Skip to main content

User Involvement in Collaborative Decision-Making Dialog Systems

  • Chapter
  • First Online:
Book cover Dialogues with Social Robots

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 427))

Abstract

Mixed-initiative assistants are systems that support humans in their decision-making and problem-solving capabilities in a collaborative manner. Such systems have to integrate various artificial intelligence capabilities, such as knowledge representation, problem solving and planning, learning, discourse and dialog, and human-computer interaction. These systems aim at solving a given problem autonomously for the user, yet involve the user into the planning process for a collaborative decision-making, to respect e.g. user preferences. However, how the user is involved into the planning can be framed in various ways, using different involvement strategies, varying e.g. in their degree of user freedom. Hence, here we present results of a study examining the effects of different user involvement strategies on the user experience in a mixed-initiative system.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wendemuth, A., Biundo, S.: A companion technology for cognitive technical systems. In: Anna Esposito, Alessandro Vinciarelli, R.H.V.C.M. (ed.) Proceedings of the EUCogII-SSPNET-COST2102 International Conference, pp. 89-103 (2011). Lecture Notes in Computer Science, Springer Berlin Heidelberg (2012)

    Google Scholar 

  2. Sohrabi, S., Baier, J., McIlraith, S.A.: HTN planning with preferences. In: Proceedings of the 21st Int. Joint Conference on Artificial Intelligence (IJCAI 2009). pp. 1790-1797. AAAI Press (2009)

    Google Scholar 

  3. Nothdurft, F., Behnke, G., Bercher, P., Biundo, S., Minker, W.: The interplay of user-centered dialog systems and ai planning. In: Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL). pp. 344-353. Association for Computational Linguistics, Prague, Czech Republic (September 2015)

    Google Scholar 

  4. Myers, K.L., Tyson, W.M., Wolverton, M.J., Jarvis, P.A., Lee, T.J., desJardins, M.: PASSAT: a user-centric planning framework. In: Proceedings of the 3rd International NASA Workshop on Planning and Scheduling for Space, pp. 1-10 (2002)

    Google Scholar 

  5. Ai-Chang, M., Bresina, J., Charest, L., Chase, A., Hsu, J.J., Jonsson, A., Kanefsky, B., Morris, P., Rajan, K., Yglesias, J., et al.: Mapgen: mixed-initiative planning and scheduling for the mars exploration rover mission. IEEE Intell. Syst. 19(1), 8–12 (2004)

    Article  Google Scholar 

  6. Fernández-Olivares, J., Castillo, L.A., García-Pérez, Ó., Palao, F.: Bringing users and planning technology together. Experiences in SIADEX. In: Proceedings of the 16th International Conference on Automated Planning and Scheduling (ICAPS 2006). pp. 11-20. AAAI Press (2006)

    Google Scholar 

  7. Tecuci, G., Boicu, M., Cox, M.T.: Seven aspects of mixed-initiative reasoning: an introduction to this special issue on mixed-initiative assistants. AI Mag. 28(2), 11 (2007)

    Google Scholar 

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

    Google Scholar 

  9. W3C OWL Working Group: OWL 2 Web Ontology Language: Document Overview (2009). http://www.w3.org/TR/owl2-overview/

  10. Honold, F., Schüssel, F., Weber, M.: Adaptive probabilistic fission for multimodal systems. In: Proceedings of the 24th Australian Computer-Human Interaction Conference, pp. 222-231. OzCHI’12, ACM, New York, NY, USA (November, 26-30 2012)

    Google Scholar 

  11. Honold, F., Schussel, F., Weber, M., Nothdurft, F., Bertrand, G., Minker, W.: Context models for adaptive dialogs and multimodal interaction. In: Proceedings of the 9th International Conference on Intelligent Environments (IE 2013), pp. 57-64. IEEE (2013)

