Modeling decisions under uncertainty in adaptive user interfaces

Universal Access in the Information Society

Volumn 6, Issue 1, 2007, Pages 87-101

  Zarikas, Vasilios ^a  

^a National Telecommunications and Post Commission of Greece   (Greece)

Author keywords

Adaptive interfaces; Bayesian networks; Decision networks; HCI; HCI methodology; Influence diagrams; Intelligent interfaces; Modeling user diversity; Universal Access

Indexed keywords

BAYESIAN NETWORKS; COMPUTER SIMULATION; DATA STRUCTURES; HUMAN COMPUTER INTERACTION; KNOWLEDGE ACQUISITION; UNCERTAIN SYSTEMS;

ADAPTIVE INTERFACES; DECISION NETWORKS; INFLUENCE DIAGRAMS; INTELLIGENT INTERFACES; MODELING USER DIVERSITY; UNIVERSAL ACCESS;

USER INTERFACES;

EID: 34548038372     PISSN: 16155289     EISSN: 16155297     Source Type: Journal    
DOI: 10.1007/s10209-007-0072-1     Document Type: Article

References (54)

1. Pearl, J.: Evidential reasoning using stochastic simulation of causal models. UCLA Computer Science Department, Technical Report 860021 (R-68). Artif. Intell. 32(2), 245-258 (1987)
2. Stephanidis, C.: Towards usSr interfaces for all: some critical issues. Panel session "User Interfaces for All - Everybody, Everywhere, and Anytime". In: Anzai, Y., Ogawa, K., Mori, H. (eds.) Symbiosis of Human and Artifact - Future Computing and Design for Human-Computer Interaction [Proceedings of the 6th International Conference on Human-Computer Interaction (HCI International '95)], Tokyo, Japan, 9-14 July 1995 (vol. 1, pp. 137-142). Elsevier, Amsterdam (1995)
3. Stephanidis, C., Emiliani, P.-L.: Connecting to the information society: a European perspective. Technol. Disabil. J. 10(1), 21-44 (1999)
4. Stephanidis, C.: The concept of unified user interfaces. In: Stephanidis, C. (ed.) User Interfaces for All - Concepts, Methods, and Tools. Lawrence Erlbaum, Mahwah, pp. 371-388 (ISBN 0-8058-2967-9, 760 pp.) (2001)
5. Story, M.F.: MaxTmising usability: the principles of universal design. Assist. Technol. J. 10(1), 4-12 (1998)
6. Waern, A.: What is an intelligent interface? Notes from an introduction seminar, retrieved from http://www.sics.se/-annika/papers/intint.html (1997)
7. Salvendy, G.: Perspectives on human-computer interaction. In: Jacko, J., Sears, A. (eds.) Human Computer Interaction Handbook (2002, in press)
8. Salvendy, G.: Human computer interaction. In: Karwowski, W. (ed.) International Encyclopedia of Ergonomics and Human Factors. Taylor & Francis, London (2000)
9. Chen, B., Wang, H., Proctor, R., Salvendy, G.: A human-centered approach for improving world wide web browsers. Behav. Res. Methods Instrum. Comput. 29 (2), 172-179 (1997)
10. Dong, J., Fu, P., Salvendy, G.: Human-Computer Interaction: User Centered Design and Evaluation, pp. 204. Tsinghua Press, Beijing (2004)
11. Zarikas, V., Paramythis, A., Stephanidis, C.: Decision-theoretic approaches to user interface adaptation: Implications on universal access. In: Proceedings of the "HCI International 2001", 9th International Conference on Human Computer Interaction, New Orleans, USA, 5-10 August 2001
12. Karagiannidis, C., Koumpis, A., Stephanidis, C.: Modelling decisions in intelligent user interfaces. Int. J. Intell. Syst. 12(10), 753-762 (1997)
13. Brusilovsky, P.: Methods and techniques of adaptive hypermedia. User Model. User-Adapt. Interact. 6(2-3), 87-129 (1996)
14. Kobsa, A.:RUser modelling: recent work, prospects and hazards. In: Schneider-Hufschmidt, M., Kühme, T., Malinowski, U. (eds.) Adaptive User interfaces: Principles and practice, pp. 111-128. Elsevier, Amsterdam (1993)
15. Zukerman, I., Albrecht, D.W.: Predictive statistical models for user modeling. User Model. User-Adapt. Interact. 11, 5-18 (2001)
