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Smart Offices and Intelligent Decision Rooms

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Handbook of Ambient Intelligence and Smart Environments

Abstract

Nowadays computing technology research is focused on the development of Smart Environments. Following that line of thought several Smart Rooms projects were developed and their appliances are very diversified. The appliances include projects in the context of workplace or everyday living, entertainment, play and education. These appliances envisage to acquire and apply knowledge about the environment state in order to reason about it so as to define a desired state for its inhabitants and perform adaptation adaptation to these desires and therefore improving their involvement and satisfaction with that environment.

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References

  1. Analide C, Neves J (2002) Antropopatia em entidades virtuais. In: I Workshop de Teses e Dissertacoes em Inteligencia Artificial (WTDIA02), Brazil

    Google Scholar 

  2. Andrade F, Neves J, Novais P, Machado J, Abelha A (2005) Collaborative Networks and Their Breeding nvironments, Springer-Verlag, chap Legal Security and Credibility in Agent Based Virtual Enterprises, pp 501–512

    Google Scholar 

  3. Asadi M, Huber M (2004) State space reduction for hierarchical reinforcement learning. In: FLAIRS Conference

    Google Scholar 

  4. Brard F (1994) Vision par ordinateur pour la ralit augmente : Application au bureau numrique. PhD thesis, Université Joseph Fourier, June

    Google Scholar 

  5. Brooks RA, Dang D, Bonet JD, Kramer J, Mellor J, Pook P, Stauffer C, Stein L, Torrance M, Wessler M (1997) The intelligent room project. In: Proceedings of the 2nd International Cognitive Technology Conference (CT’97), pp 271–278

    Google Scholar 

  6. Chen F, Gao Y, Chen S, Ma Z (2007) Connect-based subgoal discovery for options in hierarchical reinforcement learning. 3th International Conference on Natural Computation (ICNC 2007) 4:698–702

    Article  Google Scholar 

  7. Cook DJ, Das SK (2007) How smart are our environments? an updated look at the state of the art. Pervasive Mobile Computing 3(2):53–73

    Article  Google Scholar 

  8. Davidsson P (2001) Multi agent based simulation: beyond social simulation. In: MABS 2000: Proceedings of the second international workshop on Multi-agent based simulation, Springer-Verlag, USA, pp 97–107

    Google Scholar 

  9. Dodier R, Y DL, Riesz J, Mozer MC (1994) Comparison of neural net and conventional techniques for lighting control. applied mathematics and computer science. Applied Mathematics and Computer Science 4:447–462

    Google Scholar 

  10. Fillinger A (Accessed in June 2008) The nist mark-iii microphone array. http://www.nist.gov/smartspace/mk3_presentation.html

  11. Fillinger A (Accessed in June 2008) The nist smart space project. http://www.nist.gov/smartspace/

  12. Frank R (2000) Understanding smart sensors. Measurement Science and Technology 11(12):1830, URL http://stacks.iop.org/0957-0233/11/1830

  13. Freitas C, Marreiros G, Ramos C (2007) IGTAI - An Idea Generation Tool for Ambient Intelligence. In: 3rd IET International Conference on Intelligent Environments, pp 391–397, Ulm, Germany

    Chapter  Google Scholar 

  14. Goel S, Huber M (2003) Subgoal discovery for hierarchical reinforcement learning using learned policies. In: FLAIRS Conference, pp 346–350

    Google Scholar 

  15. Grudin J (2002) Group dynamics and ubiquitous computing. Commun ACM 45(12):74–78, http://doi.acm.org/10.1145/585597.585618

    Article  Google Scholar 

  16. Heider T, Kirste T (2002) Intelligent environment lab. Computer Graphics Topics 15(2):8–10

    Google Scholar 

  17. Huber GP (1982) Group decision support systems as aids in the use of structured group management techniques. In: Proc. of second international conference on decision support systems

    Google Scholar 

  18. Huber GP (1984) Issues in the design of group decision support systems. MIS Quarterly

    Google Scholar 

  19. Huber M (2005) Smart Environments: Technology, Protocols and Applications, Wiley, chap Automated Decision Making

    Google Scholar 

  20. Johanson B, Fox A, Winograd T (2002) The interactive workspaces project: Experiences with ubiquitous computing rooms. IEEE Pervasive Computing 1(2):67–74

    Article  Google Scholar 

  21. Kang YB, Pisan Y (2006) A survey of major challenges and future directions for next generation pervasive computing. In: Computer and Information Sciences, ISCIS 2006, vol 4263/2006, pp 755–764

    Article  Google Scholar 

  22. Karacapilidis N, Papadias D (2001) Computer supported argumentation and collaborative decision making: the hermes system. Infor Syst 26(4):259–277

    Article  MATH  Google Scholar 

  23. Kraus S, Sycara K, Evenchik A (1998) Reaching agreements through argumentation: A logical model and implementation. Artificial Intelligence 104:1–69

