Title
Evaluating the impact of different virtual characters in product recommendations
Abstract
This paper presents an evaluation of the effect that distinct interface characters could have on the users' perception of their interaction with an ecommerce website. A recommender system has been integrated to the characters' architecture, with the goal of assessing their impact in making personalized recommendations. The characters used to interact with the users had different features such as being a known or an unknown person; being represented by an anthropomorphic figure or not. In spite of these differences, the characters also had a lot of similarities: they used the same language and had the same strategy for recommending products. They also had the same type of graphical representation. An experiment involving 180 students was set up, in which students had to complete a few purchases in an ecommerce website where the virtual characters gave tips and suggested products related to the users' perceived interests. The results of the experiment are presented here, as well as conclusions and direction for future work.
Year
DOI
Venue
2006
10.1145/1298023.1298034
IHC
Keywords
Field
DocType
graphical representation,future work,virtual character,personalized recommendation,anthropomorphic figure,different virtual character,unknown person,distinct interface character,recommender system,different feature,product recommendation,ecommerce website,recommender systems
Recommender system,World Wide Web,Architecture,Computer science,Human–computer interaction,Multimedia,Perception,Spite
Conference
ISBN
Citations 
PageRank 
1-59593-432-4
0
0.34
References 
Authors
20
3
Name
Order
Citations
PageRank
Eliseo Reategui1156.51
Cristiano Fruet200.34
Danilo Marcondes Filho300.34