Skip to main content
Log in

Companion-Technology for Cognitive Technical Systems

  • Research Project
  • Published:
KI - Künstliche Intelligenz Aims and scope Submit manuscript

Abstract

We introduce the Transregional Collaborative Research Centre “Companion-Technology for Cognitive Technical Systems”—a cross-disciplinary endeavor towards the development of an enabling technology for Companion-systems. These systems completely adjust their functionality and service to the individual user. They comply with his or her capabilities, preferences, requirements, and current needs and adapt to the individual’s emotional state and ambient conditions. Companion-like behavior of technical systems is achieved through the investigation and implementation of cognitive abilities and their well-orchestrated interplay.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. https://www.land-der-ideen.de/node/63191

  2. Behnke G, Ponomaryov D, Schiller M, Bercher P, Nothdurft F, Glimm B, Biundo S (2015) Coherence across components in cognitive systems – one ontology to rule them all. In: Proc. of the 25th Int. Joint Conf. on Artificial Intelligence (IJCAI), AAAI Press, pp 1442–1449

  3. Bercher P, Biundo S, Geier T, Hoernle T, Nothdurft F, Richter F, Schattenberg B (2014) Plan, repair, execute, explain—how planning helps to assemble your home theater. In: Proc. of the 24th Int. Conf. on Automated Planning and Scheduling (ICAPS), AAAI Press, pp 386–394

  4. Biundo S, Bercher P, Geier T, Müller F, Schattenberg B (2011) Advanced user assistance based on AI planning. Cogn Syst Res 12(3–4):219–236

    Article  Google Scholar 

  5. Biundo S, Wendemuth A (2010) Von kognitiven technischen Systemen zu Companion-Systemen. Künstliche Intelligenz 24(4):335–339

    Article  Google Scholar 

  6. Biundo S, Wendemuth A (2016) Companion Technology—A Paradigm Shift in Human-Technology Interaction. Springer, Forthcoming

  7. Frommer J, Michaelis B, Rösner D, Wendemuth A, Friesen R, Haase M, Kunze M, Andrich R, Lange J, Panning A, Siegert I (2012) Towards emotion and affect detection in the multimodal last minute corpus. In: Proc. of the Eight Int. Conf. on Language Resources and Evaluation (LREC), European Language Resources Association (ELRA), pp 3064–3069

  8. Glodek M, Geier T, Biundo S, Palm G (2014) A layered architecture for probabilistic complex pattern recognition to detect user preferences. Biol Inspir Cogn Archit 9:46–56

    Google Scholar 

  9. Gugenheimer J, Knierim P, Seifert J, Rukzio E (2014) Ubibeam: An interactive projector-camera system for domestic deployment. In: Proc. of the 9th ACM Int. Conf. on Interactive Tabletops and Surfaces, ITS ’14, ACM, pp 305–310

  10. Handrich S, Al-Hamadi A, Ahmed OR (2012) Improving of gesture recognition using multi-hypotheses object association. In: Proc. of the 5th Int. Image and Signal Processing Conf. (ICISP), Springer, pp. 298–306

  11. Honold F, Schüssel F, Weber M (2014) The automated interplay of multimodal fission and fusion in adaptive HCI. In: Proc. of the 10th Int. Conf. on Intelligent Environments (IE), IEEE, pp 170–177

  12. Ilango A, Shumake J, Wetzel W, Scheich H, Ohl FW (2011) Effects of ventral tegmental area stimulation on the acquisition and long-term retention of active avoidance learning. Behav Brain Res 225(2):515–521

    Article  Google Scholar 

  13. Kächele M, Rukavina S, Palm G, Schwenker F, Schels M (2015) Paradigms for the construction and annotation of emotional corpora for real-world human-computer-interaction. In: Proc. of the Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM), SciTePress, pp 367–373

  14. Kohrs C, Angenstein N, Scheich H, Brechmann A (2010) The temporal contingency of feedback: effects on brain activity. In: Proc. of the Int. Conf. on Aging and Cognition

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

  16. Rösner D, Friesen R, Otto M, Lange J, Haase M, Frommer J (2011) Intentionality in interacting with companion systems—an empirical approach. In: Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments, LNCS, Springer, 6763: 593–602

  17. Schattenberg, B, Schulz AL, Brechmann A, Ohl FW, Biundo S (2012) Planning models for two-way avoidance and reversal learning. In: Proc. of the 7th Vienna Int. Conf. on Mathematical Modelling (MATHMOD)

  18. Schwenker F, Scherer S, Morency, L (2015) Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, Lecture Notes in Computer Science, vol 8869. Springer

  19. Siegert I, Ohnemus K (2015) A new dataset of telephone-based human-human call-center interaction with emotional evaluation. In: Proc. of the First International Symposium on Companion Technology (ISCT)

  20. Walter S, Scherer S, Schels M, Glodek M, Hrabal D, Schmidt M, Böck R, Limbrecht K, Traue HC, Schwenker F (2011) Multimodal emotion classification in naturalistic user behavior. In: Proc. of the 14th Int. Conf. on Human Computer Interaction (HCI), Springer, pp 603–611

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

Download references

Acknowledgments

The Transregional Collaborative Research Centre SFB/TRR 62 “Companion-Technology for Cognitive Technical Systems” (www.companion-technology.org) is funded by the German Research Foundation (DFG).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Susanne Biundo.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Biundo, S., Wendemuth, A. Companion-Technology for Cognitive Technical Systems. Künstl Intell 30, 71–75 (2016). https://doi.org/10.1007/s13218-015-0414-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13218-015-0414-8

Keywords

Navigation