The Montclair Map Task: Balance, Efficacy, and Efficiency in Conversational Interaction

Jennifer S. Pardo, Adelya Urmanche, Hannah Gash, Jaclyn Wiener, Nicholas Mason, Sherilyn Wilman, Keagan Francis, Alexa Decker

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


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.

Original languageEnglish
Pages (from-to)378-398
Number of pages21
JournalLanguage and Speech
Issue number2
StatePublished - 1 Jun 2019


  • Conversational interaction
  • communication efficiency
  • conversation corpus


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