Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD) 2014
DOI: 10.1109/cscwd.2014.6846923
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Modeling interactions in human-centric wireless sensor networks

Abstract: The recent growth of social networking and sensing applications has enabled people to perform crowd computing. In turn, this activity has opened several opportunities to address people's needs in various application areas, such as tourism, security, entertainment and emergency response. However, the design of these applications has also brought several challenges to software designers. Since users of these systems interact among them in heterogeneous physical scenarios, their interactions should be formally co… Show more

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Cited by 11 publications
(5 citation statements)
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“…This paper has shown the limitations that modeling languages reported in the literature have to represent computer-mediated user interactions in ubiquitous collaborative systems. The most suitable proposals to represent these scenarios seems to be the MCM notation [14] and its extension to address IoT settings [9]. However, both notations were conceived to model collaborative processes in a particular application domain, therefore they are limited to model people-driven processes out of those domains.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…This paper has shown the limitations that modeling languages reported in the literature have to represent computer-mediated user interactions in ubiquitous collaborative systems. The most suitable proposals to represent these scenarios seems to be the MCM notation [14] and its extension to address IoT settings [9]. However, both notations were conceived to model collaborative processes in a particular application domain, therefore they are limited to model people-driven processes out of those domains.…”
Section: Discussionmentioning
confidence: 99%
“…The literature reports various visual notations to represent user interaction and also identify the collaboration supporting services that are potentially required to implement the behavior of these systems [8,9]. Although useful, these languages fall short in terms of their capability to represent the features and participants in a ubiquitous collaboration process.…”
Section: Related Workmentioning
confidence: 99%
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“…Various recent works explore human factors of IoT systems [7], especially the interaction between online and offline social communities. A reference architecture for developing opportunistic IoT systems is proposed in [6].…”
mentioning
confidence: 99%