research-article

A Hitchhiker’s Guide towards Transactive Memory System Modeling in Small Group Interactions

Authors:

Enzo Tartaglione,

Beatrice Biancardi,

Maurizio Mancini,

Giovanna VarniAuthors Info & Claims

ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction

Pages 254 - 262

https://doi.org/10.1145/3461615.3485414

Published: 17 December 2021 Publication History

Abstract

Modeling Transactive Memory System (TMS) over time is an actual challenge of Human-Centered Computing. TMS is a group’s meta-knowledge indicating the attribute of “who knows what”. Conceiving and developing machines able to deal with TMS is a relevant step in the field of Hybrid Intelligence aiming at creating systems where human and artificial teammates cooperate in synergistic fashion. Recently, a TMS dataset has been proposed, where a number of audio and visual automated features and manual annotations are extracted taking inspiration from Social Sciences literature. Is it possible, on top of these, to model relationships between these engineered features and the TMS scores? In this work we first build and discuss a processing pipeline; then we propose four possible classifiers, two of which are artificial neural networks-based. We observe that the largest obstacle towards modeling the target relationships currently lies in the little data availability for training an automatic system. Our purpose, with this work, is to provide hints on how to avoid some common pitfalls to train these systems to learn TMS scores from audio/visual features.

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Cited By

Jackson M(2024)Modeling of Small Groups in Computational Sciences: A Prospecting ReviewSmall Group Research10.1177/1046496424127916456:1(3-31)Online publication date: 27-Sep-2024
https://doi.org/10.1177/10464964241279164
Corbellini NGiraldo JVarni GVolpe G(2023)Few Labels are Enough! Semi-supervised Graph Learning for Social Interaction2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW60793.2023.00329(3052-3060)Online publication date: 2-Oct-2023
https://doi.org/10.1109/ICCVW60793.2023.00329
Corbellini NCeccaldi EVarni GVolpe G(2022)An Exploratory Study on Group Potency Classification from Non-verbal Social BehavioursPattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges10.1007/978-3-031-37660-3_17(240-255)Online publication date: 21-Aug-2022
https://dl.acm.org/doi/10.1007/978-3-031-37660-3_17

Index Terms

A Hitchhiker’s Guide towards Transactive Memory System Modeling in Small Group Interactions
1. Computing methodologies
2. Human-centered computing
  1. Collaborative and social computing
  2. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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Published In

cover image ACM Conferences

ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction

October 2021

418 pages

ISBN:9781450384711

DOI:10.1145/3461615

Editors:
Zakia Hammal
Carnegie Mellon University
,
Carlos Busso
University of Texas at Dallas
,
Catherine Pelachaud
CNRS - ISIR, Sorbonne University
,
Sharon Oviatt
Monash University
,
Albert Ali Salah
Utrecht University and Boğaziçi University
,
Guoying Zhao
University of Oulu

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 December 2021

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ICMI '21

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ICMI '21: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

October 18 - 22, 2021

QC, Montreal, Canada

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Cited By

Jackson M(2024)Modeling of Small Groups in Computational Sciences: A Prospecting ReviewSmall Group Research10.1177/1046496424127916456:1(3-31)Online publication date: 27-Sep-2024
https://doi.org/10.1177/10464964241279164
Corbellini NGiraldo JVarni GVolpe G(2023)Few Labels are Enough! Semi-supervised Graph Learning for Social Interaction2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW60793.2023.00329(3052-3060)Online publication date: 2-Oct-2023
https://doi.org/10.1109/ICCVW60793.2023.00329
Corbellini NCeccaldi EVarni GVolpe G(2022)An Exploratory Study on Group Potency Classification from Non-verbal Social BehavioursPattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges10.1007/978-3-031-37660-3_17(240-255)Online publication date: 21-Aug-2022
https://dl.acm.org/doi/10.1007/978-3-031-37660-3_17

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