[iva] *New Issue* ACM Transactions on Human-Robot Interaction 10(1) February 2021

young at cs.umanitoba.ca young at cs.umanitoba.ca
Sat Mar 13 17:26:32 CET 2021


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ACM Transactions on Human-Robot Interaction
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We are pleased to announce the publication of Volume 10, Issue 1, February 2021.
https://dl.acm.org/toc/thri/2021/10/1

Twitter: @acmthri, https://twitter.com/acmthri

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February 2021
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===Editorial===

Where to Next? The Impact of COVID-19 on Human-Robot Interaction Research
David Feil-Seifer, Kerstin S. Haring, Silvia Rossi, Alan R. Wagner, Tom Williams
Abstract: The COVID-19 pandemic will have a profound and long-lasting impact on the entire scientific endeavor. Scientists already are adapting research programs to adapt to changes in what is prioritized—and what is possible; educators are changing the way that ...
DOI: https://doi.org/10.1145/3405450.


===Tutorial===

A Primer for Conducting Experiments in Human–Robot Interaction
Guy Hoffman, Xuan Zhao
Abstract: We provide guidelines for planning, executing, analyzing, and reporting hypothesis-driven experiments in Human–Robot Interaction (HRI). The intended audience are researchers in the field of HRI who are not trained in empirical research but who are ...
DOI: https://doi.org/10.1145/3412374.

Video: https://twitter.com/acmthri/status/1370545813869490178


===Perspectives on Tutorial===

Effect Confirmed, Patient Dead: A Commentary on Hoffman & Zhao’s Primer for Conducting Experiments in HRI
Kerstin Fischer
Abstract: This article is a commentary on Hoffman & Zhao’s “A Primer for Conducting Experiments in Human-robot Interaction.” I argue that a too-narrow view of HRI methodology fails to address the dynamic systems properties of interaction. Furthermore, the focus ...
DOI: https://doi.org/10.1145/3439714.

The Complexity of Human Social Interactions Calls for Mixed Methods in HRI: Comment on “A Primer for Conducting Experiments in Human-robot Interaction,” by G. Hoffman and X. Zhao
Johanna Seibt, Christina Vestergaard, Malene F. Damholdt
Abstract: In this research note, we offer a comment on the “A Primer for Conducting Experiments in Human-robot Interaction,” by G. Hoffman and X. Zhao, suggesting that due to the complexity of human social reality quantitative methods should be integrated into a ...
DOI: https://doi.org/10.1145/3439715.

The Power of Theory
J. Gregory Trafton, Paula Raymond, Sangeet Khemlani
DOI: https://doi.org/10.1145/3439716.


===Regular Articles===

Robot-Assisted Tower Construction—A Method to Study the Impact of a Robot’s Allocation Behavior on Interpersonal Dynamics and Collaboration in Groups
Malte F. Jung, Dominic Difranzo, Solace Shen, Brett Stoll, Houston Claure, Austin Lawrence
Abstract: Research on human-robot collaboration or human-robot teaming, has focused predominantly on understanding and enabling collaboration between a single robot and a single human. Extending human-robot collaboration research beyond the dyad, raises novel ...
DOI: https://doi.org/10.1145/3394287.

Friend or Foe? Understanding Assembly Workers’ Acceptance of Human-robot Collaboration
Antonia Meissner, Angelika Trübswetter, Antonia S. Conti-Kufner, Jonas Schmidtler
Abstract: Due to rising demands on productivity and flexibility, assembly processes are currently experiencing a substantial transformation. Workstations where humans and robots work closely together are becoming increasingly popular, as they provide major ...
DOI: https://doi.org/10.1145/3399433.

Usability Studies of an Egocentric Vision-Based Robotic Wheelchair
Mohammed Kutbi, Xiaoxue Du, Yizhe Chang, Bo Sun, Nikolaos Agadakos, Haoxiang Li, Gang Hua, Philippos Mordohai
Abstract: Motivated by the need to improve the quality of life for the elderly and disabled individuals who rely on wheelchairs for mobility, and who may have limited or no hand functionality at all, we propose an egocentric computer vision based co-robot ...
DOI: https://doi.org/10.1145/3399434.

Learning to Engage with Interactive Systems: A Field Study on Deep Reinforcement Learning in a Public Museum
Lingheng Meng, Daiwei Lin, Adam Francey, Rob Gorbet, Philip Beesley, Dana Kulić
Abstract: Physical agents that can autonomously generate engaging, life-like behavior will lead to more responsive and user-friendly robots and other autonomous systems. Although many advances have been made for one-to-one interactions in well-controlled settings,...
DOI: https://doi.org/10.1145/3408876.

Making Appearances: How Robots Should Approach People
Michiel Joosse, Manja Lohse, Niels Van Berkel, Aziez Sardar, Vanessa Evers
Abstract: To prepare for a future in which robots are more commonplace, it is important to know what robot behaviors people find socially normative. Previous work suggests that for robots to be accepted by people, the robot should adhere to the prevalent social ...
DOI: https://doi.org/10.1145/3385121.

Designing Personas for Expressive Robots: Personality in the New Breed of Moving, Speaking, and Colorful Social Home Robots
Steve Whittaker, Yvonne Rogers, Elena Petrovskaya, Hongbin Zhuang
Abstract: Imbuing robots with personality has been shown to be an effective design approach in HRI, promoting user trust and acceptance. We explore personality design in a non-anthropomorphic voice-assisted home robot. Our design approach developed three distinct ...
DOI: https://doi.org/10.1145/3424153.


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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

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

James Young, University of Manitoba
ACM THRI Managing Editor


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