[iva] *New Issue* ACM Transactions on Human-Robot Interaction 13(4) December 2024

[young at cs.umanitoba.ca]

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ACM Transactions on Human-Robot Interaction
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We are pleased to announce the publication of Volume 13, Issue 4, December 2024.
https://dl.acm.org/toc/thri/2024/13/4


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December 2024
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A Survey of Multimodal Perception Methods for Human–Robot Interaction in Social Environments
John A. Duncan, Farshid Alambeigi, Mitchell W. Pryor
Abstract: Human–robot interaction (HRI) in human social environments (HSEs) poses unique challenges for robot perception systems, which must combine asynchronous, heterogeneous data streams in real time. Multimodal perception systems are well-suited for HRI in HSEs ...
DOI: https://doi.org/10.1145/3657030.

Body Movement Mirroring and Synchrony in Human–Robot Interaction
Darja Stoeva, Andreas Kriegler, Margrit Gelautz
Abstract: This review article provides an overview of papers that have studied body movement mirroring and synchrony within the field of human-robot interaction. The papers included in this review cover system studies, which focus on evaluating the technical ...
DOI: https://doi.org/10.1145/3682074.

Enabling Social Robots to Perceive and Join Socially Interacting Groups Using F-formation: A Comprehensive Overview
Hrishav Bakul Barua, Theint Haythi Mg, Pradip Pramanick, Chayan Sarkar
Abstract: Social robots in our daily surroundings, like personal guides, waiter robots, home helpers, assistive robots, and telepresence/teleoperation robots, are increasing day by day. Their usability and acceptability largely depend on their explicit and implicit ...
DOI: https://doi.org/10.1145/3682072.

What is Proactive Human-Robot Interaction? - A Review of a Progressive Field and Its Definitions
Marike Koch van Den broek, Thomas B. Moeslund
Abstract: During the past 15 years, an increasing amount of works have investigated proactive robotic behavior in relation to Human–Robot Interaction (HRI). The works engage with a variety of research topics and technical challenges. In this article, a review of ...
DOI: https://doi.org/10.1145/3650117.

Classification of Co-Manipulation Modus with Human-Human Teams for Future Application to Human-Robot Systems
Seth Freeman, Shaden Moss, John L. Salmon, Marc D. Killpack
Abstract: Despite the existence of robots that can physically lift heavy loads, robots that can collaborate with people to move heavy objects are not readily available. This article makes progress toward effective human-robot co-manipulation by studying 30 human-...
DOI: https://doi.org/10.1145/3659059.

Perceptions of a Robot That Interleaves Tasks for Multiple Users
Elizabeth J. Carter, Peerat Vichivanives, Ruijia Xing, Laura M. Hiatt, Stephanie Rosenthal
Abstract: When robots have multiple tasks to perform, they must determine the order in which to complete them. Interleaving tasks is efficient for the robot trying to finish its to-do list, but it may be less satisfying for a human whose request was delayed in ...
DOI: https://doi.org/10.1145/3663486.

A Human-Centered View of Continual Learning: Understanding Interactions, Teaching Patterns, and Perceptions of Human Users Toward a Continual Learning Robot in Repeated Interactions
Ali Ayub, Zachary De Francesco, Jainish Mehta, Khaled Yaakoub Agha, Patrick Holthaus, Chrystopher L. Nehaniv, Kerstin Dautenhahn
Abstract: Continual learning (CL) has emerged as an important avenue of research in recent years, at the intersection of Machine Learning (ML) and Human–Robot Interaction (HRI), to allow robots to continually learn in their environments over long-term interactions ...
DOI: https://doi.org/10.1145/3659110.

Generating Pattern-Based Conventions for Predictable Planning in Human–Robot Collaboration
Clare Lohrmann, Maria Stull, Alessandro Roncone, Bradley Hayes
Abstract: For humans to effectively work with robots, they must be able to predict the actions and behaviors of their robot teammates rather than merely react to them. While there are existing techniques enabling robots to adapt to human behavior, there is a ...
DOI: https://doi.org/10.1145/3659061.

Balancing Human Likeness in Social Robots: Impact on Children’s Lexical Alignment and Self-disclosure for Trust Assessment
Natalia Calvo-Barajas, Anastasia Akkuzu, Ginevra Castellano
Abstract: While there is evidence that human-like characteristics in robots could benefit child-robot interaction in many ways, open questions remain about the appropriate degree of human likeness that should be implemented in robots to avoid adverse effects on ...
DOI: https://doi.org/10.1145/3659062.

Longitudinal Study of Mobile Telepresence Robots in Older Adults’ Homes: Uses, Social Connection, and Comfort with Technology
Jennifer M. Rheman, Rune P. Baggett, Martin Simecek, Marlena R. Fraune, Katherine M. Tsui
Abstract: Mobile telepresence robots can help reduce loneliness by facilitating people to visit each other and have more social presence than visiting via video or audio calls. However, using new technology can be challenging for many older adults. In this article, ...
DOI: https://doi.org/10.1145/3674956.

LIMIT: Learning Interfaces to Maximize Information Transfer
Benjamin A. Christie, Dylan P. Losey
Abstract: Robots can use auditory, visual, or haptic interfaces to convey information to human users. The way these interfaces select signals is typically pre-defined by the designer: for instance, a haptic wristband might vibrate when the robot is moving and ...
DOI: https://doi.org/10.1145/3675758.

Field Trial of a Queue-Managing Security Guard Robot
Sachi Edirisinghe, Satoru Satake, Yuyi Liu, Takayuki Kanda
Abstract: We developed a security guard robot that is specifically designed to manage queues of people and conducted a field trial at an actual public event to assess its effectiveness. However, the acceptance of robot instructions or admonishments poses challenges ...
DOI: https://doi.org/10.1145/3680292.

Converging Measures and an Emergent Model: A Meta-Analysis of Human-Machine Trust Questionnaires
Yosef S. Razin, Karen M. Feigh
Abstract: Trust is crucial for technological acceptance, continued usage, and teamwork. However, human-robot trust, and human-machine trust more generally, suffer from terminological disagreement and construct proliferation. By comparing, mapping, and analyzing ...
DOI: https://doi.org/10.1145/3677614.

Understanding the Interaction between Delivery Robots and Other Road and Sidewalk Users: A Study of User-generated Online Videos
Xinyan Yu, Marius Hoggenmüller, Tram Thi Minh Tran, Yiyuan Wang, Martin Tomitsch
Abstract: The deployment of autonomous delivery robots in urban environments presents unique challenges in navigating complex traffic conditions and interacting with diverse road and sidewalk users. Effective communication between robots and road and sidewalk users ...
DOI: https://doi.org/10.1145/3677615.

Influence of Simulation and Interactivity on Human Perceptions of a Robot During Navigation Tasks
Nathan Tsoi, Rachel Sterneck, Xuan Zhao, Marynel Vázquez
Abstract: In Human–Robot Interaction, researchers typically utilize in-person studies to collect subjective perceptions of a robot. In addition, videos of interactions and interactive simulations (where participants control an avatar that interacts with a robot in ...
DOI: https://doi.org/10.1145/3675784.

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ACM THRI welcomes contributions from across HRI and Robotics. For details on the journal, information for authors, and upcoming Special Issues, please visit the ACM THRI website: http://thri.acm.org

Iolanda Leite, KTH Royal Institute of Technology
James E. Young, University of Manitoba
Editors-in-Chief, ACM Transactions on Human-Robot Interaction