# Data dictionary: `data/audio_context_study/`

Follow-up study: does the audio–text difference survive when the
conversation history is heard rather than read? In the main study the
history was shown as text even in the audio condition. Here the history
and the current query are played as audio before the two responses. The
responses are the main study's Kokoro `af_heart` clips.

| Slug (file suffix) | History rendering | Analyzed raters | Label in the paper |
|---|---|---:|---|
| `audiocontext_onevoice` | one voice (`af_heart`) for both speakers, with an on-screen speaker indicator | 22 | B1 |
| `audiocontext` | two voices: user turns `am_michael`, assistant turns `af_heart` | 23 | B2 |

- **Stimuli:** 30 prompts that have conversation history
  (`stimuli/audio_context_study/prompts.csv`). 15 of them overlap with
  the voice study.
- **Session:** each participant rated 15 trials plus one attention
  check, about 47 minutes.
- **Coverage:** 9–14 raters per clip.
- **Ethics and pay:** same IRB protocol, Prolific recruitment (US
  residents), consent flow and pay rate as the main study.
- **Pseudonyms:** `AC1-###` (one-voice) and `AC2-###` (two-voice),
  numbered in assignment order. These are different people from the
  main study and the voice study.

Results built from this folder: the audio-context ablation in Appendix H
and Tables 13–18 (see `analysis/README.md`).

## Files

Each table exists once per slug: `<table>_audiocontext_onevoice.csv`
(B1) and `<table>_audiocontext.csv` (B2). The schemas match
`data/voice_study/`:

| Table | Contents |
|---|---|
| `long_<slug>_raw.csv` | every rated clip, attention checks included; same columns as `long_voice_raw.csv` |
| `long_<slug>_normalized.csv` | analysis input, with the same normalization columns as `long_voice_normalized.csv` |
| `participants_<slug>.csv` | one row per participant record, same columns as `participants_voice.csv`, with demographics blank for records with `Analyzed` = False. `assignedTrialIDs` lists PromptIDs, and Arm is blank for records never assigned |
| `justifications_<slug>.csv` | optional free-text justifications, manually reviewed before release (102 for B1, 100 for B2) |
| `trial_durations_<slug>.csv` | time on each trial (`TaskDurationMs`), used for the B1 duration split |

Two differences from the voice study:
- `Arm` is `audio_context_onevoice` or `audio_context`.
- The attention check (PromptID `attention_0`) plays clips
  `37_0_0.mp3` / `37_0_1.mp3`, where the voice study plays
  `attention_0_0.mp3` / `attention_0_1.mp3`. In both studies, clip `_0`
  is the coherent response and `_1` the nonsensical one.

No synthetic ratings were collected for these arms.

## Provenance

Built with `analysis/01_data_prep/04_convert_followup_json_to_csv.py`
from the two studies' Firestore exports and anonymized as described in
`data/voice_study/README.md`.