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lirec_notes [2009-01-06 15:08] davegriffithslirec_notes [2009-01-06 15:12] davegriffiths
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 LIREC aims to establish a multi-faceted theory of artificial long-term companions (including memory, emotions, cognition, communication, learning, etc.), embody this theory in robust and innovative technology and experimentally verify both the theory and technology in real social environments. Whether as robots, social toys or graphical and mobile synthetic characters, interactive and sociable technology is advancing rapidly. However, the social, psychological and cognitive foundations and consequences of such technological artefacts entering our daily lives - at work, or in the home - are less well understood. LIREC aims to establish a multi-faceted theory of artificial long-term companions (including memory, emotions, cognition, communication, learning, etc.), embody this theory in robust and innovative technology and experimentally verify both the theory and technology in real social environments. Whether as robots, social toys or graphical and mobile synthetic characters, interactive and sociable technology is advancing rapidly. However, the social, psychological and cognitive foundations and consequences of such technological artefacts entering our daily lives - at work, or in the home - are less well understood.
  
-==Agent platforms, and migration between them==  +==Agent platforms== 
-An interesting feature of agents which need to build up a long term relationship with their users will moving between different platforms. The platforms currently under investigation are:+ 
 +The platforms currently under consideration for long term companions are:
   * Mobile robots   * Mobile robots
   * Fixed robots   * Fixed robots
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   * Fixed graphical systems   * Fixed graphical systems
  
-This migration between these devices, and how people relate to it, is a core element of the research.+==Migration== 
 +  
 +An interesting feature of the research is migration betwen these platforms. Agents which need to build up a long term relationship with their users will have to switch forms depending on the needs of the user at different times. The migration of an agent between devices, and how people relate to it, is a core element of the research.
  
 ===Scenarios=== ===Scenarios===
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   - Teaching Proxemic preferences - robot learns where to be relative to the user in different situations   - Teaching Proxemic preferences - robot learns where to be relative to the user in different situations
   - Travelling companion - agent migration, to stay with user during home, work, shopping.   - Travelling companion - agent migration, to stay with user during home, work, shopping.
 +
 +===Experiment===
 +
 +All scenarios are to be experimentally tested in public.
  
 ===Architecture=== ===Architecture===
  • lirec_notes.txt
  • Last modified: 2020-06-05 22:30
  • by nik