A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Predicting shoppers' interest from social interactions using sociometric sensors
2009
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09
Marketing research has longed for better ways to measure consumer behavior. In this paper, we explore using sociometric data to study social behaviors of group shoppers. We hypothesize that the interaction patterns among shoppers will convey their interest level, predicting probability of purchase. To verify our hypotheses, we observed co-habiting couples shopping for furniture. We have verified that there are sensible differences in customer behavior depending on their interest level. When
doi:10.1145/1520340.1520692
dblp:conf/chi/KimCBB09
fatcat:jubdxljd7rhhfimztd6zgc2tku