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Recommendation Effects of a Social Robot for Advertisement-Use Context in a Shopping Mall

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Abstract

We developed a coupon-giving robot system for a shopping mall to explore possible applications using social robots in daily environments, particularly for advertising. The system provided information through conversations with people. The robot was semi-autonomous, which means that it was partly controlled by a human operator, to cope with the difficulty of speech recognition in real environments. We conducted two field trials to investigate two kinds of effectiveness related to recommendations: the presence of a robot and different conversation schemas. Although a robot can strongly attract people with its presence and interaction, it remains unknown whether it can increase the effects of advertisements in real environments. Our field trial results show that a small robot increased the number of people who printed coupons more than a normal-sized robot. The number of people who printed coupons also increased when the robot asked visitors to freely select from all coupon candidates or to listen to its recommendation.

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Acknowledgements

We thank the staff of the Asia and Pacific Trade Center Co., Ltd. for their kind cooperation. This research was supported by the Ministry of Internal Affairs and Communications of Japan.

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Correspondence to Masahiro Shiomi.

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Shiomi, M., Shinozawa, K., Nakagawa, Y. et al. Recommendation Effects of a Social Robot for Advertisement-Use Context in a Shopping Mall. Int J of Soc Robotics 5, 251–262 (2013). https://doi.org/10.1007/s12369-013-0180-4

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  • DOI: https://doi.org/10.1007/s12369-013-0180-4

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