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

Autor: Nicholas Mason, Keagan Francis, Hannah Gash, Sherilyn Wilman, Alexa Decker, Adelya Urmanche, Jaclyn Wiener, Jennifer S. Pardo
Rok vydání: 2018
Předmět:
Adult
Male
Linguistics and Language
Sound Spectrography
Time Factors
Adolescent
Sociology and Political Science
Voice Quality
Computer science
Information repository
computer.software_genre
Speech Acoustics
050105 experimental psychology
Language and Linguistics
Task (project management)
Style (sociolinguistics)
Young Adult
030507 speech-language pathology & audiology
03 medical and health sciences
Speech and Hearing
Sex Factors
Speech Production Measurement
Transcription (linguistics)
Humans
Interpersonal Relations
0501 psychology and cognitive sciences
Language
Landmark
Verbal Behavior
business.industry
05 social sciences
General Medicine
Start point
Duration (music)
Dynamics (music)
Speech Perception
Female
Artificial intelligence
Comprehension
0305 other medical science
business
computer
Natural language processing
Zdroj: Language and Speech. 62:378-398
ISSN: 1756-6053
0023-8309
DOI: 10.1177/0023830918775435
Popis: 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.
Databáze: OpenAIRE
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