skip to main content
Skip header Section
User models in dialog systemsJanuary 1990
Publisher:
  • Springer-Verlag
  • Berlin, Heidelberg
ISBN:978-0-387-18380-0
Published:03 January 1990
Pages:
471
Skip Bibliometrics Section
Bibliometrics
Abstract

No abstract available.

Cited By

  1. ACM
    Wiehr F, Hirsch A, Schmitz L, Knieriemen N, Krüger A, Kovtunova A, Borgwardt S, Chang E, Demberg V, Steinmetz M and Hoffmann J Why Do I Have to Take Over Control? Evaluating Safe Handovers with Advance Notice and Explanations in HAD Proceedings of the 2021 International Conference on Multimodal Interaction, (308-317)
  2. ACM
    Liao Q, Mas-ud Hussain M, Chandar P, Davis M, Khazaeni Y, Crasso M, Wang D, Muller M, Shami N and Geyer W All Work and No Play? Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, (1-13)
  3. Kuflik T, Mumblat Y and Dim E Enabling mobile user modeling Proceedings of the Second ACM International Conference on Mobile Software Engineering and Systems, (48-51)
  4. ACM
    Ahn J, Brusilovsky P and Han S Personalized Search Proceedings of the 20th International Conference on Intelligent User Interfaces, (202-212)
  5. ACM
    Dim E and Kuflik T (2014). Automatic Detection of Social Behavior of Museum Visitor Pairs, ACM Transactions on Interactive Intelligent Systems, 4:4, (1-30), Online publication date: 28-Jan-2015.
  6. Aly A and Tapus A A model for synthesizing a combined verbal and nonverbal behavior based on personality traits in human-robot interaction Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction, (325-332)
  7. ACM
    Kay J and Kummerfeld B (2013). Creating personalized systems that people can scrutinize and control, ACM Transactions on Interactive Intelligent Systems, 2:4, (1-42), Online publication date: 1-Dec-2012.
  8. Aggarwal A and Kumar N (2011). SAHAM: Shared Adaptive Hypermedia Application Model, International Journal of Computer Applications in Technology, 40:1/2, (138-145), Online publication date: 1-Feb-2011.
  9. ACM
    Islinger T, Köhler T and Wolff C Human modeling in a driver analyzing context Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications, (99-104)
  10. Sosnovsky S and Dicheva D (2010). Ontological technologies for user modelling, International Journal of Metadata, Semantics and Ontologies, 5:1, (32-71), Online publication date: 1-Apr-2010.
  11. Milani A, Leung C, Baioletti M and Suriani S An evolutionary algorithm for adaptive online services in dynamic environment Proceedings of the 2008 conference on Applications of evolutionary computing, (626-632)
  12. ACM
    Rashid A, Karypis G and Riedl J (2008). Learning preferences of new users in recommender systems, ACM SIGKDD Explorations Newsletter, 10:2, (90-100), Online publication date: 20-Dec-2008.
  13. Kobsa A Generic user modeling systems The adaptive web, (136-154)
  14. ACM
    Stevens G and Wiedenhöfer T CHIC - a pluggable solution for community help in context Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles, (212-221)
  15. Falcinelli E, Marcugini S and Milani A An Architecture for Dynamical News Providers Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology, (200-203)
  16. Milani A and Marcugini S An architecture for evolutionary adaptive web systems Proceedings of the First international conference on Internet and Network Economics, (444-454)
  17. ACM
    Milani A, Suriani S and Marcugini S Evolutionary online services Proceedings of the 7th international conference on Electronic commerce, (343-349)
  18. Thompson C, Göker M and Langley P (2004). A personalized system for conversational recommendations, Journal of Artificial Intelligence Research, 21:1, (393-428), Online publication date: 1-Jan-2004.
  19. Milani A and Suriani S ADAN Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence, (779-780)
  20. Müller M (2004). Can user models be learned at all? Inherent problems in machine learning for user modelling, The Knowledge Engineering Review, 19:1, (61-88), Online publication date: 1-Mar-2004.
  21. Stephanidis C and Savidis A Unified user interface development The human-computer interaction handbook, (1069-1089)
  22. Jameson A Adaptive interfaces and agents The human-computer interaction handbook, (305-330)
  23. Delisle S and Moulin B (2002). User interfaces and help systems, Artificial Intelligence Review, 18:2, (117-157), Online publication date: 1-Oct-2002.
  24. ACM
    Derycke A and Rouillard J La personnalisation de I'interaction dans des contextes multimodaux et multicanaux Proceedings of the 14th Conference on l'Interaction Homme-Machine, (97-104)
  25. Levin M (2002). Towards Combinatorial Analysis, Adaptation, and Planning of Human-Computer Systems, Applied Intelligence, 16:3, (235-247), Online publication date: 27-Feb-2002.
  26. ACM
    Branco P Challenges for multimodal interfaces towards anyone anywhere accessibility Proceedings of the 2001 EC/NSF workshop on Universal accessibility of ubiquitous computing: providing for the elderly, (26-27)
  27. ACM
    Aberg J, Shahmehri N and Maciuszek D User modelling for live help systems Proceedings of the 3rd ACM conference on Electronic Commerce, (194-197)
