Abstract

Computing is at one of itsmost excitingmoments in history, playing an essential role in supporting many important human activities. The explosion in the availability of information in various media forms and through multiple sensors and devices means, on one hand, that the amount of data we can collect will continue to increase dramatically, and, on the other hand, that we need to develop new paradigms to search, organize, and integrate such information to support all human activities.

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References

  1. [1]
    Aarts E (2004) Ambient intelligence: A multimedia perspective. IEEE Multimedia 11(1):12–19CrossRefGoogle Scholar
  2. [2]
    von Ahn L (2006) Games with a purpose. IEEE Computer pp 96–98Google Scholar
  3. [3]
    von Ahn L, Dabbish L (2008) General techniques for designing games with a purpose. Communications of the ACM pp 58–67Google Scholar
  4. [4]
    Andersen T, Tiippana K, Sams M (2004) Factors influencing audiovisual fission and fusion illusions. Cognitive Brain Research 21:301–308CrossRefGoogle Scholar
  5. [5]
    Benali-Khoudja M, Hafez M, Alexandre JM, Kheddar A (2004) Tactile interfaces: A state-of-the-art survey. In: Int. Symposium on RoboticsGoogle Scholar
  6. [6]
    Boll S (2005) Image and video retrieval from a user-centered mobile multimedia perspective. In: Int’l Conf. Image and Video RetrievalGoogle Scholar
  7. [7]
    Borst C, Volz R (2005) Evaluation of a haptic mixed reality system for interactions with a virtual control panel. Presence: Teleoperators and Virtual Environments 14(6)Google Scholar
  8. [8]
    Brewer E (2005) The case for technology for developing regions. IEEE Computer 38(6):25–38Google Scholar
  9. [9]
    Brewster S, Lumsden J, Bell M, Hall M, Tasker S (2003) Multimodal ‘eyes-free’ interaction techniques for wearable devices. In: ACM CHIGoogle Scholar
  10. [10]
    Canny J (2001) Human-center computing. Tech. rep., UC Berkeley HCC RetreatGoogle Scholar
  11. [11]
    CARPE (2005) ACM workshop on capture, archival, and retrieval of personal experiences (carpe)Google Scholar
  12. [12]
    Cheyer A, Julia L (1998) MVIEWS: Multimodal tools for the video analyst. In: Intelligent User InterfacesGoogle Scholar
  13. [13]
    Clancey W (1997) Situated Cognition: On Human Knowledge and Computer Representations. Cambridge University PressGoogle Scholar
  14. [14]
    Davis M, Sarvas R (2004) Mobile media metadata for mobile imaging. In: Int’l Conf. Multimedia and ExpoGoogle Scholar
  15. [15]
    Deneve S, Pouget A (2004) Bayesian multisensory integration and cross-modal spatial links. J Physiology 98(1-3):249–258Google Scholar
  16. [16]
    Dertouzos M (2001) The Unfinished Revolution: Human-centered Computers and What They Can Do for Us. HarperCollinsGoogle Scholar
  17. [17]
    Dimitrova N (2004) Context and memory in multimedia content analysis. IEEE Multimedia 11(3):7–11CrossRefGoogle Scholar
  18. [18]
    Fitzmaurice G, Ishii H, Buxton W (1995) Bricks: Laying the foundations for graspable user interfaces. In: ACM CHIGoogle Scholar
  19. [19]
    Flanagan J, Huang T, Jones P, Kasif S (1997) Human-centered systems: Information, interactivity, and intelligence. Tech. rep., NSFGoogle Scholar
  20. [20]
    Foley J (2008) HCC educational digital library. Tech. rep., http://hcc.cc.gatech.edu
  21. [21]
    Fritz G, Seifert C, Luley P, Paletta L, Almer A (2004) Mobile vision for ambient learning in urban environments in urban environments. In: Int. Conf. on Mobile LearningGoogle Scholar
