Evolving Framework for Building Companionship Among Human and Assistive Systems

  • Vikas Luthra
  • Arvind Sethia
  • Sanjay Ghosh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9733)


The recent progress in artificial intelligence is allowing assistive systems like the voice-based assistant, virtual agents to become more personalized and adaptable. The role of these systems is also shifting from being a mere assistant to a person-al companion. However ‘personal companionship’ being a subjective term lies open to interpretation, thus posing a challenge for the creators of these assistive systems. This study is an attempt to address this challenge with a user-centric approach. Based on insights gathered from an activity based method called forced photo elicitation techniques with 25 users, we evolved Human Machine Companionship Framework, as a reference tool for designing effective personalized connections between assistive systems and its user. We describe each of the essential behavioural traits that a companion should exhibit and their evolution with time and information gained. Lastly, we establish the use of this companionship framework by discussing its application in case of the social robots.


Companionship Personalization Elicitation techniques Assistive systems Human-Human interaction Human-Computer interaction 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Samsung R&D InstituteBangaloreIndia

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