skip to main content
10.1145/3125739.3125753acmconferencesArticle/Chapter ViewAbstractPublication PageshaiConference Proceedingsconference-collections
research-article

From Tools Towards Cooperative Assistants

Authors Info & Claims
Published:27 October 2017Publication History

ABSTRACT

Endowing assistant systems with more autonomy establishes the transition from a human-controlled tool towards a self-directed agent capable of own decisions and goals. In this concept paper we suggest to perform the design of such an assistant agent according to principles of cooperativity. We first review definitions of cooperation between animals, humans and machines and then discuss advantages of cooperation also for a human-machine interaction system. We concentrate on the important roles of adaptivity and responsibility within the interaction. We argue that main benefits of a cooperative design are alleviation of typical automation issues like controllability, complacency, trust, and greater flexibility of the combined human-machine system in tasks with high variability.

References

  1. R Axelrod and WD Hamilton. 1981. The evolution of cooperation. Science 211, 4489 (1981), 1390--1396. Google ScholarGoogle ScholarCross RefCross Ref
  2. Klaus Bengler, Markus Zimmermann, Dino Bortot, Martin Kienle, and Daniel Damböck. 2012. Interaction principles for cooperative human-machine systems. it-Information Technology 54, 4 (2012), 157--164.Google ScholarGoogle Scholar
  3. Christophe Boesch and Hedwige Boesch. 1989. Hunting behavior of wild chimpanzees in the Tai National Park. American journal of physical anthropology 78, 4 (1989), 547--573. Google ScholarGoogle ScholarCross RefCross Ref
  4. Robert Boyd and Peter J Richerson. 2009. Culture and the evolution of human cooperation. Philosophical Transactions of the Royal Society B:Biological Sciences 364, 1533 (2009), 3281--3288. Google ScholarGoogle ScholarCross RefCross Ref
  5. Jeffrey M. Bradshaw, Robert R. Hoffman, Matthew Johnson, and David D. Woods. 2013. The Seven Deadly Myths of 'Autonomous Systems'. IEEE Intelligent Systems 27, 2 (2013), 43--51.Google ScholarGoogle Scholar
  6. Michael E Bratman. 1992. Shared cooperative activity. The philosophical review 101, 2 (1992), 327--341.Google ScholarGoogle Scholar
  7. Ingar Brinck and Peter Gärdenfors. 2003. Co--operation and communication in apes and humans. Mind & Language 18, 5 (2003), 484--501. Google ScholarGoogle ScholarCross RefCross Ref
  8. Bernhard Brunner, Gerd Hirzinger, Klaus Landzettel, and Johann Heindl. 1993. Multisensory shared autonomy and tele-sensor-programming-key issues in the space robot technology experiment ROTEX. In Intelligent Robots and Systems' 93, IROS'93. Proceedings of the 1993 IEEE/RSJ International Conference on, Vol. 3. IEEE, 2123--2139. Google ScholarGoogle ScholarCross RefCross Ref
  9. Klaus Christoffersen and David D Woods. 2002. How to make automated systems team players. Advances in human performance and cognitive engineering research 2 (2002), 1--12.Google ScholarGoogle Scholar
  10. Jean-Michel Hoc. 2000. From human - machine interaction to human - machine cooperation. Ergonomics 43, 7 (2000), 833--843. Google ScholarGoogle ScholarCross RefCross Ref
  11. Jean-Michel Hoc. 2001. Towards a cognitive approach to human--machine cooperation in dynamic situations. International journal of human-computer studies 54, 4 (2001), 509--540. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Jean-Michel Hoc. 2007. Human and automation:a matter of cooperation.. In HUMAN 07, A. Pruski (Ed.). Université de Metz, Timimoun, Algeria, 277--285.Google ScholarGoogle Scholar
  13. Jean-Michel Hoc and Serge Debernard. 2002. Respective demands of task and function allocation on human-machine co-operation design:a psychological approach. Connection science 14, 4 (2002), 283--295. Google ScholarGoogle ScholarCross RefCross Ref
  14. Erik Hollnagel and David D Woods. 1983. Cognitive systems engineering:New wine in new bottles. International Journal of Man-Machine Studies 18, 6 (1983), 583--600. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Stefan Kopp, Lars Gesellensetter, Nicole C. Krämer, and Ipke Wachsmuth. 2005. Lecture Notes in Computer Science. Springer-Verlag, London, UK, UK, Chapter A Conversational Agent As Museum Guide:Design and Evaluation of a Real-world Application, 329--343.Google ScholarGoogle Scholar
