Evidence map›Paper›PMID 37000886›Full record

ArticleScience advances2023

The CANDOR corpus: Insights from a large multimodal dataset of naturalistic conversation.

Andrew Reece, Gus Cooney, Peter Bull, Christine Chung, Bryn Dawson, Casey Fitzpatrick, Tamara Glazer, Dean Knox, Alex Liebscher, Sebastian Marin

Registry-linked trialAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07664631 (Effects of Stimulant Medications in PTSD), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07664631 phase1not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effects of Stimulant Medications in PTSD

TypeinterventionalSponsorUniversity of ChicagoRan2026 to 2027Enrolled40ConditionsAdderall, PTSD, Post Traumatic Stress DisorderArmsPlacebo, Adderall
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Abstract word dropout and cross-speaker misalignment of word concreteness are features of conversation in aging.Cortex; a journal devoted to the study of the nervous system and behavior · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Self-views converge during enjoyable conversations.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. The Emerging Science of Interacting Minds.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
    Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Andrew ReeceBetterUp Inc., San Francisco, CA 94103, USA.ORCID 0000-0002-8400-2235
Gus CooneyUniversity of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-4082-7515
Peter BullDrivenData Inc., Berkeley, CA, 94709, USA.
Christine ChungDrivenData Inc., Berkeley, CA, 94709, USA.
Bryn DawsonBetterUp Inc., San Francisco, CA 94103, USA.ORCID 0000-0003-4572-526X
Casey FitzpatrickDrivenData Inc., Berkeley, CA, 94709, USA.ORCID 0000-0003-2614-0047
Tamara GlazerDrivenData Inc., Berkeley, CA, 94709, USA.ORCID 0000-0002-7012-8312
Dean KnoxUniversity of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-1945-7938
Alex LiebscherBetterUp Inc., San Francisco, CA 94103, USA.ORCID 0000-0001-9871-8130
Sebastian MarinBetterUp Inc., San Francisco, CA 94103, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People spend a substantial portion of their lives engaged in conversation, and yet, our scientific understanding of conversation is still in its infancy. Here, we introduce a large, novel, and multimodal corpus of 1656 conversations recorded in spoken English. This 7+ million word, 850-hour corpus totals more than 1 terabyte of audio, video, and transcripts, with moment-to-moment measures of vocal, facial, and semantic expression, together with an extensive survey of speakers' postconversation reflections. By taking advantage of the considerable scope of the corpus, we explore many examples of how this large-scale public dataset may catalyze future research, particularly across disciplinary boundaries, as scholars from a variety of fields appear increasingly interested in the study of conversation.

Indexed as

CommunicationVoiceHumans

Identifiers

PMID37000886
PMCPMC10065445

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.