Paper Info
Title
Recommendation from robots in a real-world retail shop
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.
Year
DOI
Venue
2010
10.1145/1891903.1891929
ICMI-MLMI
Keywords
Field
DocType
similar purchasing behavior,communication robot,real world,retail shop,purchasing behavior,recommendation method,networked sensor,recommendation scenario,real-world retail shop,network robot technology,experimental shop environment,e commerce,persuasive technology
Persuasive technology,Shop (environment),Computer science,Human–computer interaction,Purchasing,Robot
Conference
Citations 
PageRank 
References 
16
0.87
8
Authors
6
Name
Order
Citations
PageRank
Koji Kamei118519.01
Kazuhiko Shinozawa234331.97
Tetsushi Ikeda3959.94
akira utsumi429039.43
Takahiro Miyashita540941.40
Norihiro Hagita62877259.10