Korea University of Technology and Education Hongyeon Kim Things That Twitter: Social Networks and the Internet of Things Matthias Kranz, Luis Roalter, Florian Michahelles 2010

 In this paper,  Authors investigate on the potential of combining social and technical networks to collaboratively provide services.  In the Internet of Things (IoT),  Things talk and exchange information.  Socio-technical network.  Distributed sensor-actor environments.  Humans and technical systems. Abstract. Data & Knowledge Engineering Lab.1

 World: 1/7, Korea: 1/5 Social network. Data & Knowledge Engineering Lab.2

 The idea of the IoT.  Linking digital information to a network and there by relating digital information to real world physical items.  Bleecker[1]:  As more smart, mobile, sensing ‘Things’ are attached to the Internet, their presence and participation and agency can be felt in our online lives (2 nd Life).  “If the social web (IoT) greatly impacted our social lives, how will an Internet of Things be felt across our lived experiences? ” Socio-Technical Networks. Data & Knowledge Engineering Lab.3 [1] Bleecker, J., “The Internet of Things: What Happens When 1 st Life & 2 nd Life Meet Up?”, 2006

 Bleecker’s Focus.  What such a social web might look like when network connected ‘Things’ participate.  Our Focus.  What the technical systems can themselves participate in socio-technical networks. Socio-Technical Networks. Data & Knowledge Engineering Lab.4

 Technological networks.  Distributed wireless sensor networks.  They share data to accomplish dedicated tasks by exchanging, assessing and processing information.  Motivations.  Networked objects exchange data among themselves.  This data is invisible for human users.  There is a plentitude of information. Socio-Technical Networks. Data & Knowledge Engineering Lab.5

 Twitter (link).link  Post the events from selected sensors to Twitter.  Listen for Tweets themselves from devices.  Robot Operation System (ROS).  Services with defined request response messages.  Topics where data exchanged via a publish/subscribe architecture. Cognitive office. Data & Knowledge Engineering Lab.6

 Sensors.  Capacitive sensing,RFID.  Skype tangible user interface. Cognitive office. Data & Knowledge Engineering Lab.7 T1 T2

 MediaCup.  Temperature of cup (hot or cold),  Cup is not used, Someone drinks,  Someone plays with the cup, Location.  MediaCup-Net (link).link CognitiveMug. Data & Knowledge Engineering Lab.8

 CognitiveMug.  Location: RFID in a shelf, the dish washer or on the user’s desk, on his coffee mat. CognitiveMug. Data & Knowledge Engineering Lab.9

 CognitiveMug mat.  Usage (drinking) patterns.  The presence information of mug. CognitiveMug. Data & Knowledge Engineering Lab.10

 Botanicalls (link) (twitter)linktwitter  Koubachi (link)link  Auto-cleaning whiteboard (link1 link2).link1link2 Perception-Cognition-Action Loops. Data & Knowledge Engineering Lab.11

 The convergence of social and technical networks.  The borders between real worlds and virtual worlds ⇒ vanish. Implication of Socio-Technical Networks. Data & Knowledge Engineering Lab.12

 A social network not only connecting humans to each other but also things to human.  CognitiveOffice.  It maybe applied in the field of independent living and smart home environments. Conclusions. Data & Knowledge Engineering Lab.13