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

Author:

Reece Andrew1ORCID,Cooney Gus2ORCID,Bull Peter3,Chung Christine3,Dawson Bryn1ORCID,Fitzpatrick Casey3ORCID,Glazer Tamara3ORCID,Knox Dean2ORCID,Liebscher Alex1ORCID,Marin Sebastian1

Affiliation:

1. BetterUp Inc., San Francisco, CA 94103, USA.

2. University of Pennsylvania, Philadelphia, PA 19104, USA.

3. DrivenData Inc., Berkeley, CA, 94709, USA.

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference113 articles.

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2. N. J. Enfield How We Talk: The Inner Workings of Conversation (Basic Books 2017).

3. M. J. Pickering S. Garrod Understanding Dialogue: Language Use and Social Interaction (Cambridge Univ. Press 2021).

4. H. Sacks E. A. Schegloff G. Jefferson A simplest systematics for the organization of turn-taking for conversation in Studies in the Organization of Conversational Interaction J. Schenkein Ed. (Academic Press 1978) pp. 7–55.

5. M. Tomasello Constructing a Language: A Usage-based Theory of Language Acquisition (Harvard Univ. Press 2003).

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