A.M. Khamis, M.S. Kamel, and M.A. Salichs


  1. [1] T. Fong, I. Nourbakhsh, & K. Dautenhahn, A survey of socially interactive robots, Robotics and Autonomous Systems, Special issue on Socially Interactive Robots, 42 (3–4), 2003, 143–166. doi:10.1016/S0921-8890(02)00372-X
  2. [2] C. Breazeal, Towards sociable robots, Robotics and Autonomous Systems, Special issue on Socially Interactive Robots, 42 (3–4), 2003, 167–175. doi:10.1016/S0921-8890(02)00373-1
  3. [3] M. Scheeff, Experience with Sparky: a social robot, Proceedings of the Workshop on Interactive Robot Entertainment (WIRE), Pittsburgh, USA, 2000.
  4. [4] B. Fortenberry, J. Chenu, & J. Movellan, RUBI: a robotic platform for real-time social interaction, Third International Conference on Development and Learning (ICDL’04), La Jolla, California, USA, October 20–22, 2004 [Poster].
  5. [5] M.A. Salichs, R. Barber, A. Khamis, M. Malfaz, J. Gorostiza, R. Pacheco, R. Rivas, A. Corrales, E. Delgado, & D. Garc´ıa, Maggie: a robotic platform for human-robot social interaction, IEEE International Conference on Robotics, Automation and Mechatronics (RAM 2006), Thailand, 2006, 674–680.
  6. [6] A. Bruce, I. Nourbakhsh, & Y. R. Simmons, The role of expressiveness and attention in human-robot interaction, IEEE International Conference on Robotics and Automation (ICRA’02), Washington DC, USA, 2002, 4138–4142.
  7. [7] R. Gockley, A. Bruce, J. Forlizzi, M. Michalowski, A. Mundell, S. Rosenthal, B.P. Sellner, R. Simmons, K. Snipes, A. Schultz, & J. Wang, Designing robots for long-term social interaction, Proceedings of IROS 2005, Edmonton, Alberta, Canada, 2005, 2199–2204.
  8. [8] C. Stephanidis, User interfaces for all: new perspectives into human-computer interaction, in C. Stephanidis (Ed.), User interfaces for all—concepts, methods, and tools (Mahwah, NJ: Lawrence Erlbaum Associates, 2001), 3–17.
  9. [9] P. Ehlert, Intelligent user interfaces: introduction and survey, Research Report DKS03-01/ICE, Delft University of Technology, The Netherlands, 2003.
  10. [10] M. Frohlich, The history and future of direct manipulation, Behaviour and Information Technology, 12 (6), 1993, 315–329. doi:10.1080/01449299308924396
  11. [11] B. Shneiderman, Direct manipulation for comprehensible, predictable and controllable user interfaces, Proceedings of the 2nd International Conference on Intelligent user interfaces, Orlando, Florida, USA, 1997, 33–39.
  12. [12] K. Vicente & J. Rasmussen, Ecological interface design: theoretical foundations, IEEE Transactions on Systems, Man, and Cybernetics, 22 (4), 1992, 589–606. doi:10.1109/21.156574
  13. [13] C. Burns & J. Hajdukiewicz, Ecological interface design (Boca Raton, FL: CRC Press, 2004).
  14. [14] L. Nigay & J. Coutaz, A design space for multimodal systems—concurrent processing and data fusion, INTERCHI’93—Conference on Human Factors in Computing Systems, Amsterdam, 1993, 172–178. doi:10.1145/169059.169143
  15. [15] O. Hiroshi, N. Kazuhiro, T. Lourens, & K. Hiroaki, Human-robot interaction through real-time auditory and visual multiple-talker tracking, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 3, Maui, Hawaii, USA, 2001, 1402–1409.
  16. [16] J. Schmid, T. Kollar, E. Meisner, V. Sweetser, D. Feil-Seifer, & C. Brown, Mabel: building a robot designed for human interaction, The Mobile Robot Competition and Exhibition, TR WS-02-18, 24–32, 2002.
  17. [17] R. Stiefelhagen, C. F¨ugen, P. Gieselmann, H. Holzapfel, K. Nickel, & A. Waibel, Natural human-robot interaction using speech, gaze and gestures, IROS 2004, IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, 2004, 2422–2427.
