Abstract
The EU H2020 ENRICHME project is aimed at developing a socially assistive robot that can adapt its behavior based on the profile of the individual it interacts with. In this paper, we investigate how the ENRICHME project web-based News Application can be adapted based on the sensory profile and personality of the individual. The interaction between the robot and the individual takes place at three different distances (70 cm, 1.2 m, and 2 m). The robot can use visual (showing or not showing the news on its touchscreen) and auditory (reading the news out loud) stimuli during the interaction. We looked at different physiological parameters (blinking, heart rate, respiration rate, and GSR) and we can report that we found statistical results that show that the physiological parameters vary based on interaction distance, condition, sensory profile, and personality.
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Acknowledgement
This work was funded and done in the context of the EU H2020 ENRICHME project, Grant Agreement No: 643691.
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Agrigoroaie, R., Ciocirlan, S.D., Tapus, A. (2017). News Application Adaptation Based on User Sensory Profile. In: Kheddar, A., et al. Social Robotics. ICSR 2017. Lecture Notes in Computer Science(), vol 10652. Springer, Cham. https://doi.org/10.1007/978-3-319-70022-9_70
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DOI: https://doi.org/10.1007/978-3-319-70022-9_70
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