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Development and testing of a multimodal acquisition platform for human-robot interaction affective studies
Nicole Lazzeri, Daniele Mazzei, Danilo De Rossi
Human-Robot Interaction (HRI) studies have recently received increasing attention in various fields, from academic communities to engineering firms and the media. Many researchers have been focusing on the development of tools to evaluate the...
The robot management system: a framework for conducting human-robot interaction studies through crowdsourcing
Russell Toris, David Kent, Sonia Chernova
Human-Robot Interaction (HRI) is a rapidly expanding field of study that focuses on allowing non-roboticist users to naturally and effectively interact with robots. The importance of conducting extensive user studies has become a fundamental...
Walking together: side-by-side walking model for an interacting robot
Yoichi Morales, Takayuki Kanda, Norihiro Hagita
This paper presents a computational model for side-by-side walking within human-robot interaction (HRI). In this work we address the importance of future motion utility (motion anticipation) of two walking partners. Previous studies only...
Toward a framework for levels of robot autonomy in human-robot interaction
Jenay M. Beer, Arthur D. Fisk, Wendy A. Rogers
Autonomy is a critical construct related to human-robot interaction (HRI) and varies widely across robot platforms. Levels of robot autonomy (LORA), ranging from teleoperation to fully autonomous systems, influence the way in which humans and...
Designing adaptive roles for socially assistive robots: a new method to reduce technological determinism and role stereotypes
Andreas Huber, Lara Lammer, Astrid Weiss, Markus Vincze
Social roles are a design option for robots that behave in accordance with user expectations. We believe that robots have to exceed stereotypical role behaviors and dynamically provide roles that suit the people's living conditions in order to...