  22. [22]
    Gentry C, Ramzan Z, Stubblebine S (2005) Secure distributed human computation. In: ACM Conf. on Electronic Commerce, pp 328–332Google Scholar
  23. [23]
    Gladwell M (2005) Blink. Little Brown and Co.Google Scholar
  24. [24]
    Grauman K, Betke M, Lombardi J, Gips J, Bradski G (2003) Communication via eye blinks and eyebrow raises: Videobased human-computer interfaces. Universal Access in Inf Society 2(4):359–373CrossRefGoogle Scholar
  25. [25]
    Grudin J (1994) Computer-supported cooperative work: Its history and participation. IEEE Computer pp 19–26Google Scholar
  26. [26]
    HCC (2008) Human-Centered Computing: An interdisciplinary consortium at UC Berkeley . URL http://www.cs.berkeley.edu/jfc/hcc/
  27. [27]
    HCC-PhD (2008) PhD Human Centered Computing. URL http://www.cc.gatech.edu/education/grad/phd-hcc
  28. [28]
    Hoffman R (2004) Human-centered computing principles for advanced decision architectures. Tech. rep., Army Research LaboratoryGoogle Scholar
  29. [29]
    Hoffman R, Feltovich P, Ford K, Woods D, Klein G, Feltovich A (2002) A rose by any other name … would probably be given an acronym. IEEE Intelligent Systems 17(4):72–80CrossRefGoogle Scholar
  30. [30]
    IHMC (2008) Institute of Human and Machine Cognition . URL http://www.ihmc.us
  31. [31]
    Jacob R (2005) The use of eye movements in human-computer interactions techniques: What you look at is what you get. ACM Transactions Information Systems 9(3):152–169Google Scholar
  32. [32]
    Jaimes A (2006) Human-centered multimedia: Culture, deployment, and access. IEEE Multimedia 13(1):12–19CrossRefGoogle Scholar
  33. [33]
    Jaimes A, Chang SF (2000) A conceptual framework for indexing visual information at multiple levels. In: SPIE Internet ImagingGoogle Scholar
  34. [34]
    Jaimes A, Sebe N (2005) Multimodal hci: A survey. In: IEEE Int’l Workshop on Human-Computer InteractionGoogle Scholar
  35. [35]
    Jaimes A, Sebe N (2007) Multimodal human computer interaction: A survey. Computer Vision and Image Understanding 108(1-2):116–134CrossRefGoogle Scholar
  36. [36]
    Jaimes A, Sebe N, Gatica-Perez D (2002) Human-centered computing: A multimedia perspective. In: ACM Multimedia, pp 855–864Google Scholar
  37. [37]
    Jaimes A, Gatica-Perez D, Sebe N, Huang T (2007) Human-centered computing: Toward a human revolution. IEEE Computer 40(5):30–34Google Scholar
  38. [38]
    Jain R (2003) Folk computing. Comm of the ACM 46(4):27–29CrossRefGoogle Scholar
  39. [39]
    Ji Q, Yang X (2002) Real-time eye, gaze, and face pose tracking for monitoring driver vigilance. Real-Time Imaging 8:357–377MATHCrossRefGoogle Scholar
  40. [40]
    Johnston M, Bangalore S (2002) Multimodal applications from mobile to kiosk. In: W3C Workshop on Multimodal InteractionGoogle Scholar
  41. [41]
    Karat J, Karat C (2003) The evolution of user-centered focus in the human-computer interaction field. IBM Systems 42(2):532–541CrossRefGoogle Scholar
  42. [42]
    Kuno Y, Shimada N, Shirai Y (2003) Look where you’re going: A robotic wheelchair based on the integration of human and environmental observations. IEEE Robotics and Automation 10(1):26–34CrossRefGoogle Scholar
  43. [43]
    Lyons M, Haehnel M, Tetsutani N (2003) Designing, playing, and performing, with a vision-based mouth interface. In: Conf. on New Interfaces for Musical ExpressionGoogle Scholar
  44. [44]
