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Social network swichtboard

Social network swichtboard. UPV Maribor, 17 oct . 2013. DOMOTIC INTERFACE. Commands. APPLIANCES. Recipe execution results. SOCIAL NETWORK. EAHOUKERS. EDB. NETWORK INTELIGENCE. Task specified (natural language). DI. SOCIAL NETWORK. Social player engagement.

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Social network swichtboard

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  1. Social network swichtboard UPV Maribor, 17 oct. 2013

  2. DOMOTIC INTERFACE Commands APPLIANCES Recipe execution results SOCIAL NETWORK EAHOUKERS EDB NETWORK INTELIGENCE

  3. Task specified (natural language) DI SOCIAL NETWORK Social player engagement Task realization feedback Trust feedback EDB Local and ancillary information Reinforcement feedback EAHOUKERS Recipe correction & original recipes Task interpretation Recipe (dialog)

  4. DOMOTIC INTERFACE rec I p e Local information Appliance status SOCIAL NETWORK EDB

  5. SOCIAL NETWORK DI Recipe execution results Appliance status and efficiency measures APPLIANCES Recipe commands EDB

  6. SOCIAL NETWORK EDB New-r e c i p es Task re i nfor c e me nt User -rec I p e User -feeback NETWORK INTELIGENCE

  7. Social network vsEahouker • Mediated by DI ??? • Engagement of the social player • Dialog for recipe acceptance • Task specification • Task interpretation ack • Recipe proposal by NI • Recipe proposal by Eahouker • Recipe ack.

  8. Social Network vs. Eahouker (cont.) • Local information • Ancillary information • Satisfaction dialog • Reception of appliance results • Satisfaction feedback • Lickert scale • Product/task specifics • Trust information

  9. Social network vs. DI • Recipe for appliance • High level description ?? • Appliance follow-up/status • Local information • Consumption • Costs and • Quality of incoming materials and energy

  10. Social Network vs. Appliance • Mediated by DI • Appliance status • Efficiency measures • Results received by eahouker

  11. Social Network vs. NI • Learning dialog • Transfer of task and recipe pairs from the user (training set) • Posing new tasks to NI • Retrieving new recipes from NI • Reinforced learning dialog • Transferring reinforcing information from the user to the NI

  12. Implementation • Current state: • A cloud server space rented • An implementation of Oxwall devoid of “personal” details • A mockup of the eahouker interaction process

  13. Current databases • User profiles (appliances) • Task and recipes • Current interface • User writes down some task • Task is searched in database, corresponding recipe is returned • User can reject, introduce or correct recipe • User gives satisfaction feedback value

  14. Programming • PhP • MySql • Doors open to implementations of resources in other languages

  15. Issues: • Communication through TCP to DI and NI? • Avoiding robots… • Privacy and security • https • Anonymized user interaction • Trust information management • Sharing task and recipes • Sharing ancillary information

  16. Issues (cont.) • Extracting information from the social network • Local common features of users in some city • Connection with SmartSantander • Experiments? • They do not provide access to the network, only data from past (not clear)

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