  18. [18] K.W. Bowyer, K. Chang, & P. Flynn, A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition, Computer Vision and Image Understanding, 101 (1), 2006, 1–15. doi:10.1016/j.cviu.2005.05.005
  19. [19] L. Zhang & D. Samaras, Face recognition from a single training image under arbitrary unknown lighting using spherical harmonics, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28 (3), 2006, 351–363. doi:10.1109/TPAMI.2006.53
  20. [20] J. Lu, K. Plataniotis, A. Venetsanopoulos, & S. Li, Ensemble-based discriminant learning with boosting for face recognition, IEEE Transactions on Neural Networks, 17 (1), 2006, 166–178. doi:10.1109/TNN.2005.860853
  21. [21] B. Miners, O. Basir, & M. Kamel, Understanding hand gestures using approximate graph matching, IEEE Systems, Man, and Cybernetics—Part A, 35 (2), 2005, 239–248. doi:10.1109/TSMCA.2005.843378
  22. [22] L. Sibert & R. Jacob, Evaluation of eye gaze Interaction, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, The Hague, The Netherlands, 2000, 281–288. doi:10.1145/332040.332445
  23. [23] H. Prendinger & M. Ishizuka (Eds.), Life-like characters: tools, affective functions, and applications, Series: Cognitive Technologies (Springer, 2004), ISBN: 978-3-540-00867-5.
  24. [24] B. Zaun, Calibration of virtual cameras for augmented reality-ARCHIE: augmented reality collaborative home improvement environment, Diploma Thesis, Technical University of Munich, German, 2003.
  25. [25] A. Khamis, A. Abdel-Rahman, & M. Kamel, A distributed architecture for intelligent human-robot remote interaction, IEEE 2006 Workshop on Distributed Intelligent Systems, Prague, Czech Republic, 2006, 61–67. doi:10.1109/DIS.2006.3
  26. [26] Q. Mahmoud, Learning wireless Java (O’Reilly Press, 2002), ISBN: 978-0-596-00243-5.
  27. [27] M. Salichs, F. Rodriguez, D.M. Rivero, & A. Khamis, Pattern-oriented implementation for automatic and deliberative skills of a mobile robot, The 1st International Workshop on Advances in Service Robotics, ASER03, Italy, 2003.
  28. [28] T. Fong, F. Conti, S. Grange, & C. Baur, Novel interfaces for remote driving: gesture, haptic and PDA, SPIE 4195-33, SPIE Telemanipulator and Telepresence Technologies VII, Boston, MA, 2000, 699–704.
  29. [29] M. Maybury & W. Wahlster, Intelligent user interfaces: an introduction, in M. Maybury & W. Wahlster (Eds.), Reading in intelligent user interfaces (Morgan Kaufmann Publishers, Inc., 2002), 1–13, ISBN: 978-1-558-60444-5.
  30. [30] I. Kobsa, A user modeling: recent work, prospects, and hazards, in M. Schneider-Hufschmidt, T. Kuhme, & U. Malinowski (Eds.), Adaptive user interfaces: principles and practice (Amsterdam, North-Holland: Springer Verlag, 1993), 111–128.
  31. [31] H. Liu & P. Maes, What would they think? A computational model of attitudes, Proceedings of the ACM International Conference on Intelligent User Interfaces, IUI 2004, Portugal, 2004, 38–45.
  32. [32] J. Rasmussen, On the structure of knowledge—a morphology of mental models in a man-machine system context, Risø Report M-2192 (Roskilde, Denmark: Risø National Laboratory, 1979).
  33. [33] J. Rasmussen, The role of hierarchical knowledge representation in decision making and system management, IEEE Transactions on Systems, Man, and Cybernetics, 15 (2), 1985, 234–243.
  34. [34] L. Strachan, J. Anderson, M. Sneesby, & M. Evans, Pragmatic user modelling in a commercial software system, Proceedings of the Sixth International Conference on User Modelling, 1997, 189–200.
  35. [35] P. Buono, M. Costabile, S. Guida, A. Piccinno, & G. Tesoro, Integrating user data and collaborative filtering in a web recommendation system, Proceedings of the Third Workshop on Adaptive Hyper-text and Hypermedia, Sonthofen, Germany, 2001, 129–140.
  36. [36] M. Papagelis & D. Plexousakis, Qualitative analysis of user-based and item based prediction algorithms for recommendation agents, Journal of Engineering Applications of Artificial Intelligence, 18 (4), 2005, 781–789. doi:10.1016/j.engappai.2005.06.010
  37. [37] J. Park, P. Ratanaswasd, E. Brown, T. Rogers, K. Kawamura, & D. Wilkes, Towards a personal robotic-aid system, International Journal of Human-Friendly Welfare Robotic Systems, 5 (2), 2004, 2–12.
