Name
Abstract | ||
|---|---|---|
We are witnessing a rising role of mobile computing and social networks to perform all sorts of tasks. This way, social networks like Twitter or Telegram are used for leisure, and they frequently serve as a discussion media for work-related activities.
In this paper, we propose taking advantage of social networks to enable the collaborative creation of models by groups of users. The process is assisted by modelling bots that orchestrate the collaboration and interpret the users' inputs (in natural language) to incrementally build a (meta-)model. The advantages of this modelling approach include ubiquity of use, automation, assistance, natural user interaction, traceability of design decisions, possibility to incorporate coordination protocols, and seamless integration with the user's normal daily usage of social networks.
We present a prototype implementation called SOCIO, able to work over several social networks like Twitter and Telegram, and a preliminary evaluation showing promising results.
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Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ASE.2017.8115683 | ASE |
Keywords | Field | DocType |
Collaborative modelling, meta-modelling, social networks, natural language processing | Mobile computing,Social network,Systems engineering,Computer science,Automation,Human–computer interaction,Natural language,Artificial intelligence,Traceability | Conference |
ISSN | ISBN | Citations |
1527-1366 | 978-1-5386-2684-9 | 4 |
PageRank | References | Authors |
0.48 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sara Pérez-Soler | 1 | 19 | 3.20 |
| Esther Guerra | 2 | 504 | 45.53 |
| Juan de Lara | 3 | 1596 | 132.28 |
| Francisco Jurado | 4 | 66 | 8.10 |