An Introduction to Companion-Technology

1. Albrecht, S., Ramirez-Amaro, K., Ruiz-Ugalde, F., Weikersdorfer, D., Leibold, M., Ulbrich, M., Beetz, M.: Imitating human reaching motions using physically inspired optimization principles. In: Proceedings of 11th IEEE-RAS International Conference on Humanoid Robots (2011)

   Google Scholar 

2. Biundo, S., Wendemuth, A.: Von kognitiven technischen Systemen zu Companion-Systemen. Künstliche Intelligenz 24(4), 335–339 (2010). DOI 10.1007/s13218-010-0056-9

   Article  Google Scholar 

3. Biundo, S., Wendemuth, A.: Companion-technology for cognitive technical systems. Künstliche Intelligenz 30(1), 71–75 (2016). DOI 10. 1007/s13218-015-0414-8

   Google Scholar 

4. Biundo, S., Höller, D., Bercher, P.: Special issue on companion technologies. Künstliche Intelligenz 30(1), 5–9 (2016). DOI 10.1007/ s13218-015-0421-9

   Article  Google Scholar 

5. Biundo, S., Höller, D., Schattenberg, B., Bercher, P.: Companion-technology: an overview. Künstliche Intelligenz 30(1), 11–20 (2016). DOI 10.1007/s13218-015-0419-3

   Article  Google Scholar 

6. Dautenhahn, K., Woods, S., Kaouri, C., Walters, M.L., Koay, K.L., Werry, I.: What is a robot companion - friend, assistant or butler. In: Proceedings of IEEE IROS, pp. 1488–1493 (2005)

   Google Scholar 

7. Ghallab, M., Nau, D.S., Traverso, P.: Automated Planning: Theory & Practice. Morgan Kaufmann, Burlington (2004)

   MATH  Google Scholar 

8. Gugenheimer, J., Knierim, P., Seifert, J., Rukzio, E.: Ubibeam: an interactive projector-camera system for domestic deployment. In: Proceedings of the 9th ACM International Conference on Interactive Tabletops and Surfaces, ITS’14, pp. 305–310. ACM, New York (2014)

   Google Scholar 

9. Honold, F., Schüssel, F., Weber, M.: The automated interplay of multimodal fission and fusion in adaptive HCI. In: 10th International Conference on Intelligent Environments (IE), pp. 170–177 (2014)

   Google Scholar 

10. Kächele, M., Rukavina, S., Palm, G., Schwenker, F., Schels, M.: Paradigms for the construction and annotation of emotional corpora for real-world human-computer-interaction. In: ICPRAM 2015 - Proceedings of the International Conference on Pattern Recognition Applications and Methods, Volume 1, Lisbon, 10–12 January 2015, pp. 367–373 (2015)

    Google Scholar 

11. Kohrs, C., Angenstein, N., Scheich, H., Brechmann, A.: The temporal contingency of feedback: effects on brain activity. In: Proceedings of International Conference on Aging and Cognition (2010)

    Google Scholar 

12. Lange, J., Frommer, J.: Subjektives Erleben und intentionale Einstellung in Interviews zur Nutzer-Companion-Interaktion. In: Lecture Notes in Informatics, Band P192: 41, Jahrestagung der Gesellschaft für Informatik, pp. 240–254. Gesellschaft für Informatik, Bonn (2011)

    Google Scholar 

13. Matthews, J.T., Engberg, S.J., Glover, J., Pollack, M.E., Thrun, S.: Robotic assistants for the elderly: designing and conducting field studies. In: Proceedings of 10th IASTED International Conference on Robotics and Applications (2004)

    Google Scholar 

14. Nothdurft, F., Heinroth, T., Minker, W.: The impact of explanation dialogues on human-computer trust. In: Human-Computer Interaction. Users and Contexts of Use, pp. 59–67. Springer, Berlin (2013)

    Google Scholar 

15. Putze, F., Schultz, T.: Adaptive cognitive technical systems. J. Neurosci. Methods 234, 108–115 (2014). DOI 10.1016/j.jneumeth.2014.06.029

    Article  Google Scholar 

16. Rösner, D., Haase, M., Bauer, T., Günther, S., Krüger, J., Frommer, J.: Desiderata for the design of companion systems. Künstliche Intelligenz 30(1), 53–61 (2016). DOI 10.1007/s13218-015-0410-z

    Article  Google Scholar 

17. Schwenker, F., Scherer, S., Morency, L. (eds.): Multimodal pattern recognition of social signals in human-computer-interaction. Lecture Notes in Computer Science, vol. 8869. Springer, Berlin (2015)

    Google Scholar 

18. Tornow, M., Krippl, M., Bade, S., Thiers, A., Siegert, I., Handrich, S., Krüger, J., Schega, L., Wendemuth, A.: Integrated health and fitness (iGF)-corpus - ten-modal highly synchronized subject-dispositional and emotional human machine interactions. In: Multimodal Corpora: Computer Vision and Language Processing (MMC) at LREC 2016, pp. 21–24 (2016)

    Google Scholar 

19. Vernon, D., Metta, G., Sandini, G.: A survey of artificial cognitive systems: implications for the autonomous development of mental capabilities in computational agents. Trans. Evol. Comput. 11(2), 151–180 (2007). DOI 10.1109/TEVC.2006.890274

    Article  Google Scholar 

20. Walter, S., Scherer, S., Schels, M., Glodek, M., Hrabal, D., Schmidt, M., Böck, R., Limbrecht, K., Traue, H.C., Schwenker, F.: Multimodal emotion classification in naturalistic user behavior. In: 14th International Conference on Human-Computer Interaction (HCI), Orlando, FL, 9–14 July 2011, Proceedings, Part III, pp. 603–611 (2011)

    Google Scholar 

21. Wendemuth, A., Biundo, S.: A companion technology for cognitive technical systems. In: Cognitive Behavioural Systems. Lecture Notes in Computer Science, pp. 89–103. Springer, Cham (2012)

    Google Scholar 

22. Wilks, Y.: Close Engagements with Artificial Companions: Key Social, Psychological, Ethical and Design Issues. Natural Language Processing, vol. 8. John Benjamins Publishing, Amsterdam (2010)

    Google Scholar 

Download references