University of Birmingham > Talks@bham > Artificial Intelligence and Natural Computation seminars > Analyzing Human Robot Interaction with the iCub robot to detect tutoring situations

Analyzing Human Robot Interaction with the iCub robot to detect tutoring situations

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If you have a question about this talk, please contact Leandro Minku.

The work I will present in my talk is about developing a tutoring spotter, based on knowledge gained from human-robot-, adult-adult- and adult-child-interaction. In the first step, this project focuses on the analysis of tutoring behaviour. The goal is to derive feature sets that are suitable to detect tutoring behaviour of an interaction partner that can be then used to implement a “tutoring spotter”. Multimodal analysis of the collected data at different levels of granularity give insights into different levels of behavioural variability. In the second step of the project, a tutor spotter will be developed and implemented onto a robot system (iCub), where the effect of the robot’s reaction (i.e. signalling attention) upon the detection of tutoring behaviour on the behaviour of the tutor will be analysed in more details and evaluated. In sum, my work tackles the following questions: Are robots tutored like infants? Does embodiment affect tutoring behaviour? How do children of different age contribute to a tutoring interaction ?

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

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