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Layered evaluation of interactive adaptive systems: framework and formative methods
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“This is a well known issue in evaluating interactive adaptive systems (c.f. Paramythis et al., 2010).”
From Affective learning: Improving engagement and enhancing learning with affect-aware feedback (2017) · cites this paper as Paramythis et al., 2010
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Paramythis, A., & Weibelzahl, S. (2005) · Lecture notes in computer science · doi:10.1007/11527886_60 · Cited by 44
Self-citationEvaluation of Adaptive Systems
Weibelzahl, S. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44566-8_49 · Cited by 44
Self-citationNückles, M., Winter, A., Wittwer, J., Herbert, M., & Hübner, S. (2006) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-006-9000-y · Cited by 43
Adaptive feedback generation to support teachers in web-based distance education
Kosba, E., Dimitrova, V. G., & Boyle, R. (2007) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-007-9031-z · Cited by 42
The Effectiveness of Personalized Movie Explanations: An Experiment Using Commercial Meta-data
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Self-citationAdaptive testing for hierarchical student models
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Limongelli, C., Sciarrone, F., & Vaste, G. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-70987-9_16 · Cited by 39
Smart Indicators on Learning Interactions
Glahn, C., Specht, M. M., & Koper, R. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-75195-3_5 · Cited by 39
A Scrutable Adaptive Hypertext
Czarkowski, M., & Kay, J. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47952-x_43 · Cited by 39
Evaluating the Inference Mechanism of Adaptive Learning Systems
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Self-citationPEACH - Intelligent Interfaces for Museum Visits (Cognitive Technologies)
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Adaptive Evolutionary Information Systems
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Configuration agents, control and privacy
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Logic-Based Representation and Reasoning for User Modeling Shell Systems
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A User Interface Integrating Adaptability and Adaptivity
Krogsæter, M., Oppermann, R., & Thomas, C. G. (2017) · CRC Press eBooks · doi:10.1201/9781315136660-4 · Cited by 34
A multifactor approach to student model evaluation
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Human or Computer? AutoTutor in a Bystander Turing Test
The Tutoring Research Group, Person, N. K., & Graesser, A. C. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47987-2_82 · Cited by 33
The Evaluation of Adaptive Systems
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Encarnação, L. M., & Stoev, S. L. (1999) · Courses and lectures · doi:10.1007/978-3-7091-2490-1_24 · Cited by 31
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Horvitz, E., & Paek, T. (2007) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-006-9026-1 · Cited by 27
Efficient and non-parametric reasoning over user preferences
Domshlak, C., & Joachims, T. (2007) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-006-9022-5 · Cited by 27
Adaptation as a Problem of Design
Totterdell, P., & Rautenbach, P. (1990) · Elsevier eBooks · doi:10.1016/b978-0-12-137755-7.50008-x · Cited by 26
Towards Inferring Sequential-Global Dimension of Learning Styles from Mouse Movement Patterns
Spada, D., Sánchez-Montañés, M. A., Paredes, P., & Carro, R. M. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-70987-9_48 · Cited by 23
Evaluating the Impact of Adaptation to Learning Styles in a Web-Based Educational System
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The Continuous Empirical Evaluation Approach: Evaluating Adaptive Web-Based Courses
Ortigosa, Á., & Carro, R. M. (2003) · Lecture notes in computer science · doi:10.1007/3-540-44963-9_22 · Cited by 22
Utility-Based Evaluation of Adaptive Systems
Herder, E. (2003) · University of Twente Research Information · Cited by 22
The Evaluation of Adaptive Systems
Masthoff, J. (2003) · IGI Global eBooks · doi:10.4018/978-1-59140-034-9.ch015 · Cited by 21
Self-citationWhen and Why Does Mastery Learning Work: Instructional Experiments with ACT-R “SimStudents”
MacLaren, B., & Koedinger, K. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-47987-2_39 · Cited by 20
Tailoring Automatically Generated Hypertext
Bontcheva, K., & Wilks, Y. A. (2005) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-004-5637-6 · Cited by 19
On Evaluating Adaptive Systems for Education
Arruabarrena, R., Pérez, T. A., López-Cuadrado, J., Gutiérrez, J., & Vadillo, J. A. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47952-x_38 · Cited by 17
Introduction to the special issue on statistical and probabilistic methods for user modeling
Albrecht, D. W., & Zukerman, I. (2007) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-006-9025-2 · Cited by 17
LaboUr - Machine Learning for User Modeling.
