the goal of this study is to investigate the feasibility of integrating wearable sensors and machine learning techniques to detect in real-time the occurrence of challenging behaviours during child-robot interaction.
Our contributions are as follow:
1) Defining an effective annotation to distinguish challenge-
ing behaviours.
2) Investigating the influence of different physiological
signals in the prediction of challenging behaviours.
3) Development of an assistive annotation tool to monitor
the physiological signs, and to visualize the predictions of the developed machine learning algorithms.

Effect of Robot Agents on Teaching against Pseudoscience


**Session Chairs:** Lim, Angelica (Simon Fraser University) and Ferreira, Janderson

Panel 9 - Inclusive HRI - Special Session at RO-MAN 2021

panel

RO-MAN 2021's theme is trustworthiness and cooperation. We chose this term well before the pandemic put the world on edge and added a new reason for us to question our own personal safety when in the company of others. But what about in the company of social robots? What would cause us to trust, or not trust, them? How do we as researchers create that feeling, that critical component of any relationship? With social robots, it is of course largely in our power to design the physical form, the control code and the interface software to maximize trustworthiness, facilitate cooperation and enhance the quality of human-robot interaction. This theme also touches upon people's expectations and perceptions of robots, as well as other social, cognitive and cultural factors that will influence human-robot interactions. We will have a special session/track on this topic, invite targeted submissions and include plenary speakers who are specialist in this area. We sincerely hope that this focus will help enlighten the design-thinking of all of us as we fabricate and program our own various systems.

To access RO-MAN Virtual 2021, [please register here.](https://ro-man2021.org/registration/)

IEEE RO-MAN 2021

RO-MAN 2021's theme is trustworthiness and cooperation. We chose this term well before the pandemic put the world on edge and added a new reason for us to question our own personal safety when in the company of others. But what about in the company of social robots? What would cause us to trust, or not trust, them? How do we as researchers create that feeling, that critical component of any relationship? With social robots, it is of course largely in our power to design the physical form, the control code and the interface software to maximize trustworthiness, facilitate cooperation and enhance the quality of human-robot interaction. 

Ahmad Qadeib Alban

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Effect of Robot Agents on Teaching against Pseudoscience

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