-------- Forwarded Message -------- Subject: [AISWorld] *New Issue* ACM Transactions on Human-Robot Interaction 11(4) December 2022 Date: 27 Nov 2022 23:37:13 -0600 From: young@cs.umanitoba.ca To: aisworld@lists.aisnet.org

============================================ ACM Transactions on Human-Robot Interaction ============================================

We are pleased to announce the publication of Volume 11, Issue 4, December 2022. https://dl.acm.org/toc/thri/2022/11/4

============================================ December 2022 ============================================

The Impact of Route Descriptions on Human Expectations for Robot Navigation Stephanie Rosenthal, Peerat Vichivanives, Elizabeth Carter Abstract: As robots are deployed to work in our environments, we must build appropriate expectations of their behavior so that we can trust them to perform their jobs autonomously as we attend to other tasks. Many types of explanations for robot behavior have been ... DOI: https://doi.org/10.1145/3526104.

Examining Attachment to Robots: Benefits, Challenges, and Alternatives Theresa Law, Meia Chita-Tegmark, Nicholas Rabb, Matthias Scheutz Abstract: Potential applications of robots in private and public human spaces have prompted the design of so-called “social robots” that can interact with humans in social settings and potentially cause humans to attach to the robots. The focus of this article is ... DOI: https://doi.org/10.1145/3526105.

Ergodic Shared Control: Closing the Loop on pHRI Based on Information Encoded in Motion Kathleen Fitzsimons, Todd D. Murphey Abstract: Advances in exoskeletons and robot arms have given us increasing opportunities for providing physical support and meaningful feedback in training and rehabilitation settings. However, the chosen control strategies must support motor learning and provide ... DOI: https://doi.org/10.1145/3526106.

Unified Meaning Representation Format (UMRF) - A Task Description and Execution Formalism for HRI Robert Valner, Selma Wanna, Karl Kruusamäe, Mitch Pryor Abstract: To facilitate continuous development of novel HRI systems, it is beneficial to have tools that enable quick adjustments, flexibility, or re-invention of the human interfaces when system requirements change due to updates in the state-of-the-art, ... DOI: https://doi.org/10.1145/3522580.

Toward Personalized Affect-Aware Socially Assistive Robot Tutors for Long-Term Interventions with Children with Autism Zhonghao Shi, Thomas R. Groechel, Shomik Jain, Kourtney Chima, Ognjen (Oggi) Rudovic, Maja J. Matarić Abstract: Affect-aware socially assistive robotics (SAR) has shown great potential for augmenting interventions for children with autism spectrum disorders (ASD). However, current SAR cannot yet perceive the unique and diverse set of atypical cognitive-affective ... DOI: https://doi.org/10.1145/3526111.

Here’s What I’ve Learned: Asking Questions that Reveal Reward Learning Soheil Habibian, Ananth Jonnavittula, Dylan P. Losey Abstract: Robots can learn from humans by asking questions. In these questions, the robot demonstrates a few different behaviors and asks the human for their favorite. But how should robots choose which questions to ask? Today’s robots optimize for informative ... DOI: https://doi.org/10.1145/3526107.

Mental State Attribution to Robots: A Systematic Review of Conceptions, Methods, and Findings Sam Thellman, Maartje de Graaf, Tom Ziemke Abstract: The topic of mental state attribution to robots has been approached by researchers from a variety of disciplines, including psychology, neuroscience, computer science, and philosophy. As a consequence, the empirical studies that have been conducted so far ... DOI: https://doi.org/10.1145/3526112.

Neurophysiological and Behavioral Differences in Human-Multiagent Tasks: An EEG Network Perspective Gregory Bales, Zhaodan Kong Abstract: Effective human-multiagent teams will incorporate the cognitive skills of the human with the autonomous capabilities of the multiagent group to maximize task performance. However, producing a seamless fusion requires a greater understanding of the human’s ... DOI: https://doi.org/10.1145/3527928.

Can Artificial Intelligence Make Art?: Folk Intuitions as to whether AI-driven Robots Can Be Viewed as Artists and Produce Art Elzė Sigutė Mikalonytė, Markus Kneer Abstract: In two experiments (total N = 693), we explored whether people are willing to consider paintings made by AI-driven robots as art, and robots as artists. Across the two experiments, we manipulated three factors: (i) agent type (AI-driven robot vs. human ... DOI: https://doi.org/10.1145/3530875.

Personal Space in Human-Robot Interaction at Work: Effect of Room Size and Working Memory Load Benedikt Leichtmann, Albrecht Lottermoser, Julia Berger, Verena Nitsch Abstract: A recent literature review on personal space in human-robot interaction identified a research gap for the influence of contextual factors. At the same time, psychological research on interpersonal distancing and theoretical considerations based on ... DOI: https://doi.org/10.1145/3536167.

Participatory Design, Development, and Testing of Assistive Health Robots with Older Adults: An International Four-year Project Norina Gasteiger, Ho Seok Ahn, Christopher Lee, Jongyoon Lim, Bruce A. MacDonald, Geon Ha Kim, Elizabeth Broadbent Abstract: Participatory design includes stakeholders in the development of products intended to solve real-life challenges. Involving end users in the design of robots is vital for developing effective, useful, acceptable and user-friendly products that meet ... DOI: https://doi.org/10.1145/3533726.

Socially Assistive Robots as Storytellers that Elicit Empathy Micol Spitale, Sarah Okamoto, Mahima Gupta, Hao Xi, Maja J. Matarić Abstract: Empathy is the ability to share someone else’s feelings or experiences; it influences how people interact and relate. Socially assistive robots (SAR) are a promising means of conveying and eliciting empathy toward facilitating human-robot interaction. ... DOI: https://doi.org/10.1145/3538409.

A Human Factors Approach to Validating Driver Models for Interaction-aware Automated Vehicles Olger Siebinga, Arkady Zgonnikov, David Abbink Abstract: A major challenge for autonomous vehicles is interacting with other traffic participants safely and smoothly. A promising approach to handle such traffic interactions is equipping autonomous vehicles with interaction-aware controllers (IACs). These ... DOI: https://doi.org/10.1145/3538705.

============================================ 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

Odest Chadwicke Jenkins Selma Sabanovic ACM THRI Editors-in-Chief

James Young, University of Manitoba ACM THRI Managing Editor _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org