Human-computer cloud for decision support in tourism

Tourism is one of the most intensively developing economy sectors. Today, in this sector decision support is more important than ever. The up-to-date decision supports systems use a wide range of technologies based on information processing by both machines and humans. This paper demonstrates application of the human-machine concept as a new architectural approach to development of decision support systems for tourism. The proposed approach enables to combine two contrast perspectives on decision support in the tourism sector: the tourist view and the destination management organization view. Typical decision support tasks for tourism are distinguished. Then, these tasks are mapped on a multilevel cloud service architecture that is proposed in the paper. Three service/resource interaction scenarios illustrate the proposed architecture from the perspective of architectural scenarios implementation.