Intelligent implicit interface for wearable items suggestion

Abstract

In daily routine life, people frequently perform computer aided physical activities explicitly shifting from real to virtual world and conversely. In this shift and in order to get some recommendations, people are inquired about personal information. Normally, people do not know how to organize ideas to answer to an automatic inquiry or sometimes, they are reluctant to disclose their own particulars. These issues slow down computer usage to get assistance concerning suggestions about wearable items. We tackle the problem by developing an intelligent interface for helping customers to choose entities like dresses, shoes, and hair style. The system is based on implicit Human Computer Interaction concept and Artificial Intelligence heuristics particularly on knowledge based systems. The developed system gathers customer information like height, weight, waist, skin color, in order to facilitate the selection of daily life commodities. The performance of the system is very encouraging applied for getting suggestions of dress selection for a business man, shoes for professional players, and party hair style for men. © 2010 Springer-Verlag.