16. Fischer, G.: User modeling in human-computer interaction. User Model. User-Adapt. Interact. 11, 65-86 (2001)
17. Liu, H., Maes, P.: What would they think? A computational model of attitudes, IUI'04, 13-16 January 2004
18. Fink, J., Kobsa, A.: User modeling for personalized city tours. Artif. Intell. Rev. 18, 33-74 (2002)
19. Carberry, S.: Techniques for plan recognition. User Model. User-Adapt. Interact. 11, 31-48 (2001)
20. Webb, G.I., Pazzani, M.J., Billsus, D.: Machine learning for user modeling. User Model. User-Adapt. Interact. 11, 19-29 (2001)
21. Marmasse, N., Schmandt, C.: A user-centered location model. Personal Ubiquitous Comput. 6, 318-321 (2002)
22. Hudson, S.E., Fogarty, J., Atkeson, C.G., Avrahami, D., Forlizzi, J., Kiesler, S., Lee, J.C., Yang, J.: Predicting human interruptibility with sensors: A wizard of oz feasibility study, CHI, 5-10 April 2003
23. ERCIM WG "SESAMI" about "Universal Access in Ambient Intelligence Environments" (http://www.ics.forth.gr/sesami)
24. De Bra, P.: Design issues in adaptive web-site development. In: Proceedings of the 2nd Workshop on Adaptive Systems and User Modeling on the WWW (1999)
25. Jensen, F.V.: An Introduction to Bayesian Networks. UCL Press Limited, London (2000)
26. Pearl, J., Russel, S.: Bayesian networks. UCLA Cognitive Systems Laboratory, Technical Report (R-277). In: Arbib, M.A. (ed.) Handbook of Brain Theory and Neural Networks, pp. 157-160. MIT Press, Cambridge (2003)
27. Pearl, J.: Bayesian networks. UCLA Cognitive Systems Laboratory, Technical Report (R-246), Revision I, July 1997. In: MIT Encyclopedia of the Cognitive Sciences, Cambridge (1999)
28. Pearl, J.: Fusion, propagation and structuring in belief networks. UCLA Computer Science Department, Technical Report 850022 (R-42). Artif. Intell. 29(3), 241-288 (1986)
29. Pearl, J., Verma, T.: The logic of representing dependencies by directed graphs. UCLA Cognitive Systems Laboratory, Technical Report 870004 (R-79). In: Proceedings of the AAAI Conference, Seattle, WA, pp. 374-379 (1987)
30. Horvitz, E.J., Breese, J.S., Henrion, M.: Decision Theory in Expert Systems and Artificial Intelligence (1988)
31. Pearl, J.: Influence diagrams - Historical and personal perspectives. UCLA Cognitive Systems Laboratory, Technical Report (R-326). Decis. Anal. 2 (4):232-234 (2005)
32. Brown, S.M., Santos, E., Banks, S.B.: A dynamic Bayesian intelligent interface agent. In: Proceedings of the 6th International Interfaces Conference (Interfaces 97), Montpellier, France, pp. 118-120 (1997)
33. Horvitz. E.: Principles of mixed-initiative user interfaces. In: Proceedings of CHI '99, ACM SIGCHI Conference on Human Factors in Computing Systems, Pittsburgh (1999)
34. Murray, R.C., VanLehn, K.: DT Tutor: A decision-theoretic, dynamic approach for optimal selection of tutorial actions. In: Gauthier, G., Frasson, C., VanLehn, K. (eds.) Proceedings of the 5th International Conference on Intelligent Tutoring Systems. Lecture Notes in Computer Science, Montreal, Canada, vol. 1839, pp. 153-162. Springer, Heidelberg (2000)
35. Brusilovsky, P., Cooper, D.W.: Domain, task, and user models for an adaptive hypermedia performance support system, IUI'02, 13-16 January 2002
36. Faltings, B., Torrens, M., Viappiani, P.: Designing example-critiquing interaction, IUI'04, 13-16 January 2004
37. Horvitz, E., Breese, J., Heckerman, D., Hovel, D., Rommelse, K.: The Lumiere Project: Bayesian user modeling for inferring the goals and needs of software users. In: Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, Madison, WI, pp. 256-265 (1998)