  28. Kobsa A (2001). Generic User Modeling Systems, User Modeling and User-Adapted Interaction, 11:1-2, (49-63), Online publication date: 27-Mar-2001.
  29. Zukerman I and Albrecht D (2001). Predictive Statistical Models for User Modeling, User Modeling and User-Adapted Interaction, 11:1-2, (5-18), Online publication date: 27-Mar-2001.
  30. Zukerman I and Litman D (2001). Natural Language Processing and User Modeling, User Modeling and User-Adapted Interaction, 11:1-2, (129-158), Online publication date: 27-Mar-2001.
  31. Fischer G (2001). User Modeling in Human–Computer Interaction, User Modeling and User-Adapted Interaction, 11:1-2, (65-86), Online publication date: 27-Mar-2001.
  32. Mc Kevitt P (2000). Editorial, Artificial Intelligence Review, 14:1-2, (1-4), Online publication date: 1-Apr-2000.
  33. Hegner S, Mc Kevitt P, Norvig P and Wilensky R (2000). EditorialIntelligent Help Systems for UNIX, Artificial Intelligence Review, 14:4-5, (277-281), Online publication date: 1-Oct-2000.
  34. Hegner S, Mc Kevitt P, Norvig P and Wilensky R (2000). EditorialIntelligent Help Systems for UNIX, Artificial Intelligence Review, 14:3, (149-152), Online publication date: 1-Jun-2000.
  35. ACM
    Ardissono L, Barbero C, Goy A and Petrone G An agent architecture for personalized Web stores Proceedings of the third annual conference on Autonomous Agents, (182-189)
  36. Simone C and Divitini M (1999). Integrating Contexts to Support Coordination, Computer Supported Cooperative Work, 8:3, (239-283), Online publication date: 1-Jun-1999.
  37. Peschl M and Stary C (1998). The Role of Cognitive Modeling for User Interface Design Representations, Minds and Machines, 8:2, (203-236), Online publication date: 1-May-1998.
  38. Biermann A, Fulkerson M and Keim G Speech-graphics dialogue systems Interactive Spoken Dialog Systems on Bringing Speech and NLP Together in Real Applications, (121-126)
  39. ACM
    Encarnação L Multi-level user support through adaptive hypermedia Proceedings of the 2nd international conference on Intelligent user interfaces, (187-194)
  40. Smith R, Biermann A and Hipp D (1995). An architecture for voice dialog systems based on prolog-style theorem proving, Computational Linguistics, 21:3, (281-320), Online publication date: 1-Sep-1995.
  41. Akiba T and Tanaka H A Bayesian approach for user modeling in dialogue systems Proceedings of the 15th conference on Computational linguistics - Volume 2, (1212-1218)
  42. ACM
    de Rosis F, Cozza M, de Carolis B, Errore S, Pizzutilo S and de Zegher I Adaptive interaction with knowledge-based systems Proceedings of the workshop on Advanced visual interfaces, (192-199)
  43. ACM
    Kobsa A User modeling and user-adapted interaction Conference Companion on Human Factors in Computing Systems, (415-416)
  44. ACM
    Catarci T, Chang S, Costabile M, Levialdi S and Santucci G A multiparadigmatic visual environment for adaptive access to databases INTERACT '93 and CHI '93 Conference Companion on Human Factors in Computing Systems, (7-8)
  45. ACM
    Johnson H and Johnson P Explanation facilities and interactive systems Proceedings of the 1st international conference on Intelligent user interfaces, (159-166)
  46. ACM
    Tißen A Knowledge bases for user guidance in information seeking dialogues Proceedings of the 1st international conference on Intelligent user interfaces, (149-156)
  47. ACM
    Boyle C and Teh S Multimedia intelligent documentation Proceedings of the 11th annual international conference on Systems documentation, (21-27)
  48. Smith R, Hipp D and Biermann A A dialog control algorithm and its performance Proceedings of the third conference on Applied natural language processing, (9-16)
  49. ACM
    Hoppe H and Schiele F Towards task models for embedded information retrieval Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, (173-180)
  50. ACM
    Fischer G, Lemke A, Mastaglio T and Morch A Using critics to empower users Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, (337-347)
  51. ACM
    Zinßmeister G EXPRESS: an experimental interface for factual information retrieval Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval, (63-81)
  52. Wahlster W (1988). Distinguishing user models from discourse models, Computational Linguistics, 14:3, (101-103), Online publication date: 1-Sep-1988.
  53. Kobsa A (1988). User models and discourse models, Computational Linguistics, 14:3, (91-94), Online publication date: 1-Sep-1988.
  54. Cohen R (1988). On the relationship between user models and discourse models, Computational Linguistics, 14:3, (88-90), Online publication date: 1-Sep-1988.
  55. Chin D (1988). User models and discourse models, Computational Linguistics, 14:3, (86-87), Online publication date: 1-Sep-1988.
  56. Kass R and Finin T (1988). Modeling the user in natural language systems, Computational Linguistics, 14:3, (5-22), Online publication date: 1-Sep-1988.
Contributors
  • University of California, Irvine
  • German Research Center for Artificial Intelligence (DFKI)

