Model Transfer for Event tracking as Transcript Understanding for Videos of Small Group Interaction
Year: 2022
Type: other
Abstract: Videos of group interactions contain a wealth of information beyond the information directly communicated in a transcript of the discussion. Tracking who has participated throughout an extended interaction and what each of their trajectories has been in relation to one another is the foundation for joint activity understanding, though it comes with some unique challenges in videos of tightly coupled group work. Motivated by insights into the properties of such scenarios, including group composition and the properties of task-oriented, goal-directed tasks, we present a successful proof-of-concept. In particular, we present a transfer experiment to a dyadic robot construction task, an ablation study, and a qualitative analysis.
Source: Underline Science Inc.
DOI: 10.48448/7w8j-hh28
Authors: International Committee for Computational Linguistics 2022, Agarwal, Sumit, Rose, Carolyn, Vitiello, Rosanna
Institution: Carnegie Mellon University
Language: English
Subfield: Language and Linguistics
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6948250290
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