Name
Abstract | ||
|---|---|---|
Collaboration of smart devices often requires troublesome configuration and management, involving human interventions. In order to reduce these burdens, smart devices should be able to configure and manage themselves in device collaboration, self-understanding high-level information such as social relationship between the owners. We propose a concept called, device sociality, which aims automatic configurations in device collaboration via self-constructing social relationships. Device sociality describes social relationships of devices, which can be identified by analyzing machine-level communication data and human social data. We conducted an initial experiment to show that devices can self-identify their social relationship with minimum human intervention. We verified the result with user survey, providing that devices are able to collaborate autonomously with device sociality. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/WF-IoT.2014.6803202 | WF-IoT |
Keywords | Field | DocType |
smart device collaboration,self-constructing social relationships,social networks,high-level information,device sociality,ubiquitous computing environments,device management,ubiquitous computing,device collaboration,human social data analysis,minimum human intervention,social networking (online),zero-configuration,machine-level communication data analysis,internet of things,object recognition,collaboration,internet,business | World Wide Web,Social relationship,Social network,Computer science,Computer security,Internet of Things,Sociality,Peer to peer computing,Human–computer interaction,Ubiquitous computing,The Internet | Conference |
Citations | PageRank | References |
1 | 0.37 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jang-Ho Choi | 1 | 4 | 2.44 |
| Kyuchang Kang | 2 | 127 | 14.39 |
| Dong-Oh Kang | 3 | 87 | 12.45 |
| Sangkeun Yoo | 4 | 1 | 0.37 |
| Changseok Bae | 5 | 161 | 23.90 |