    Google Scholar 

  12. Glodek, M., Honold, F., Geier, T., Krell, G., Nothdurft, F., Reuter, S., Schüssel, F., Hoernle, T., Dietmayer, K., Minker, W., Biundo, S., Weber, M., Palm, G., Schwenker, F.: Fusion paradigms in cognitive technical systems for Human-Computer interaction. Neurocomputing 161, 17–37 (2015)

    Article  Google Scholar 

  13. Schüssel, F., Honold, F., Weber, M.: Using the transferable belief model for multimodal input fusion in companion systems. In: Multimodal Pattern Recognition of Social Signals in HCI, LNCS, vol. 7742, pp. 100-115. Springer (2013)

    Google Scholar 

  14. Allen, J.F., Schubert, L.K., Ferguson, G., Heeman, P., Hwang, C.H., Kato, T., Light, M., Martin, N., Miller, B., Poesio, M., et al.: The trains project: a case study in building a conversational planning agent. J. Exp. Theor. Artif. Intell. 7(1), 7–48 (1995)

    Article  MATH  Google Scholar 

  15. Ferguson, G., Allen, J.F., et al.: Trips: An integrated intelligent problem-solving assistant. In: Proceedings of the AAAI/IAAI, pp. 567–572 (1998)

    Google Scholar 

  16. Rao, A.S., Georgeff, M.P.: Modeling rational agents within a bdi-architecture. KR 91, 473–484 (1991)

    MathSciNet  MATH  Google Scholar 

  17. Rich, C., Sidner, C.L.: Collagen: a collaboration manager for software interface agents. User Model. User-Adapt. Interact. 8(3–4), 315–350 (1998)

    Article  Google Scholar 

  18. Grosz, B.J., Kraus, S.: Collaborative plans for complex group action. Artif. Intell. 86(2), 269–357 (1996)

    Article  MathSciNet  Google Scholar 

  19. Myers, K.L., Jarvis, P.A., Tyson, W.M., Wolverton, M.J.: A mixed-initiative framework for robust plan sketching. In: Proceedings of the 13th International Conference on Automated Planning and Scheduling (ICAPS 2003). pp. 256-266. AAAI Press (2003)

    Google Scholar 

  20. de la Asunción, M., Castillo, L., Fdez-Olivares, J., García-Pérez, Ó., González, A., Palao, F.: Siadex: an interactive knowledge-based planner for decision support in forest fire fighting. AI Commun. 18(4), 257 (2005)

    MathSciNet  Google Scholar 

  21. Rich, C., Sidner, C.L.: Diamondhelp: a generic collaborative task guidance system. AI Mag. 28(2), 33 (2007)

    Google Scholar 

  22. Hassenzahl, M., Burmester, M., Koller, F.: Attrakdiff: Ein fragebogen zur messung wahrgenommener hedonischer und pragmatischer qualitt. In: Szwillus, G., Ziegler, J. (eds.) Mensch & Computer 2003: Interaktion in Bewegung, pp. 187–196. B. G. Teubner, Stuttgart (2003)

    Chapter  Google Scholar 

  23. Kirschner, P.A.: Cognitive load theory: implications of cognitive load theory on the design of learning. Learn. Instr. 12(1), 1–10 (2002)

    Article  Google Scholar 

  24. Paas, F., Van Merriënboer, J.: Variability of worked examples and transfer of geometrical problem-solving skills: a cognitive-load approach. J. Educ. Psychol. 86(1), 122 (1994)

    Article  Google Scholar 

  25. M. Klepsch, F.W., Seufert, T.: Differentiated Measurement of Cognitive Load: Possible or Not? (2015), in preparation

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Florian Nothdurft .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media Singapore

About this chapter

Cite this chapter

Nothdurft, F., Bercher, P., Behnke, G., Minker, W. (2017). User Involvement in Collaborative Decision-Making Dialog Systems. In: Jokinen, K., Wilcock, G. (eds) Dialogues with Social Robots. Lecture Notes in Electrical Engineering, vol 427. Springer, Singapore. https://doi.org/10.1007/978-981-10-2585-3_10

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-2585-3_10

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2584-6

  • Online ISBN: 978-981-10-2585-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics