The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
User modeling via stereotypes
Abstract
This paper addresses the problems that must be considered if computers are going to treat their users as individuals with distinct personalities, goals, and so forth. It first outlines the issues, and then proposes stereotypes as a useful mechanism for building models of individual users on the basis of a small amount of information about them. In order to build user models quickly, a large amount of uncertain knowledge must be incorporated into the models. The issue of how to resolve the conflicts; hot will arise along such inferences is discussed. A system, Grundy, is described that builds models of its users, with the aid of stereotypes, and then exploits those models to guide it in its task, suggesting novels that people may find interesting. If stereotypes are to be useful to Grundy, they must accurately characterize the users of the system. Some techniques to modify stereotypes on the basis of experience are discussed. An analysis of Grundy's performance shows that its user models are effective in guiding its performance.
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Cites
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ELLIS, D. (1989) · Journal of Documentation · doi:10.1108/eb026843 · Cited by 962
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Generation and evaluation of user tailored responses in multimodal dialogue
Walker, M. A., Whittaker, S. J., Stent, A., Maloor, P., Moore, J., Johnston, M., & Vasireddy, G. (2004) · Cognitive Science · doi:10.1016/j.cogsci.2004.06.002 · Cited by 125
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Demberg, V., Winterboer, A., & Moore, J. D. (2011) · Computational Linguistics · doi:10.1162/coli_a_00064 · Cited by 34
Refocusing on Relevance: Personalization in NLG
Dudy, S., Bedrick, S., & Webber, B. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2021.emnlp-main.421 · Cited by 17
A User Modelling Wizard for People with Motor Impairments
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Metadata
- Authors
- RICH, E.
- Venue
- Cognitive Science
- Publisher
- Wiley
- Published
- 1979-10
- Volume
- 3
- Issue
- 4
- Pages
- 329-354
- ISSN
- 0364-0213 (ISSN-L)
- OpenAlex
- W2147859400
- Cited by
- 1,013
- References
- 1
- FWCI
- 9.67
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