38. Albrecht, D.W., Zukerman, I., Nicholson, A.E., Bud, A.: Towards a Bayesian model for keyhole plan recognition in large domains. In: Jameson, A., Paris, C., Tasso, C. (eds.) Proceedings of the 6th International Conference User Modeling, UM97, Vienna, New York, pp. 365-376 (1997)
39. Corbett, A.T., Bhatnagar, A.: Student modeling in the ACT programming tutor: Adjusting a procedural learning model with declarative knowledge. In: Jameson, A., Paris, C., Tasso, C. (eds.) Proceedings of the Sixth International Conference User Modeling, UM97, Vienna, New York, pp. 243-254 (1997)
40. Noh, S., Gmytrasiewicz, P.J.:AAgent modeling in antiair defense: a case study. In: Jameson, A., Paris, C., Tasso, C. (eds) Proceedings of the Sixth International Conference User Modeling, UM97, Vienna, New York, pp. 389-400 (1997)
41. Bull, S., Greer, J., McCalla, G., Kettel, L., Bowes, J.: User modelling in i-help: What, why, when and how. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds.) 8th International Conference User Modeling 2001, pp. 117-126. Springer, Berlin (2001)
42. Zukerman, I.: An integrated approach for generating arguments and rebuttals and understanding rejoinders. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds.) 8th International Conference User Modeling 2001, pp. 117-126. Springer, Heidelberg (2001)
43. Zhou, X., Conati, C.: Inferring user goals from personality and behavior in a causal model of user affect, IUI'03, 12-15 January 2003
44. Gmytrasiewicz, P.J., Noh, S., Kellog, T.: Bayesian update of recursive agent models. User Model. User-Adapt. Interact. 8, 49-69 (1998)
45. Conati, C., Gertner, A., VanLehn, K., Druzdzel, M.: Online student modeling for coached problem solving using Bayesian networks. In: Proceedings of the Sixth International Conference on User Modeling, Sardinia, Italy, User Modeling, pp. 231-242. Springer, Heidelberg (1997)
46. Pearl, J.: Statistics and cAusal inference: a review. Test J. 12(2), 281-345 (with discussions) (2003)
47. Pearl, J.: Causal Inference in Statistics: A Gentle Introduction, UCLA Cognitive Systems Laboratory, Technical Report (R-289), August 2001. In: Computing Science and Statistics, Proceedings of Interface '01, vol. 33 (2001)
48. Pearl, J.: Bayesian Networks, Causal Inference and Knowledge Discovery, UCLA Cognitive Systems Laboratory, Technical Report (R-281), March 2001. In Second Moment, March 1, 2001
49. Johnsgrad, T.J.S.R., Wilson, P.R.D., Zeno, R.J.: Comparison of graphical user interface widgets for various tasks. In: Proceedings of the Human Factors and Ergonomics Society 39th Annual Meeting, San Diego, 9-13 October 1995
50. GeNIe, University of Pittsburgh http://www.genie.sis.pitt.edu/; Netica, Norsys Software Corp. http://www.norsys.com/ ;Hugin, Hugin Expert A/S. http://www.hugin.com/; DATA 3.0, TreeAge Soft. Inc. http://www.treeage.com/; Analytica, Lumina Decision Systems, http://www.lumina.com/
51. Cassimatis, N.L.: Polyscheme: A Cognitive Architecture for Integrating Multiple Representation and Inference Schemes. Doctoral Dissertation, Media Laboratory, Massachusetts Institute of Technology, Cambridge (2002)
52. Zarikas, V., Papatzanis, G., Stephanidis, C.: An architecture for a self-adapting information system for tourists. In: Proceedings of the conference: Human Computer Interaction with Mobile Devices, IHM-HCI 2001, Lille, France (2001)
53. Stephanidis, C., Paramythis, A., Zarikas, V., Savidis, A.: User-, platform-, and location-adapted information services over the Web. In: Seffah, A., Javahery, H. (eds.) Multi-Device User Interfaces: Engineering and Application Frameworks. Wiley, New York (2003)
54. Zarikas, V., Stephanidis, C.: Location aware adaptive mobile computing. In: Proceedings of HCI International 2003, 10th International Conference on Human-Computer Interaction, 22-27 June 2003