Chance Discovery by Stimulated Groups of People. Application to Understanding Consumption of Rare Food
Yukio Ohsawa, Hisashi Fukuda · Journal of Contingencies and Crisis Management · 2002
Chance discovery is to become aware of and to explain the significance of a chance, that is, a piece of information about events or situations that is significant for decision making. Sometimes a chance is rare and its significance is unnoticed. This paper proposes a method to merge three keys for chance discovery: (1) communication; (2) imagination and (3) data mining. Applied to the case of meal service, a visualised data mining method KeyGraph is used for discovering unnoticed demands underlying family consumption behaviour. The visualised relations between usual and unusual consumption patterns stimulate the awareness of and the communication among housewives talking in a room. This leads to the discovery of latent family consumption demands and to the proposal of serving meals that have unnoticed significant merits for their families.