%0 Conference Paper %1 KameiShinozawaEtAl10ICMI %A Kamei, Koji %A Shinozawa, Kazuhiko %A Ikeda, Tetsushi %A Utsumi, Akira %A Miyashita, Takahiro %A Hagita, Norihiro %B Proceedings of the 12th International Conference on Multimodal Interfaces and the 7th Workshop on Machine Learning for Multimodal Interfaces (IMCI-MLMI 2010), Beijing, China %D 2010 %K v1205 acm paper ai interface multimodal dialog user robot interaction rfid product information zzz.spm %P 19:1--19:8 %R 10.1145/1891903.1891929 %T Recommendation from Robots in a Real-world Retail Shop %X By applying network robot technologies, recommendation methods from E-Commerce are incorporated in a retail shop in the real world. We constructed an experimental shop environment where communication robots recommend specific items to the customers according to their purchasing behavior as observed by networked sensors. A recommendation scenario is implemented with three robots and investigated through an experiment. The results indicate that the participants stayed longer in front of the shelves when the communication robots tried to interact with them and were influenced to carry out similar purchasing behaviors as those observed earlier. Other results suggest that the probability of customers' zone transition can be used to anticipate their purchasing behavior.

@inproceedings{KameiShinozawaEtAl10ICMI, abstract = {By applying network robot technologies, recommendation methods from E-Commerce are incorporated in a retail shop in the real world. We constructed an experimental shop environment where communication robots recommend specific items to the customers according to their purchasing behavior as observed by networked sensors. A recommendation scenario is implemented with three robots and investigated through an experiment. The results indicate that the participants stayed longer in front of the shelves when the communication robots tried to interact with them and were influenced to carry out similar purchasing behaviors as those observed earlier. Other results suggest that the probability of customers' zone transition can be used to anticipate their purchasing behavior.}, added-at = {2012-05-30T10:48:46.000+0200}, author = {Kamei, Koji and Shinozawa, Kazuhiko and Ikeda, Tetsushi and Utsumi, Akira and Miyashita, Takahiro and Hagita, Norihiro}, biburl = {https://www.bibsonomy.org/bibtex/24609367ac73292a5c99ad2531ac06d25/flint63}, booktitle = {Proceedings of the 12th International Conference on Multimodal Interfaces and the 7th Workshop on Machine Learning for Multimodal Interfaces (IMCI-MLMI 2010), Beijing, China}, doi = {10.1145/1891903.1891929}, file = {ACM Digital Library:2010/KameiShinozawaEtAL10ICMI.pdf:PDF}, groups = {public}, interhash = {8ac80e98aa1de3e044089009ee9fdf21}, intrahash = {4609367ac73292a5c99ad2531ac06d25}, keywords = {v1205 acm paper ai interface multimodal dialog user robot interaction rfid product information zzz.spm}, pages = {19:1--19:8}, timestamp = {2018-04-16T11:47:14.000+0200}, title = {Recommendation from Robots in a Real-world Retail Shop}, username = {flint63}, year = 2010 }