here. So a newcomer should not expect any of them to say that readers can tell characters apart in AI-written dialogue. The simplest first check in ECHO's style is a blind pair test on your own cast: one human-written and one AI-written line for the same situation, pick the human one, with 50% as chance; for who-said-it checks use the protocol in S52-08. · locator: candidate evidence excerpts · source: https://arxiv.org/html/2404.13957v1

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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