    Article  MATH  MathSciNet  Google Scholar 

  24. Kulkarni A (2002) Design Principles of a Reactive Behavioral S ystem for the Intelligent Room. Bitstream: The MIT Journal of EECS Student Research

    Google Scholar 

  25. Le Gal C (2005) Smart Environments: Technology, Protocols and Applications, Wiley, chap Smart Offices

    Google Scholar 

  26. Le Gal C, Martin J, Lux A, Crowley J (2001) Smartoffice: design of an intelligent environment. IEEE Intelligent Systems 16(4):60–66, DOI 10.1109/5254.941359

    Article  Google Scholar 

  27. Lewis L (1982) Facilitator: A microcomputer decision support systems for small groups. PhD thesis, University of Louisville

    Google Scholar 

  28. Marreiros G, Sousa J, Ramos C (2004) Webmeeting - a group decision support system for multi-criteria decision problems. In: International Conference on Knowledge Engineering and Decision Support, Porto, Portugal, pp 63–70

    Google Scholar 

  29. Marreiros G, Ramos C, Neves J (2005) Dealing with emotional factors in agent based ubiquitous group decision. LNCS 3823:41–50

    Google Scholar 

  30. Marreiros G, Ramos C, Neves J (2006) Multi-agent approach to group decision making through persuasive argumentation. In: 6th International Conference on Argumentation ISSA 2006

    Google Scholar 

  31. Marreiros G, Santos R, Ramos C, Neves J, Novais P, Machado J, Bulas-Cruz J (2007) Ambient intelligence in emotion based ubiquitous decision making. In: Artificial Intelligence Techniques for Ambient Intelligence, IJCAI 07, India

    Google Scholar 

  32. Marreiros G, Santos R, Freitas C, Ramos C, Neves J, Bulas-Cruz J (2008) Laid - a smart decision room with ambient intelligence for group decision making and argumentation support considering emotional aspects. International Journal of Smart Home 2(2):77–94

    Google Scholar 

  33. Marsa-Maestre I, de la Hoz E, Alarcos B, Velasco JR (2006) A hierarchical, agent-based approach to security in smart offices. In: Proceedings of the First International Conference on Ubiquitous Computing (ICUC-2006)

    Google Scholar 

  34. Marsa-Maestre I, Lopez-Carmona MA, Velasco JR, Navarro A (2008) Mobile agents for service personalization in smart environments. Journal of Networks (JNW) 3(5):30–41

    Google Scholar 

  35. Mikic I, Huang K, Trivedi M (2000) Activity monitoring and summarization for an intelligent meeting room. In: Workshop on Human Motion, pp 107–112

    Google Scholar 

  36. Minder D, Marrón PJ, Lachenmann A, Rothermel K (2005) Experimental construction of a meeting model for smart office environments. In: Proceedings of the First Workshop on Real-World Wireless Sensor Networks (REALWSN 2005)

    Google Scholar 

  37. Mitchell TM (1997) Machine Learning. McGraw-Hill Higher Education

    Google Scholar 

  38. Moore D (2002) The idiap smart meeting room. IDIAP-COM 07, IDIAP

    Google Scholar 

  39. Neves J (1984) A logic interpreter to handle time and negation in logic data bases. In: ACM 84: Proceedings of the 1984 annual conference of the ACM on The fifth generation challenge, ACM, New York, NY, USA, pp 50–54, DOI http://doi.acm.org/10.1145/800171.809603

    Google Scholar 

  40. Nijholt A (2004) Meetings, gatherings, and events in smart environments. In: ACM SIGGRAPH international Conference on Virtual Reality Continuum and Its Applications in industry, pp 229–232

    Google Scholar 

  41. Nunamaker JF, Dennis AR, Valacich JS, Vogel D, George JF (1991) Electronic meeting systems. Commun ACM 34(7):40–61, DOI http://doi.acm.org/10.1145/105783.105793

    Google Scholar 

  42. Nunamaker JF, Briggs RO, Mittleman DD, Vogel DR, Balthazard PA (1996) Lessons from a dozen years of group support systems research: a discussion of lab and field findings. Journal Management Information Systems 13(3):163–207

    Google Scholar 

  43. O’Keefe D (1990) Persuasion: Theory and Research. SAGE Publications

    Google Scholar 

  44. Osborn AF (1963) Applied Imagination 3rd ed. Scribner, New York

    Google Scholar 

  45. Petzold J, Bagci F, Trumler W, Ungerer T, Vintan L (2004) Global state context prediction techniques applied to a smart office building. In: Communication Networks and Distributed Systems Modeling and Simulation Conference, USA

    Google Scholar 

  46. Petzold J, Bagci F, Trumler W, Ungere T (2005) Next location prediction within a smart office building. In: Gellersen HW, Want R, Schmidt A (eds) Third International Conference PERVASIVE 2005, Munich, Germany

    Google Scholar 

  47. Prante T, Stenzel R, Röcker C, Streitz N, Magerkurth C (2004) Ambient agoras: Inforiver, siam, hello.wall. In: CHI ’04: extended abstracts on Human factors in computing systems, ACM, NY, USA, pp 763–764

