The Hcrc Map Task Corpus

1991/10/01 by Anne H. Anderson, Miles Bader, Ellen Gurman Bard +11 · 13 citations
Arts and Humanities · Computer Science · #Discourse Analysis in Language Studies #Language, Discourse, Communication Strategies #Speech and dialogue systems

paper · doi:10.1177/002383099103400404

openalex publication_date 1991/10/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/25

Abstract

This paper describes a corpus of unscripted, task-oriented dialogues which has been designed, digitally recorded, and transcribed to support the study of spontaneous speech on many levels. The corpus uses the Map Task (Brown, Anderson, Yule, and Shillcock, 1983) in which speakers must collaborate verbally to reproduce on one participant's map a route printed on the other's. In all, the corpus includes four conversations from each of 64 young adults and manipulates the following variables: familiarity of speakers, eye contact between speakers, matching between landmarks on the participants' maps, opportunities for contrastive stress, and phonological characteristics of landmark names. The motivations for the design are set out and basic corpus statistics are presented.

Citations

• Introducing information in dialogues: forms of introduction chosen by young speakers and the responses elicited from young listeners

Cited by

• Grounded Misunderstandings in Asymmetric Dialogue: A Perspectivist Annotation Scheme for MapTask
• Latent-IM: Latent Interaction Management for Speech LLMs
• Strategies of Code-switching in Human-Machine Dialogs
• Mapping Instructions to Actions in 3D Environments with Visual Goal\n Prediction
• Trajectories of interbrain synchrony during teamwork: links with team composition and performance
• A Cross-cultural Corpus of Annotated Verbal and Nonverbal Behaviors in\n Receptionist Encounters
• MDC-R: The Minecraft Dialogue Corpus with Reference
• Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech
• A Survey of Available Corpora for Building Data-Driven Dialogue Systems
• Executing Instructions in Situated Collaborative Interactions
• CASPER: A Large Scale Spontaneous Speech Dataset
• Visual Cues Enhance Predictive Turn-Taking for Two-Party Human Interaction
• A Corpus-Based Investigation of Definite Description Use

Related

• The Spot the Difference corpus: a multi-modal corpus of spontaneous task oriented spoken interactions
• DiPCo -- Dinner Party Corpus
• Advancing an Interdisciplinary Science of Conversation: Insights from a Large Multimodal Corpus of Human Speech
• An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving
• ART: The Alternating Reading Task Corpus for Speech Entrainment and Imitation