[iva] *New Issue* ACM Transactions on Human-Robot Interaction 14(3)

[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 14, Issue 3, June 2025.
https://dl.acm.org/toc/thri/2025/14/3


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SECTION: Regular Papers
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Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap
Sule Tekkesinoglu, Azra Habibovic, Lars Kunze
Abstract: Given the uncertainty surrounding how existing explainability methods for autonomous vehicles (AVs) meet the diverse needs of stakeholders, a thorough investigation is imperative to determine the contexts requiring explanations and suitable interaction ...
DOI: https://doi.org/10.1145/3714478.

Effects of Human-Like Characteristics in Sampling-Based Motion Planning on the Legibility of Robot Arm Motions
Carl Gaebert, Oliver Rehren, Sebastian Jansen, Katharina Jahn, Peter Ohler, Günter Daniel Rey, Ulrike Thomas
Abstract: Conveying the intended goal of a robot arm motion has been shown to increase the quality of human–robot collaboration drastically. To this end, optimization-based approaches have been proposed that optimize the legibility of a robot’s motion. However, ...
DOI: https://doi.org/10.1145/3714475.

From Product to Producer: The Impact of Perceptual Evidence and Robot Embodiment on the Human Assessment of AI Creativity
Niki Pennanen, Simo Linkola, Anna Kantosalo, Nicolas Hiillos, Tomi Männistö, Christian Guckelsberger
Abstract: While creative artificial intelligence (AI) is becoming integral to our lives, we know little about what makes us call AI “creative”. Informed by prior theoretical and empirical work, we investigate how perceiving evidence of a creative act beyond the ...
DOI: https://doi.org/10.1145/3711939.

Improving Human–Robot Collaboration through Augmented Reality and Eye Gaze
Wesley P. Chan, Morgan Crouch, Khoa Hoang, Charlie Chen, Nicole Robinson, Elizabeth Croft
Abstract: When humans work together to complete a joint task, each person builds an internal model of the situation and how it will evolve. Efficient collaboration depends on how these individual models overlap to form a shared mental model among team members; ...
DOI: https://doi.org/10.1145/3716175.

Do You Want Me?: Exploring Differences in Consumer Home Robot Preferences, Perceptions, and Purchase Intent
Natasha Randall, Selma Šabanović
Abstract: While research in human–robot interaction is beginning to focus on the acceptance of domestic robots, there is little research on the potential adoption of these agents. Technology adoption is a complex phenomenon requiring not only positive perceptions ...
DOI: https://doi.org/10.1145/3714476.

Examining the Impact of Robot Norm Violations on Participants’ Trust, Discomfort, Behaviour and Physiological Responses—A Mixed Method Approach
Steven Lawrence, Negin Azizi, Kevin Fan, Melanie Jouaiti, Jesse Hoey, Chrystopher L. Nehaniv, Kerstin Dautenhahn
Abstract: As robots increasingly permeate diverse domains like healthcare, education, service industries and homes, accurately understanding humans’ responses to and behaviour towards robots is crucial. While many human-robot interaction (HRI) studies focus on ...
DOI: https://doi.org/10.1145/3719211.

GoBot: An Autonomous Assistive Robot Using Behavior Trees to Encourage Child Mobility
Ameer Helmi, Emily Scheide, Tze-Hsuan Wang, Samuel W. Logan, Geoffrey A. Hollinger, Naomi T. Fitter
Abstract: In early motor interventions from clinical rehabilitation to physical activity encouragement, one major challenge is maintaining child engagement and motivation. Robots show unique promise for addressing this challenge, but providing robots with new ...
DOI: https://doi.org/10.1145/3719018.

Predicting Human Perceptions of Robot Performance during Navigation Tasks
Qiping Zhang, Nathan Tsoi, Mofeed Nagib, Booyeon Choi, Jie Tan, Hao-Tien Lewis Chiang, Marynel Vázquez
Abstract: Understanding human perceptions of robot performance is crucial for designing socially intelligent robots that can adapt to human expectations. Current approaches often rely on surveys, which can disrupt ongoing human–robot interactions. As an ...
DOI: https://doi.org/10.1145/3719020.

Deception in HRI and Its Implications: A Systematic Review
Raffaella Esposito, Alessandra Rossi, Silvia Rossi
Abstract: Background. People commonly use deception to gain advantages for themselves and their significant ones, such as with children, for educational purposes, or for protecting someone else feelings. As robots increasingly are being used in various human-...
DOI: https://doi.org/10.1145/3721297.

The Role of Drone’s Digital Facial Emotions and Gaze in Shaping Individuals’ Social Proxemics and Interpretation
Robin Bretin, Mohamed Khamis, Emily Cross, Mohammad Obaid
Abstract: The potential for drones to engage with people and find applications in social contexts is often constrained by their mechanical design, leading to concerns and negative associations that significantly affect people’s acceptance of drones in their ...
DOI: https://doi.org/10.1145/3714477.

