Paper Info
Title
A study of demographic embodiments of product recommendation agents in electronic commerce
Abstract
Product Recommendation Agents (PRAs) and other web-based decision aids are deployed extensively to provide online shoppers with virtual advising services. While the design of PRA's functional features has received a high degree of attention in academic studies, the social aspects of human-PRA interactions are comparatively less explored. This paper investigates the potential of enhancing users' social experiences of interacting with an anthropomorphic PRA (i.e., an agent with human-like characteristics, such as facial expressions, body gestures, or speech output) by manipulating its demographic embodiments. The two demographic variables assessed are ethnicity and gender. As suggested by similarity-attraction theory and social identity theory, the results of our laboratory experiment reveal that PRAs that match the ethnicity, though not the gender, of their users are perceived as more sociable, more enjoyable, and more useful to interact with than the mismatched ones. More interestingly, the ''matching-up'' effects of ethnicity are more significant among female users than males. Implications for practitioners on how to use an anthropomorphic agent's demographic characteristics to enhance users' interaction experience are also discussed.
Year
DOI
Venue
2010
10.1016/j.ijhcs.2010.05.005
Int. J. Hum.-Comput. Stud.
Keywords
Field
DocType
Electronic commerce,Product recommendation agent,Anthropomorphic interface,Avatar,Ethnicity,Gender,Social presence,Perceived enjoyment,Perceived usefulness
Social relation,Social identity theory,Computer science,Gesture,Human–computer interaction,Facial expression,Ethnic group,Avatar,Decision aids,The Internet
Journal
Volume
Issue
ISSN
68
10
International Journal of Human - Computer Studies
Citations 
PageRank 
References 
36
1.07
54
Authors
2
Name
Order
Citations
PageRank
Lingyun Qiu131815.27
Izak Benbasat22598174.49