Abstract
The presence of a robot in our everyday life can generate both positive and negative effects on us. While performing a difficult task, the presence of a robot can generate a negative effect on the performance and it can also increase the stress and anxiety levels. In order to minimize these undesired effects, we propose the use of user’s motivation, based on the Regulatory Focus Theory. We analyze the effects of using Regulatory oriented strategies in a robot speech, when giving a person the instructions of how to perform a Stroop Test. We found evidence that matching the Chronic Regulatory state of the participants with the Regulatory oriented strategy of the robot improves the user’s performance, and a mismatch leads to an increase of cognitive load and stress in the participants.
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Acknowledgment
The first author thanks to the Mexican Council of Science and Technology for the grant CONACYT-French Government (no. 382035). This work has been partially funded by EU Horizon2020 ENRICHME project (no. 643691C).
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Cruz-Maya, A., Agrigoroaie, R., Tapus, A. (2017). Improving User’s Performance by Motivation: Matching Robot Interaction Strategy with User’s Regulatory State. 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_46
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DOI: https://doi.org/10.1007/978-3-319-70022-9_46
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