Advertisement

The Digital Call Assistant: Determine Optimal Time Slots for Calls

  • Manuel Görtz
  • Ralf Ackermann
  • Ralf Steinmetz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3311)

Abstract

Communication plays a key role in today’s businesses. Reaching a communication partner often has become a time consuming task. A multitude of potential communication channels with individual addresses forces a callee to guess an appropriate device at the right time. Under these circumstances additional information about a high probability to reach the calling target at a specific point in time enhances efficiency in communication. The decision when to call and the choice of the communication channel can be based on these information. This paper presents a Digital Call Assistant to determine an optimal time slot to place a call. The proposed approach combines calendar events and context information. The combination of these two information sources allows the creation of call plans which provide a list of possible time slots for communication with another user. A trust concept will assure that these sensible data will only be shared among trusted peers. Pending call requests and open call slots are presented to the user. The proposed planning application is going to form a novel part in our context-aware communication service framework.

Keywords

Time Slot Context Information Session Initiation Protocol Communication Partner Planning Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Imperial College Department of Computing: Foldoc: On-line dictionary, http://foldoc.doc.ic.ac.uk/foldoc/
  2. 2.
    Guha, R.: Contexts: A Formalization and Some Applications. PhD thesis, Stanford (1991)Google Scholar
  3. 3.
    McCarthy, J., Buvač, S.: Formalizing Context (Expanded Notes). Computing Natural Language (1997)Google Scholar
  4. 4.
    Dey, A.K.: Providing Architectural Support for Building Context-Aware Applications. PhD thesis, Georgia Institute of Technology (2000)Google Scholar
  5. 5.
    Dey, A.K.: Context-aware computing: The cyberdesk project. In: AAAI 1998 Spring Symposium on Intelligent Environments, Palo Alto, CA, pp. 51–54. AAAI Press, Menlo Park (1998), http://www.cc.gatech.edu/fce/cyberdesk/pubs/AAAI98/AAAI98.html Google Scholar
  6. 6.
    Chen, G., Kotz, D.: A survey of context-aware mobile computing research. Technical Report TR2000-381, Dept. of Computer Science, Dartmouth College (2000)Google Scholar
  7. 7.
    Bedworth, M., O’Brien, J.: The omnibus model:A new architecture for data fusion? In: Proceedings of the 2nd International Conference on Information Fusion (FUSION 1999), Helsinki, Finnland (1999)Google Scholar
  8. 8.
    Schmidt, A., Beigl, M., Gellersen, H.W.: There is more to context than location. Computers and Graphics 23, 893–901 (1999)CrossRefGoogle Scholar
  9. 9.
    Brooks, R.R., Iyengar, S.: Multi-Sensor Fusion: Fundamentals and Applications. Prentice Hall, New Jersey (1998)Google Scholar
  10. 10.
    Dawson, F., Stenerson, D.: Internet Calendaring and Scheduling Core Object Specification (iCalendar). RFC 2445 (1998)Google Scholar
  11. 11.
    Goertz, M., Ackermann, R., Steinmetz, R.: Enhanced SIP Communication Services by Context Sharing. In: 30th EUROMICRO Conference 2004 (2004)Google Scholar
  12. 12.
    Martinovic, I., Goertz, M., Ackermann, R., Mauthe, A., Steinmetz, R.: Trust and context: Two complementary concepts for creating spontaneous collaborative networks and intelligent applications. In: Proceedings of SoftCOM 2004, International Conference on Software, Telecommunications and Computer Networks, Croatia/Italy (2004)Google Scholar
  13. 13.
    Vovida Networks, Inc.: Vovida vocal system, http://www.vovida.org/
  14. 14.
    Rosenberg, J., Schulzrinne, H., Camarillo, G., Johnston, A., Peterson, J., Sparks, R., Handley, M., Schooler, E.: SIP: Session Initiation Protocol. RFC 3261 (2002)Google Scholar
  15. 15.
    Sugano, H., Fujimoto, S., Klyne, G., Bateman, A., Carr, W., Peterson, J.: Presence Information Data Format (PIDF). Internet Draft draft-ietf-impp-cpim-pidf-08.txt (2003)Google Scholar
  16. 16.
    Bahl, P., Padmanabhan, V.N.: RADAR: An in-building RF-based user location and tracking system. In: IEEE INFOCOM, Tel-Aviv, Israel, pp. 775–784. IEEE Computer Society Press, Los Alamitos (2000)Google Scholar
  17. 17.
    Goertz, M., Perez, A., Ackermann, R., Mauthe, A., Steinmetz, R.: Location Sensing using RADAR. Technical ReportTR-KOM-2003-09, Multimedia Communications Lab, Darmstadt University of Technology (2003)Google Scholar
  18. 18.
    Goertz, M., Ackermann, R., Mauthe, A., Steinmetz, R.: A Protype Setup for Location-Aware Personal Communication Services. In: Evolute Workshop 2003 (2003)Google Scholar
  19. 19.
    Silverberg, S., Mansour, S., Dawson, F., Hopson, R.: iCalendar Transport-Independent Interoperability Protocol (iTIP) Scheduling Events, BusyTime, To-dos and Journal Entries. RFC 2446 (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Manuel Görtz
    • 1
  • Ralf Ackermann
    • 1
  • Ralf Steinmetz
    • 1
  1. 1.Multimedia Communications Lab, Department of Electrical Engineering and Information TechnologyDarmstadt University of TechnologyDarmstadtGermany

Personalised recommendations