  38. [38] A. Ahmad, O. Basir, & K. Hassanein, Adaptive user interfaces for intelligent e-learning: issues and trends, The Fourth International Conference on Electronic Business (ICEB), Beijing, 2004, 925–934.
  39. [39] C. Martinovska, A fuzzy-based approach to user model refinement in adaptive hypermedia system, Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, Lecture Notes in Computer Science, Malaga, Spain, 2002, 411–414.
  40. [40] N. Moray, Mental models in theory and practice, in D. Gopher & A. Koriat (Eds.), Attention and performance XVII:Cognitive regulation of performance: Interaction of theory and application. Attention and performance (MIT Press, 1999), 223–258, ISBN: 978-0-262-07188-8.
  41. [41] O. St-Cyr, An ecological approach to mental models: towards assessing ecological compatibility, Human Systems in Systems Design Engineering Technical Report Series HSSD-02-01, Department of Systems Design Engineering, University of Waterloo, 2002.
  42. [42] V. Klingspor, J. Demiris, & M. Kaiser, Human-robot-communication and machine learning, Applied Artificial Intelligence, 11 (7/8), 1997, 719–746.
  43. [43] Y. Marom & G. Hayes, Maintaining attentional capacity in a social robot, Cybernetics and systems 2000: proceedings of the 15th European meeting on cybernetics and systems research, 2000, 693–698.
  44. [44] G. Hayes & J. Demiris, A robot controller using learning by imitation, Proceedings of the 2nd International Symposium on Intelligent Robotic Systems, Grenoble, France, 1994.
  45. [45] J. Demiris & G. Hayes, Imitative learning mechanisms in robots and humans, Proceedings of the 5th European Workshop on Learning Robots, Bari, Italy, 1996, 9–16.
  46. [46] C. Breazeal, A. Brooks, D. Chilongo, J. Gray, G. Hoffman, C. Kidd, H. Lee, J. Lieberman, & A. Lockerd, Working collaboratively with humanoid robots, IEEE-RAS/RSJ International Conference on Humanoid Robots (Humanoids 2004), Los Angeles, California, USA, 2004, 253–272.
  47. [47] S. Russell & P. Norvig, Artificial intelligence: a modern approach, Second Edition (Prentice Hall, 2003), ISBN: 978-013103805-9.
  48. [48] D. Chin, Intelligent interfaces as agents, in M. Maybury & W. Wahlster (Eds.), Reading in intelligent user interfaces. (Morgan Kaufmann Publishers, Inc., Fifth Edition, 2002), 343–358.
  49. [49] A. Nareyek, Constraint-based agents: an architecture for constraints-based modeling and local search-based reasoning for planning and scheduling in open and dynamic worlds (Springer, 2001), ISBN: 3540422587.
  50. [50] A. Waern, Recognizing human plans: issues for plan recognition in human-computer interaction, PhD thesis, The Royal Institute of Technology and Stockholm University, Sweden, 1996.
  51. [51] K. Kurumatani, Social coordination in architecture for physically-grounding agents, Proceedings of Landscape Frontier International Symposium, Japan, 2002, 57–62.
  52. [52] T. Takahashi, Y. Nagasaka, T. Takeshita, T. Aoki, & H. Fudaba, A decision of agent-based interface among nursing support services, Proceeding Applied Informatics, 2003, 378–391.
  53. [53] D. Ballin, R. Aylett, & C. Delgado, Towards autonomous characters for interactive media, in R. Earnshaw & J. Vince (Eds.), Intelligent agents for mobile and virtual media (Springer, 2002), 55–76, ISBN: 1-85233-556-4.
  54. [54] K. Suzuki, A. Camurri, P. Ferrentino, & S. Hashimoto, Intelligent agent system for human-robot interaction through artificial emotion, IEEE International Conference on Systems, Man, and Cybernetics, Hyatt La Jolla, San Diego, California, 1998, 1055–1060.
  55. [55] K. Kawamura, P. Nilas, K. Muguruma, J. Adams, & C. Zhou, An agent-based architecture for an adaptive human-robot interface, Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS), Hawaii, 2003, 1–8.

Important Links:

Go Back