Improving Human Situational Awareness and Planning Using a Human-Centric Velocity-Obstacle Algorithm
Aakash Bajpai, Alexander Lu, Kevin Choi, Rajan Tayal, Aaron Young, Anirban Mazumdar
Abstract: Human-robot teams in dynamic environments have the potential to leverage robot sensing and intelligence to augment human performance through motion suggestions. More specifically, we examine how humans can use external sensors (fixed or robotic) and a ...
DOI: https://doi.org/10.1145/3719019.

Low-Force Physical Human-Robot Interaction at the Hands Influence Changes to Gait Coordination through Sensorimotor Engagement Instead of Direct Gait Propulsion
Mengnan Wu, Lena H. Ting
Abstract: By influencing human walking through sensorimotor engagement, low-force hand interaction has the potential to improve safety, efficacy, and convenience of gait assistance/rehabilitation and human-robot collaborative tasks. However, low-force physical ...
DOI: https://doi.org/10.1145/3722124.

A Longitudinal Study of Child Wellbeing Assessment via Online Interactions with a Social Robot
Nida Itrat Abbasi, Guy Laban, Tamsin Ford, Peter B. Jones, Hatice Gunes
Abstract: Socially Assistive Robots are studied in different child–robot interaction settings. However, logistical constraints limit accessibility, particularly affecting timely support for mental wellbeing. In this work, we have investigated whether online ...
DOI: https://doi.org/10.1145/3722123.

Evaluating Human-Robot Interfaces for Maneuvering Surgical Laparoscopes using Robotic Scope Assistant Systems
Sofia Basha, Malek Anbatawi, Nihal Abdurahiman, Jhasketan Padhan, Victor M. Baez, Abdulla Al-Ansari, Panagiotis Tsiamyrtzis, Aaron T. Becker, Nikhil V. Navkar
Abstract: Robotic scope assistant systems allow surgeons to adjust the operative field view during surgery by robotically maneuvering laparoscopes. A Human-Robot Interface (HRI) is used for issuing commands to these systems, with an interaction mode mapping these ...
DOI: https://doi.org/10.1145/3722121.

“I Have a Package For Mr. and Mrs. Smith, Can You Point Me to Their House?”—Co-Designing Bystanders’ Interaction with Autonomous Delivery Vehicles
Susanna Krämer, Eyal Ginosar, Marion Koelle, Heiko Müller, Susanne Boll, Jessica Cauchard
Abstract: Small-size autonomous vehicles have reached a level of technological maturity that enables their use as efficient means for goods delivery. Yet, current designs of both ground and aerial vehicles fail to address potential information needs of bystanders: ...
DOI: https://doi.org/10.1145/3724131.

Exploring the Potential of Spherical Robots to Promote Physical Activity at Home: A Pattern Language
Eda Karaosmanoglu, Marco C. Rozendaal, Irene Alcubilla Troughton, Maaike Bleeker, Heike Vallery, Jane Murray Cramm
Abstract: Social robots have become increasingly prominent in the realm of physical activity promotion. However, the technological complexity and primarily anthropomorphic designs of these robots pose challenges for their application in everyday settings. This ...
DOI: https://doi.org/10.1145/3727990.

Long-Term Interactions with Social Robots: Trends, Insights, and Recommendations
Kayla Matheus, Rebecca Ramnauth, Brian Scassellati, Nicole Salomons
Abstract: In the past two decades, the field of social robotics has undergone significant growth, witnessing a surge in long-term human–robot interaction (HRI) studies. This review paper provides an in-depth analysis of 120 long-term HRI studies conducted between ...
DOI: https://doi.org/10.1145/3729539.

The Role of Social Norms in Human–Robot Interaction: A Systematic Review
Steven Lawrence, Melanie Jouaiti, Jesse Hoey, Chrystopher L. Nehaniv, Kerstin Dautenhahn
Abstract: As robots integrate more into daily life, socially aware robots with specific social attributes and behaviors are necessary. This review aims to explore how social norms in Human–Robot Interaction (HRI) impact robot design and human perception. We ...
DOI: https://doi.org/10.1145/3722120.

An Integrated 3D Eye-Gaze Tracking Framework for Assessing Trust in Human–Robot Interaction
Rodrigo Chacón Quesada, Fernando Estévez Casado, Yiannis Demiris
Abstract: We introduce a comprehensive approach to examining the complexities of trust during Human–Robot Interactions (HRIs) through an innovative 3D eye-gaze tracking framework. Trust is a fundamental psychological factor in HRI studies, influencing how humans ...
DOI: https://doi.org/10.1145/3725861.

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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