    Chapter  Google Scholar 

  48. Pruitt DG (1981) Negotiation Behavior. Academic Press, New York

    Google Scholar 

  49. Ramos C, Augusto JC, Shapiro D (2008) Ambient intelligence - the next step for artificial intelligence. IEEE Intelligent Systems 23(2):15–18

    Article  Google Scholar 

  50. Russell SJ, Norvig P (1995) Artificial intelligence: a modern approach. Prentice-Hall, Inc., Upper Saddle River, NJ, USA

    MATH  Google Scholar 

  51. Salancik G, Pfeffer J (1977) Who gets power and how they hold on to it: A strategic-contingency model of power. Organizational Dynamics 5:3–21

    Article  Google Scholar 

  52. Santos R, Marreiros G, Ramos C, Neves J, Bulas-Cruz J (2006) Multi-agent Approach for Ubiquitous Group Decision Support Involving Emotions, LNCS, vol 4159, Springer Berlin / Heidelberg, chap Ubiquitous Intelligence and Computing, pp 1174–1185

    Google Scholar 

  53. Satyanarayanan M (2001) Pervasive computing: vision and challenges. Personal Communications, IEEE [see also IEEE Wireless Communications] 8(4):10–17

    Google Scholar 

  54. Shrobe DHE (Accessed in June 2008) Intelligent room project. http://w5.cs.uni-sb.de/butz/teaching/ie-ss03/papers/IntelligentRoom/

  55. Stanford V, Garofolo J, Galibert O, Michel M, Laprun C (2003) The (nist) smart space and meeting room projects: signals, acquisition annotation, and metrics. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP ’03). 2003, vol 4, pp 6–10

    Google Scholar 

  56. Streitz NA, Röcker C, Prante T, van Alphen D, Stenzel R, Magerkurth C (2005) Designing smart artifacts for smart environments. Computer 38(3):41–49

    Article  Google Scholar 

  57. Trumler W, Bagci F, Petzold J, Ungerer T (2003) Smart doorplate. Personal Ubiquitous Computing 7(3-4):221–226

    Article  Google Scholar 

  58. Waibel A, Schultz T, Bett M, Denecke M, Malkin R, Rogina I, Stiefelhagen R, Yang J (2003) Smart: the smart meeting room task at ISL. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, pp 281–286

    Google Scholar 

  59. Want R, Hopper A, Falcao V, Gibbons J (1992) The active badge location system. ACM Transactions Information Systems 10(1):91–102

    Article  Google Scholar 

  60. Weiser M (1991) The computer for the twenty-first century. Scientific American 265(3):94–104

    Article  Google Scholar 

  61. Wellner P (1991) The digitaldesk calculator: tangible manipulation on a desk top display. In: UIST ’91: Proceedings of the 4th annual ACM symposium on User interface software and technology, ACM, NY, USA, pp 27–33

    Chapter  Google Scholar 

  62. Yuizono T, Munemori J, Nagasawa Y (1998) Gungen: groupware for a new idea eneration consistent support system. In: Proceedings 3rd Asia Pacific on Computer Human Interaction, pp 357–362

    Google Scholar 

  63. Zachary W, Ryder J (1997) Handbook Of Human-Computer Interaction, Elsevier Science, chap Decision Support Systems: Integrating Decision Aiding and Decision Training, pp 1235–1258

    Google Scholar 

  64. Zimmermann HJ (1999) Practical Applications of Fuzzy Technologies. Kluwer Academic Publishers, Norwell, MA, USA

    MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. GECAD and ISEP, Portugal

    Carlos Ramos & Goreti Marreiros

  2. GECAD and ESTGF, Portugal

    Ricardo Santos

  3. GECAD, Portugal

    Carlos Filipe Freitas

Authors
  1. Carlos Ramos
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  2. Goreti Marreiros
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  3. Ricardo Santos
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  4. Carlos Filipe Freitas
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Corresponding authors

Correspondence to Carlos Ramos , Goreti Marreiros , Ricardo Santos or Carlos Filipe Freitas .

Editor information

Editors and Affiliations

  1. Future University Hakodate, Kameda-Nakano 116-2, Hakodate, Hokkaido, 041-8655, Japan

    Hideyuki Nakashima

  2. Department of Electrical Engineering, Stanford University, 350 Serra Mall, Stanford, CA, 94305-9515, USA

    Hamid Aghajan

  3. School of Computing & Mathematics, University of Ulster at Jordanstown, Shore Road, Newtownabbey, Co. Antrim, UK, BT37 0QB

    Juan Carlos Augusto

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Ramos, C., Marreiros, G., Santos, R., Freitas, C.F. (2010). Smart Offices and Intelligent Decision Rooms. In: Nakashima, H., Aghajan, H., Augusto, J.C. (eds) Handbook of Ambient Intelligence and Smart Environments. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-93808-0_32

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  • DOI: https://doi.org/10.1007/978-0-387-93808-0_32

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-93807-3

  • Online ISBN: 978-0-387-93808-0

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