Pohl, W. (1997) · Cited by 16
Modelling a Receiver’s Position to Persuasive Arguments
Nguyen, H. P. N., Masthoff, J., & Edwards, P. J. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-77006-0_33 · Cited by 15
Self-citationUser Modeling Meets Usability Goals
Jameson, A. (2005) · Lecture notes in computer science · doi:10.1007/11527886_1 · Cited by 15
Personalizing influence diagrams: applying online learning strategies to dialogue management
Chickering, D. M., & Paek, T. (2006) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-006-9020-7 · Cited by 15
Designing and Redesigning an Affective Interface for an Adaptive Museum Guide
Goren‐Bar, D., Graziola, I., Rocchi, C., Pianesi, F., Stock, O., & Zancanaro, M. (2005) · Lecture notes in computer science · doi:10.1007/11573548_120 · Cited by 12
Dumas, J. S., & Loring, B. A. (2008) · Cited by 11
Layered Evaluation of Adaptive Search
Brusilovsky, P. L., Farzan, R., & Ahn, J. (2006) · Cited by 10
Tintarev, N., & Masthoff, J. (2009) · Cited by 10
Self-citationPersuasion Artifices to Promote Wellbeing
de Rosis, F., Mazzotta, I., Miceli, M., & Poggi, I. (2006) · Lecture notes in computer science · doi:10.1007/11755494_12 · Cited by 9
Preface to the special issue on data mining for personalization
Mobasher, B., & Tuzhilin, A. (2008) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-008-9060-2 · Cited by 9
Ley, T., Kump, B., Antonia, M., Maiden, N., & Albert, D. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02247-0_32 · Cited by 9
Agent-Based Group Modelling for Ambient Intelligence
Masthoff, J., Vasconcelos, W. W., Aitken, C., & da Silva, F. S. C. (2007) · Cited by 9
Self-citationPredicting time-sharing in mobile interaction
Miettinen, M., & Oulasvirta, A. (2007) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-007-9033-x · Cited by 8
What Do You Want to Know? Investigating the Information Requirements of Patient Supporters
Moncur, W., Masthoff, J., & Reiter, E. (2008) · IEEE International Symposium on Computer-Based Medical Systems (CBMS) · doi:10.1109/cbms.2008.36 · Cited by 8
Self-citationDiscovering stages in web navigation for problem-oriented navigation support
Hollink, V., van Someren, M., & Wielinga, B. J. (2006) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-006-9017-2 · Cited by 7
Totterdell, P., Rautenbach, P., Wilkinson, A., & Anderson, S. O. (1990) · Elsevier eBooks · doi:10.1016/b978-0-12-137755-7.50010-8 · Cited by 7
AnAmeter: The First Steps to Evaluating Adaptation
Tarpin-Bernard, F., Marfisi-Schottman, I., & Habieb-Mammar, H. (2009) · HAL · Cited by 7
Developing Instrument for Handset Usability Evaluation: A Survey Study
Zhang, T., Rau, P. P., & Salvendy, G. (2007) · Springer eBooks · doi:10.1007/978-3-540-73105-4_73 · Cited by 6
Inferences, suppositions and explanatory extensions in argument interpretation
George, S., Zukerman, I., & Niemann, M. (2007) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-007-9034-9 · Cited by 6
Guiding Learners in Learning Management Systems through Recommendations
Santos, O. C., & Boticario, J. G. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04636-0_54 · Cited by 5
Discovering Stages in Web Navigation
Hollink, V., van Someren, M., & ten Hagen, S. (2005) · Lecture notes in computer science · doi:10.1007/11527886_65 · Cited by 5
Parallel Presentations for Heterogenous User Groups – An Initial User Study
Kruppa, M., & Aslan, I. (2005) · Lecture notes in computer science · doi:10.1007/11590323_6 · Cited by 4
Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains
Schmidt, D. F., Zukerman, I., & Albrecht, D. W. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02247-0_21 · Cited by 4
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An Evaluation of the Accuracy of Capturing User Intent for Information Retrieval.
Nguyen, H. P. N., & Santos, E. (2007) · Cited by 3
Intelligent Support to the Retrieval of Information About Hydric Resources
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Cited by
Sorted by citations
Explaining the user experience of recommender systems
Knijnenburg, B. P., Willemsen, M. C., Gantner, Z., Soncu, H., & Newell, C. (2012) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-011-9118-4 · Cited by 878
Evaluating recommender systems from the user’s perspective: survey of the state of the art
Pu, P., Chen, L., & Hu, R. J. (2012) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-011-9115-7 · Cited by 377
“This method is called layered evaluation in Paramythis et al. (2010).”
MethodEvaluating the effectiveness of explanations for recommender systems
Tintarev, N., & Masthoff, J. (2012) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-011-9117-5 · Cited by 364
“We used the layered evaluation framework, which advocates that adaptation needs to be decomposed and assessed in layers in order to be evaluated effectively (Paramythis et al. 2010).”
MethodSelf-citationPersonalization in cultural heritage: the road travelled and the one ahead
Ardissono, L., Kuflik, T., & Petrelli, D. (2012) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-011-9104-x · Cited by 257
“As for all other aspects of personalization research, the system and user evaluation would benefit from a common effort and the creation of a shared understanding of which new systems should be evaluated, and how (Weibelzahl, 2002; Paramythis et al., 2010).”
BackgroundSusan Bull, A., & Kay, J. (2016) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-015-0090-8 · Cited by 180
“…J paper is cited as indicated in Table 3, this has mostly been as a reference to the existence of the framework (e.g. Brusilovsky et al., 2011; Paramythis et al., 2010), as a detailed review and/or as giving examples of open learner models (e.g. Hsiao & Brusilovsky, 2012; Kump et al., 2012),…”
BackgroundMethod
Metadata
- Authors
- Paramythis, A., Weibelzahl, S., & Masthoff, J.
- Affiliations
- Johannes Kepler University of Linz (AT)
- National College of Ireland (IE)
- University of Aberdeen (GB)
- Corresponding author
- Paramythis, Alexandros
- Weibelzahl, Stephan
- Masthoff, Judith
- Venue
- User Modeling and User-Adapted Interaction
- Published
- 2010-11-28
- Volume
- 20
- Issue
- 5
- Pages
- 383-453
- ISSN
- 0924-1868 (ISSN-L)
- 1573-1391
- OpenAlex
- W2032468592
- Cited by
- 145
- References
- 201
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 5 · 2023: 5 · 2022: 6 · 2021: 18 · 2020: 6 · 2019: 10 · 2018: 7 · 2017: 9 · 2016: 14 · 2015: 10 · 2014: 12 · 2013: 12 · 2012: 17
- FWCI
- 21.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- User Modeling and User-Adapted Interaction (publishedVersion)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Software › Advanced Software Engineering Methodologies
- Keywords
- adaptive systems, interactive systems, development life cycle, user modeling
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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