Recommendations

Reviews

Claudiu Popescu

User models have an important place in the developing field of human-computer interfaces. Their goal is to create flexible user-oriented dialogue. The user's behavior must be modeled. A further step is to construct online models by interfacing with the user. This collection of papers submitted to an international workshop on user modeling is divided into four parts. Part 1 contains three survey chapters. They provide a good tutorial on user models. The first chapter, by the editors of this volume, deals with the construction, representation, and exploitation of user models. This material is a basic starting point in this domain. The chapter contains the main definitions, some good examples, and references to the main works on each subject. It ends with some unsolved problems and options for future research. The second chapter is by Elaine Rich, who introduced the term user modeling a decade ago. This chapter defines stereotypes: frames with attributes and their values. Rich shows how stereotypes can be a useful tool in creating user models. The third chapter, by Kobsa, deals with the beliefs and goals of users. The author classifies beliefs and goals clearly and mathematically. A table shows how the existing models satisfy each member of this taxonomy. This interesting chapter is followed by a discussion that presents additional criteria for refining the taxonomy. Part 2, “Building User Models,” has four chapters. The papers deal with techniques for implementing relevant facts about the user's beliefs, goals, and plans. The recognition of these facts is important. The first chapter covers KNOME, the user model component of a natural language consultation system for UNIX. The system uses the model to learn how much the user knows about UNIX. A double stereotype system represents the user's expertise and the difficulty of the information required by the user. Much of the chapter deals with deducing the user's level of expertise. The second chapter is about detecting and responding to the misconceptions of the user and has applications in UNIX. The goal is to make the system cooperative so that it becomes an advisor to the user. The author presents an interesting taxonomy of potential explanations for incorrect beliefs of the advisor. The third chapter of this part is about plan recognition. I found it more difficult to read than the other chapters. It presents solutions found in the literature, followed by the author's own research. A special formalism is used for presenting examples. The author gives a strategy for inferring the context model from the dialogue. The fourth chapter is about learning the user's language. Users differ in their linguistic expressions, but each user is consistent over time. This chapter presents a method for generating a specific parser for a particular user. This approach can make the computer friendlier. Three methods of compensating for the limitations of natural language communication are known: (1) requiring the user to learn the interface exactly; (2) extending the interface to various users; and (3) the user-adaptable interface, which meets the user's language. The chapter describes this third method. Examples are from a parser called MULTIPAR. The chapter provides some interesting data about the experience. The examples are described in LISP. Part 3, “Exploiting User Models,” contains four chapters. They examine applications of the theory in more detail. The first chapter gives an example of how encyclopedias are written for adults and for young people. This example is a starting point for a system called TAILOR, which generates descriptions adapted to the user's level of expertise. The second chapter discusses a user model for responding to misconceptions. Examples are taken from interactions with databases and expert systems. The third chapter is a deep analysis of how the user can think about the user model in the interface. It raises some questions and provides some implementation results to answer the questions. The fourth chapter is about educational diagnosis. The last part of the book has the title “Shortcomings of Current Models, Prospects for the Future.” Its purpose is to understand user models better and to build better models. Four chapters make up this part. The first chapter is a good survey of the state of the art; it shows the flaws in current user models. Although the conclusions are pessimistic, the solution is to take a more modest approach to this complex problem. I especially liked the second chapter, which deals with the problem of modeling the user's wants. The authors deal with the last phase of the system development cycle: reorganizing the field of research using the experience that has been gained. They present clear examples and their implementation on the system HAM-ANS. The next chapter deals with student modeling in computer-aided instruction and its relation to user models. The final chapter presents GUMS (a General User Modeling Shell). This user modeling system is intended to provide a set of services for an application system interacting with various users. The system builds and maintains models of the users. This collection of papers is organized as a tutorial. It is addressed to researchers in software, linguistics, and psychology. The field is new and therefore the chapters are rather difficult, but the editors achieve their purpose of presenting an introduction and survey of the area. I was impressed by the bibliography, which provides cross-references between the papers and the pages where they are cited. The subject index is very good: it permits a comparison of how a subject is treated by different authors. The physical form is very good. It is a pleasure to hold such a beautiful book.

Access critical reviews of Computing literature here

Become a reviewer for Computing Reviews.