[iva] *New Issue* ACM Transactions on Human-Robot Interaction 13(2) June 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 2, June 2024.
https://dl.acm.org/toc/thri/2024/13/2


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Tutorials and Surveys
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A Survey on Dialogue Management in Human-robot Interaction
Merle M. Reimann, Florian A. Kunneman, Catharine Oertel, Koen V. Hindriks
Abstract: As social robots see increasing deployment within the general public, improving the interaction with those robots is essential. Spoken language offers an intuitive interface for the human–robot interaction (HRI), with dialogue management (DM) being a key ...
DOI: https://doi.org/10.1145/3648605.

Charting User Experience in Physical Human–Robot Interaction
Hasti Seifi, Arpit Bhatia, Kasper Hornbæk
Abstract: Robots increasingly interact with humans through touch, where people are touching or being touched by robots. Yet, little is known about how such interactions shape a user’s experience. To inform future work in this area, we conduct a systematic review of ...
DOI: https://doi.org/10.1145/3659058.


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Articles
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Impact of Haptic Feedback in High Latency Teleoperation for Space Applications
Joe Louca, Kerstin Eder, John Vrublevskis, Antonia Tzemanaki
Abstract: Remote manipulation is a key enabler for upcoming space activities such as in-orbit servicing and manufacture (IOSM). However, due to the large distances involved, these systems encounter unavoidable signal delays, which can lead to poor performance and ...
DOI: https://doi.org/10.1145/3651993.

Children's Acceptance of a Domestic Social Robot: How It Evolves over Time
Chiara De Jong, Jochen Peter, Rinaldo Kühne, Alex Barco
Abstract: Little is known about children's long-term acceptance of social robots; whether different types of users exist; and what reasons children have not to use a robot. Moreover, the literature is inconclusive about how the measurement of children's robot ...
DOI: https://doi.org/10.1145/3638066.

RoSI: A Model for Predicting Robot Social Influence
Hadas Erel, Marynel Vázquez, Sarah Sebo, Nicole Salomons, Sarah Gillet, Brian Scassellati
Abstract: A wide range of studies in Human-Robot Interaction (HRI) has shown that robots can influence the social behavior of humans. This phenomenon is commonly explained by the Media Equation. Fundamental to this theory is the idea that when faced with technology ...
DOI: https://doi.org/10.1145/3641515.

Robots as Mental Well-being Coaches: Design and Ethical Recommendations
Minja Axelsson, Micol Spitale, Hatice Gunes
Abstract: The last decade has shown a growing interest in robots as well-being coaches. However, insightful guidelines for the design of robots as coaches to promote mental well-being have not yet been proposed. This article details design and ethical ...
DOI: https://doi.org/10.1145/3643457.

Augmenting Human Teams with Robots in Knowledge Work Settings: Insights from the Literature
Yuqing Ren, Jeffrey Clement
Abstract: Recent developments in large language models open doors for Artificial Intelligence and robots to augment knowledge workers and teams in a variety of domains, such as customer service, data science, legal work, and software development. In this article, ...
DOI: https://doi.org/10.1145/3649884.

Towards the Legibility of Multi-robot Systems
Beatrice Capelli, María Santos, Lorenzo Sabattini
Abstract: Communication is crucial for human-robot collaborative tasks. In this context, legibility studies movement as the means of implicit communication between robotic systems and a human observer. This concept has been explored mostly for manipulators and ...
DOI: https://doi.org/10.1145/3647984.


SARI: Shared Autonomy across Repeated Interaction
Ananth Jonnavittula, Shaunak A. Mehta, Dylan P. Losey
Abstract: Assistive robot arms try to help their users perform everyday tasks. One way robots can provide this assistance is shared autonomy. Within shared autonomy, both the human and robot maintain control over the robot’s motion: as the robot becomes confident ...
DOI: https://doi.org/10.1145/3651994.

Batch Active Learning of Reward Functions from Human Preferences
Erdem Biyik, Nima Anari, Dorsa Sadigh
Abstract: Data generation and labeling are often expensive in robot learning. Preference-based learning is a concept that enables reliable labeling by querying users with preference questions. Active querying methods are commonly employed in preference-based ...
DOI: https://doi.org/10.1145/3649885.

Do Humans Trust Robots that Violate Moral Trust?
Zahra Rezaei Khavas, Monish Reddy Kotturu, S. Reza Ahmadzadeh, Paul Robinette
Abstract: The increasing use of robots in social applications requires further research on human-robot trust. The research on human-robot trust needs to go beyond the conventional definition that mainly focuses on how human-robot relations are influenced by robot ...
DOI: https://doi.org/10.1145/3651992.

Qualitative Research of Robot-Helping Behaviors in a Field Trial
Sachie Yamada, Takayuki Kanda, Kanako Tomita
Abstract: During the previous field study with a robot and its interaction with mall visitors, we observed a surprising event during which a leaflet-distributing robot was abused, although it was subsequently helped by one of its previous abusers. After analyzing ...
DOI: https://doi.org/10.1145/3640009.

Designing Socially Assistive Robots Exploring Israeli and German Designers’ Perceptions
Ela Liberman-Pincu, Oliver Korn, Jonas Grund, Elmer D. van Grondelle, Tal Oron-Gilad
Abstract: Socially assistive robots (SARs) are becoming more prevalent in everyday life, emphasizing the need to make them socially acceptable and aligned with users’ expectations. Robots’ appearance impacts users’ behaviors and attitudes toward them. Therefore, ...
DOI: https://doi.org/10.1145/3657646.

Performance-Aware Trust Modeling within a Human–Multi-Robot Collaboration Setting
Md Khurram Monir Rabby, Mubbashar Altaf Khan, Steven Xiaochun Jiang, Ali Karimoddini
Abstract: In this study, a novel time-driven mathematical model for trust is developed considering human–multi-robot performance for a Human–Robot Collaboration (HRC) framework. For this purpose, a model is developed to quantify human performance considering the ...
DOI: https://doi.org/10.1145/3660648.

Multi-Dimensional Evaluation of an Augmented Reality Head-Mounted Display User Interface for Controlling Legged Manipulators
Rodrigo Chacón Quesada, Yiannis Demiris
Abstract: Controlling assistive robots can be challenging for some users, especially those lacking relevant experience. Augmented Reality (AR) User Interfaces (UIs) have the potential to facilitate this task. Although extensive research regarding legged ...
DOI: https://doi.org/10.1145/3660649.

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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