Approaches for assessing communication in human-autonomy teams

AL Baker, SM Fitzhugh, L Huang, DE Forster… - Human-Intelligent …, 2021 - Springer
Abstract Evaluation of team communication can provide critical insights into team dynamics,
cohesion, trust, and performance on joint tasks. Although many communication-based …

[HTML][HTML] It's alignment all the way down, but not all the way up: Speakers align on some features but not others within a dialogue

R Ostrand, E Chodroff - Journal of phonetics, 2021 - Elsevier
During conversation, speakers modulate characteristics of their production to match their
interlocutors' characteristics. This behavior is known as alignment. Speakers align at many …

Investigating the relationship between math literacy and linguistic synchrony in online mathematical discussions through large‐scale data analytics

Y Song, W **ng, C Li, X Tian… - British Journal of …, 2024 - Wiley Online Library
Previous literature has associated math literacy with linguistic factors such as verbal ability
and phonological skills. However, few studies have investigated linguistic synchrony, shown …

Human‐AI collaboration: Designing artificial agents to facilitate socially shared regulation among learners

J Edwards, A Nguyen, J Lämsä… - British Journal of …, 2024 - Wiley Online Library
Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to
successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real …

A survey of challenges and methods in the computational modeling of multi-party dialog

A Ganesh, M Palmer, K Kann - … of the 5th Workshop on NLP for …, 2023 - aclanthology.org
Advances in conversational AI systems, powered in particular by large language models,
have facilitated rapid progress in understanding and generating dialog. Typically, task …

Learners' Linguistic Alignment and Physiological Synchrony: Identifying Trigger Events that Invite Socially Shared Regulation of Learning

J Lämsä, J Edwards, E Haataja… - Journal of Learning …, 2024 - learning-analytics.info
The theory of socially shared regulation of learning (SSRL) suggests that successful
collaborative groups can identify and respond to trigger events stemming from cognitive or …

Probabilistic modeling of interpersonal coordination processes

P Soares, A Pyarelal, M Krishnaswamy… - … on Machine Learning, 2024 - openreview.net
We develop a novel probabilistic model for interpersonal coordination as a latent
phenomenon explaining statistical temporal influence between multiple components in a …

Distinct behaviors in convergence across measures

UC Priva, C Sanker - Proceedings of the Annual Meeting of the …, 2018 - escholarship.org
We present data on convergence in the Switchboard corpus, ad-dressing differences across
measures and across speakers. Wemeasured convergence in four characteristics, to test …

Relationship between auditory and semantic entrainment using Deep Neural Networks (DNN)

J Kejriwal, Š Beňuš - arxiv preprint arxiv:2312.16599, 2023 - arxiv.org
The tendency of people to engage in similar, matching, or synchronized behaviour when
interacting is known as entrainment. Many studies examined linguistic (syntactic and lexical …

[HTML][HTML] Measuring and implementing lexical alignment: A systematic literature review

S Srivastava, SD Wentzel, A Catala… - Computer Speech & …, 2024 - Elsevier
Lexical Alignment is a phenomenon often found in human-human conversations, where the
interlocutors converge during a conversation to use the same terms and phrases for the …