| Literature DB >> 29857788 |
Jennifer S Pardo1, Adelya Urmanche1, Hannah Gash1, Jaclyn Wiener1, Nicholas Mason1, Sherilyn Wilman1, Keagan Francis1, Alexa Decker1.
Abstract
This paper introduces a conversational speech corpus collected during the completion of a map-matching task that is available for research purposes via the Montclair State University Digital Commons Data Repository. The Montclair Map Task is a new, role-neutral conversational task that involves paired iconic maps with labeled landmarks and a path drawn from a start point, around various landmarks, to a finish mark. One advantage of this task-oriented corpus is the ability to derive independent objective measures of task performance for both members of a conversational pair that can be related to aspects of communicative style. A total of 96 native English speakers completed the task in 16 same-sex female, 16 same-sex male, and 16 mixed-sex pairings. Conversations averaged 32 minutes in duration, yielding approximately 217,000 words. The transcription protocol delineates events such as speaking turns, inter-turn intervals, landmark phrases, fillers, pauses, overlaps, and backchannels, making this corpus a useful tool for investigating dynamics of conversational interaction. Analyses of communication efficacy and efficiency reveal that male pairs of talkers were less efficient than female and mixed-sex pairs with respect to partner map-matching task performance.Keywords: Conversational interaction; communication efficiency; conversation corpus
Mesh:
Year: 2018 PMID: 29857788 DOI: 10.1177/0023830918775435
Source DB: PubMed Journal: Lang Speech ISSN: 0023-8309 Impact factor: 1.500