    Maynes-Aminzade D, Pausch R, Seitz S (2002) Techniques for interactive audience participation. In: ICMIGoogle Scholar
  45. [45]
    McCowan I, Gatica-Perez D, Bengio S, Lathoud G, Barnard M, Zhang D (2005) Automatic analysis of multimodal group actions in meetings. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(3):305–317CrossRefGoogle Scholar
  46. [46]
    Nijholt A, Heylen D (2002) Multimodal communication in inhabited virtual environments. Int J of Speech Technology 5:343–354MATHCrossRefGoogle Scholar
  47. [47]
    NIST-TRECVID (2008) TREC Video Retrieval Evaluation. URL http://www-nlpir.nist.gov/projects/trecvid
  48. [48]
    NSF-HCC (2008) NSF - Human Centered Computing Program. URL http://www.nsf.gov/cise/iis/hcc\_pgm.jsp
  49. [49]
    Paradiso J, Sparacino F (1997) Optical tracking for music and dance performance. In: Optical 3-D Measurement TechniquesGoogle Scholar
  50. [50]
    Pavlovic V, Sharma R, Huang T (1997) Visual interpretation of hand gestures for human-computer interaction: A review. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7):677–695CrossRefGoogle Scholar
  51. [51]
    Pelz J (2004) Portable eye-tracking in natural behavior. J of Vision 4Google Scholar
  52. [52]
    Pentland A (2005) Socially aware computation and communication. IEEE Computer 38(3):33–40Google Scholar
  53. [53]
    Potamianos G, Neti C, Luettin J, Matthews I (2004) Audiovisual automatic speech recognition: An overview. In: Issues in Visual and Audio-Visual Speech Processing, MIT PressGoogle Scholar
  54. [54]
    Rehg J, Loughlin M, Waters K (1997) Vision for a smart kiosk. In: CVPRGoogle Scholar
  55. [55]
    Roth P, Pun T (2003) Design and evaluation of a multimodal system for the non-visual exploration of digital pictures. In: INTERACTGoogle Scholar
  56. [56]
    Schroeder C, Foxe J (2005) Multisensory contributions to low-level, ‘unisensory’ processing. Current Opinion in Neurobiology 15:454–458CrossRefGoogle Scholar
  57. [57]
    Shneiderman B (2002) Leonardo’s Laptop: Human Needs and the New Computing Technologies. MIT PressGoogle Scholar
  58. [58]
    Smith P, Shah M, Lobo N (2003) Determining driver visual attention with one camera. IEEE Transactions on Intelligent Transportation Systems 4(4)Google Scholar
  59. [59]
    Trivedi M, Gandhi T, McCall J (2007) Looking-in and looking-out of a vehicle: Computer-vision-based enhanced vehicle safety. IEEE Transactions on Intelligent Transportation Systems pp 108–120Google Scholar
  60. [60]
    Valenti R, Gevers T (2008) Accurate eye center location and tracking using isophote curvature. In: IEEE Conf. Computer Vision and Pattern Recogn.Google Scholar
  61. [61]
    Vinciarelli A, Pantic M, Bourlard H, Pentland A (2008) Social signal processing: State-of-the-art and future perspectives of an emerging domain. In: ACM Multimedia, pp 1061–1070Google Scholar
  62. [62]
    Wassermann K, Eng K, Verschure P, Manzolli J (2003) Live soundscape composition based on synthetic emotions. IEEE Multimedia 10(4)Google Scholar
  63. [63]
    Weiser M (1993) Some computer science issues in ubiquitous computing. Communications of the ACM 36(7):74–83CrossRefGoogle Scholar
  64. [64]
    Zhang D, Gatica-Perez D, Bengio S, Roy D (2005) Learning influence among interacting {Markov} chains. In: NIPSGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.University of AmsterdamThe Netherlands
  2. 2.University of TrentoItaly

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