A task-oriented approach to support spontaneous interactions among users in Urban Computing environments
Angel Jimenez-Molina, Byungseok Kang, Jun‐Sung Kim, In‐Young Ko · 2010
Urban Computing is an extension of Ubiquitous Computing. It shares common requirements with its predecessor, like context awareness, user centricity, composability and dynamicity. However, a challenging issue of urban computing is to provide available services to diverse, spontaneous social groups. A major requirement for this challenge is spontaneity, which is about supporting social groups by coordinating available services during runtime, without having a previous definition of applications into templates or other predefined descriptions. The approach of task oriented computing realizes these requirements. It is about representing users' goals in tasks. A task is composed of unit-tasks (basic configurations of abstract services), which are selected based on `placeness'. Placeness consists of the aspects that characterize urban environments and social groups: spatial, temporal, social and personal aspects. The focus of this paper is twofold: first, to provide a semantically-based unit-task description model; second, to propose a unit-task selection algorithm based on placeness on top of the model. The appropriateness of the task selection algorithm is illustrated by a demostration scenario in our campus.