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James Young <[log in to unmask]>
Fri, 3 Jan 2020 23:54:02 +0000
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ACM Transactions on Human-Robot Interaction

We are pleased to announce the publication of Volume 8, Issue 4, December 2019.

Regular Issue

Robot Expressive Motions: A Survey of Generation and Evaluation Methods
Gentiane Venture, Dana Kuliæ
Abstract: Robots that have different forms and capabilities are used in a wide variety of situations; however, one common point to all robots interacting with humans is their ability to communicate with them. In addition to verbal communication or purely ...

Special Issue on Representation Learning for Human and Robot Cognition

Editorial: Representation Learning in HRI
Amir Aly, Odest Chadwicke Jenkins, Selma Sabanovic

Using Event Representations to Generate Robot Semantics
Peter Gärdenfors
Abstract: Most semantic models employed in human-robot interactions concern how a robot can understand commands, but in this article the aim is to present a framework that allows dialogic interaction. The key idea is to use events as the fundamental structures ...

The Impact of Different Levels of Autonomy and Training on Operators’ Drone Control Strategies
Jin Zhou, Haibei Zhu, Minwoo Kim, Mary L. Cummings
Abstract: Unmanned Aerial Vehicles (UAVs), also known as drones, have extensive applications in civilian rescue and military surveillance realms. A common drone control scheme among such applications is human supervisory control, in which human operators remotely ...

Robots Learning to Say “No”: Prohibition and Rejective Mechanisms in Acquisition of Linguistic Negation
Frank Förster, Joe Saunders, Hagen Lehmann, Chrystopher L. Nehaniv
Abstract: “No” is one of the first ten words used by children and embodies the first form of linguistic negation. Despite its early occurrence, the details of its acquisition remain largely unknown. The circumstance that “no” cannot be construed as a label for ...

Neural-network-based Memory for a Social Robot: Learning a Memory Model of Human Behavior from Data
Malcolm Doering, Takayuki Kanda, Hiroshi Ishiguro
Abstract: Many recent studies have shown that behaviors and interaction logic for social robots can be learned automatically from natural examples of human-human interaction by machine learning algorithms, with minimal input from human designers [1--4]. In this ...

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:

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

James Young, University of Manitoba
ACM THRI Managing Editor
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