Joint Human-Agent Activities: Challenges and Definition

Abstract

When the situation involves artificial and natural agents in the same environment that work together to achieve joint goals we talk about cooperative activities, human-agent teamwork, joint activities, or joint human-agent activities. Although, teamwork has become a widely accepted metaphor for multi-robot/multi-agent cooperation there are several challenges towards making agents ``teammates'' -- some of them are present independently from the teams mixture, whereas others are particularly challenging for the development of human-agent teams. This work presents an overview about the challenges and brings together knowledge from the different involved research areas, further, we provide an attempt to define the term joint human-agent activity in order to motivate a discussion about the necessary elements.

@InCollection{Ahrndt2016d,
  author       = {Sebastian Ahrndt AND Sahin Albayrak},
  title        = {Joint Human-Agent Activities: Challenges and Definition},
  booktitle    = {Multiagent System Technologies},
  year         = {2016},
  editor       = {Matthias Klusch AND Rainer Unland AND Onn Shehory AND Alexander Pokahr AND Sebastian Ahrndt},
  booksubtitle = {14th German Conference, MATES 2016, Klagenfurt, Österreich, September 27-30, 2016. Proceedings},
  series       = {Lecture Notes in Artificial Intelligence},
  number       = {9872},
  publisher    = {Springer International Publishing},
  location     = {Klagenfurt, Österreich},
  pages        = {105--112},
  doi          = {10.1007/978-3-319-45889-2_8},
  url          = {http://link.springer.com/chapter/10.1007/978-3-319-45889-2_8},
  owner        = {ahrndt},
  timestamp    = {2015.09.21},
}
Autoren:
Sebastian Ahrndt, Sahin Albayrak
Kategorie:
Tagungsbeitrag
Jahr:
2016
Ort:
14th German Conference on Multiagent System Technologies (MATES 2016)