  16. Abraham H Maslow. 1966. The Psychology of Science:A Reconnaissance. (1966).Google ScholarGoogle Scholar
  17. Henrike Moll and Michael Tomasello. 2007. Cooperation and human cognition:the Vygotskian intelligence hypothesis. Philosophical Transactions of the Royal Society of London B:Biological Sciences 362, 1480 (2007), 639--648. Google ScholarGoogle ScholarCross RefCross Ref
  18. Bilge Mutlu, Allison Terrell, and Chien-Ming Huang. 2013. Coordination mechanisms in human-robot collaboration. In Proc. of the Workshop on Collaborative Manipulation, 8th ACM/IEEE Int. Conf. on Human-Robot Interaction.Google ScholarGoogle Scholar
  19. Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, and Siddhartha Srinivasa. 2017. Human-Robot Mutual Adaptation in Shared Autonomy. Proc. Conf. on Human Robot Interaction, Vienna (2017).Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Martin A Nowak. 2006. Five rules for the evolution of cooperation. Science 314, 5805 (2006), 1560--1563.Google ScholarGoogle ScholarCross RefCross Ref
  21. Martin A. Nowak and Karl Sigmund. 1998. Evolution of indirect reciprocity by image scoring. Nature 393, 6685 (1998), 573--577. Google ScholarGoogle ScholarCross RefCross Ref
  22. Karthik Panchanathan and Robert Boyd. 2003. A tale of two defectors:the importance of standing for evolution of indirect reciprocity. Journal of theoretical biology 224, 1 (2003), 115--126. Google ScholarGoogle ScholarCross RefCross Ref
  23. Raja Parasuraman and Victor Riley. 1997. Humans and automation:Use, misuse, disuse, abuse. Human Factors 39, 2 (1997), 230--253. Google ScholarGoogle ScholarCross RefCross Ref
  24. Jean Piaget. 1965. Études sociologiques. Vol. 32. Librairie Droz.Google ScholarGoogle Scholar
  25. Friederike Range and Zsó?a Virányi. 2015. Tracking the evolutionary origins of dog-human cooperation:the 'Canine Cooperation Hypothesis'. Frontiers in Psychology 5 (2015), 1582.Google ScholarGoogle ScholarCross RefCross Ref
  26. Sverker Runeson. 1977. On the possibility of 'smart' perceptual mechanisms. Scandinavian journal of psychology 18, 1 (1977), 172--179. Google ScholarGoogle ScholarCross RefCross Ref
  27. Malte Schilling, Stefan Kopp, Sven Wachsmuth, Britta Wrede, Helge Ritter, Thomas Brox, Bernhard Nebel, and Wolfram Burgard. 2016. Towards A Multidimensional Perspective on Shared Autonomy. In 2016 AAAI Fall Symposium Series.Google ScholarGoogle Scholar
  28. Natalie Sebanz, Harold Bekkering, and Günther Knoblich. 2006. Joint action:bodies and minds moving together. Trends in cognitive sciences 10, 2 (2006), 70--76. Google ScholarGoogle ScholarCross RefCross Ref
  29. Stephen V Shepherd. 2010. Following gaze:gaze-following behavior as a window into social cognition. Frontiers in integrative neuroscience 4 (2010), 5.Google ScholarGoogle Scholar
  30. Robert L Trivers. 1971. The evolution of reciprocal altruism. The Quarterly review of biology 46, 1 (1971), 35--57.Google ScholarGoogle Scholar
  31. Ipke Wachsmuth. 2015. Embodied Cooperative Systems:From Tool to Partnership. Springer International Publishing, Cham, 63--79.Google ScholarGoogle Scholar
  32. Lingyun Xiao and Feng Gao. 2010. A comprehensive review of the development of adaptive cruise control systems. Vehicle System Dynamics 48, 10 (2010), 1167--1192. Google ScholarGoogle ScholarCross RefCross Ref
  33. Rayoung Yang and Mark W Newman. 2013. Learning from a learning thermostat:lessons for intelligent systems for the home. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. ACM, 93--102. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. From Tools Towards Cooperative Assistants

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          HAI '17: Proceedings of the 5th International Conference on Human Agent Interaction
          October 2017
          550 pages
          ISBN:9781450351133
          DOI:10.1145/3125739

          Copyright © 2017 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 27 October 2017

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          Overall Acceptance Rate121of404submissions,30%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader