Abstract
The aim of the project SOCIAL is to explore possibilities to facilitate spontaneous and informal communication in spatially distributed groups by exploiting ambient intelligence and smart environments. Spontaneous and informal communication has a strong impact on the productivity, social identity, and wellbeing of work groups. The spatial distance between peers plays a key role in successfully establishing and maintaining such communication. In co-located teams, spontaneous communication occurs daily: People occasionally meet on office floors, at the coffee corner, or have lunch together. Today, due to globalization we often encounter distributed work settings that impede spontaneous communication between co-workers, as teams are distributed over branch offices located in different cities and countries. We propose to approach this problem by (1) detecting situations with the potential for spontaneous informal communication, (2) representing and raising awareness for these situations appropriately, and (3) enabling users to engage seamlessly in spontaneous communication spanning spatially separated locations. In this paper we focus on the second aspect. A pilot study is described with results on combining various interaction modalities in order to raise awareness for communication. In addition, we describe a formal representation for ambient intelligence incorporating situational context and the system itself.
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Notes
- 1.
http://opencv.org/ (visited: 03/19/2015).
- 2.
http://ravl.sourceforge.net/ (visited: 03/19/2015).
- 3.
http://shark-project.sourceforge.net/ (visited: 03/19/2015).
- 4.
We define only the set of binary relations, due to understandability. However, this can be changed to any arity of relation without influence on the remaining specification.
- 5.
In general, usage of \(\diamond [t_i,t_j]\) is possible, but would lead to multiple interpretations of a single knowledge base.
- 6.
Currently only brute-force model-checking is applied, however, we intend to investigate the use of existing computational reasoners to address scalability.
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Acknowledgments
We acknowledge German Research Foundation (DFG) funding for project SOCIAL (FR 806/15-1 | BO 1645/12-1). We thank the four anonymous reviewers for their thoughtful and constructive comments.
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van de Ven, J., Anastasiou, D., Dylla, F., Boll, S., Freksa, C. (2015). The SOCIAL Project. In: De Ruyter, B., Kameas, A., Chatzimisios, P., Mavrommati, I. (eds) Ambient Intelligence. AmI 2015. Lecture Notes in Computer Science(), vol 9425. Springer, Cham. https://doi.org/10.1007/978-3-319-26005-1_12
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