Dr. ir. Natalia (Natasha) Stash I am an academic advisor for bachelor students of Electrical Engineering dpt. Eindhoven University of Technology Contact information P.O. Box 513 5600 MB Eindhoven, NL E-mail: n.v.stash at tue.nl

My research interests include but are not limited to:
(authoring of) adaptive Web-based systems, personalisation, user modelling, human- technology interaction, e-culture applications, (semantic) Web technologies, cognitive/learning styles, visualisation, Web science

Projects

AHA! (Adaptive Hypermedia for All)

CHIP (Cultural Heritage Information Personalization)

GRAPPLE (Generic Responsive Adaptive Personal Learning Environment)

EOOE4EU (EIT Open Online Education For Europe)

AUTHEW EU Lifelong Learning Project (Autism in Higher Education: Widening Access)

Adaptive Learning (in collaboration with De Roode Kikker)

PhD thesis information

Incorporating Cognitive/Learning Styles in a General-Purpose Adaptive Hypermedia System

This research concerns providing support for adaptation to user's learning/cognitive styles in adaptive hypermedia systems in general, and in AHA! system (The Adaptive Hypermedia Architecture) in particular. At the Eindhoven University of Technology the development of the AHA! system (author prof. Paul De Bra) dates back to 1996. Since July 2001 Natalia Stash was assigned as an assistant researcher in AHA! project. Later on the idea of incorporating learning styles in the system was proposed as a topic for a PhD thesis.

Adaptive hypermedia tries to deal with the fact that the users are individuals. Most adaptive educational systems take into account learner features like goals/tasks, knowledge, background, hyperspace experience, preferences and interests. However, less attention has been paid in adaptive hypermedia to the fact that people have different approaches to learning, namely that the individuals perceive and process information in very different ways. We refer to these differences as Learning Styles.

Recent researches are trying to alleviate this and integrate learning styles in the design of their adaptive applications (ARTHUR, iWeaver, CS388, AEC-CS, LSAS, MANIC, INSPIRE, Tangow). Different systems provide adaptation to learning styles in terms of content adaptation, navigation paths or usage of multiple navigational tools. However, in most cases the choice of learning styles and corresponding strategies to be applied is made by the developers of the system and not by the authors of the applications. Also in most systems the information about the user's learning styles cannot be updated during the interaction with the system.

The proposed research tries to avoid the limitations described above. We assume that the web-designers (or authors) might want to apply various strategies for different applications and not only those specified by the developers of the system. Furthermore, as we are no psychologists, we cannot recommend any particular instructional strategy for a particular learning style. We can only research the implementation of various instructional strategies as specified by the cognitive science literature. We also suppose that for the same learning style various authors might have different visions of the corresponding strategy to be applied. Therefore the research proposes the development of a high-level authoring tool which will allow the authors defining their own adaptive strategies and specifying which instructional strategy corresponds to which user type. From the end-users' side perspective, we assume that it is always important to provide them with different instructional strategies while using an application. So an option for them is to try different ones and select the one which corresponds better. Along with the instructional strategies the proposed tool should allow the authors defining the monitoring strategies or the ways to infer the users' preferences during the interaction with the system, namely through their browsing behaviour. Therefore the information about the users' preferences (preferences corresponding to some learning styles) which is part of the user model can be updated. And a strategy corresponding to another learning style might be suggested to the user.

In order to define the strategies or the adaptive rules adjusting the presentation to the user we need to provide the authors with some formalism. The adaptation language should be reusable and extendable as later on we will want to be able to create new strategies requiring new elements. The language should be connecting to the new emerging Web standards, to enhance reusability.

To achieve this we define the XML (EXtensible Markup Language) Learning Style Adaptation Language for AHA! and specify each strategy in a separate XML file. The only limitation for the authors while creating the strategies is to use only those elements which are present in the DTD (Document Type Definition) defined for our language.

Take a look at my  PhD thesis.

Courses (past)

Adaptive Systems (co-lecturer)

Web Technology (co-lecturer)

Human-Technology Interaction (co-lecturer)

Design-Based Learning 2W (responsible lecturer)

Design-Based Learning Hypermedia (responsible lecturer)

Tutorials

Android tutorial

HTML(5)

Web Engineering

Master students

Dennis Haverkamp, User Generated Presentation at Ahold Europe, August 2011

Master project proposal

Personalized Outdoor Audio Tour Guide

The aim of the proposed master project is the implementation of a personalized outdoor audio tour guide which would utilize knowledge about a particular user (interests, preferences) and current context (e.g. location, visited places, time, date, day of week, weather, etc.) for dynamic creation of personalized routes through the most interesting points in an area.

The idea behind the project is to address the problems with existing travel guides:

Typically a travel guide can provide a number of thematic tours through the cities. These tours are pre-defined and static - the tourist cannot define his own tour, the sequence of points of interest (POIs) in the selected tour cannot be adapted to various changing conditions (e.g. changing user interests, weather, location) to include new POIs or exclude some POIs that are present in the tour, etc..

They do not reuse information between visits to different cities, e.g. the fact that the tourist likes a particular architect and wants to see his buildings existing in other cities that he visits.

The existing solutions are platform-dependent - apps are being developed for Android, iOS, etc..

The goal of the proposed project is to apply a platform-independent solution to the problem using HTML5 technology and to look into scalability issues such as providing a set of interfaces that would scale well on a mobile device, tablet or a desktop PC (e.g. if the tourist wants to preview his tour on a large screen at home before the actual visit to the city).

See the presentation slides of the project proposal.

Check

PhD thesis

Stash N., Incorporating Cognitive/Learning Styles in a General-Purpose Adaptive Hypermedia System. Eindhoven University of Technology, The Netherlands, ISBN 978-90-386-1050-4 (2007)

Publications

2020

69. IA Pisarev, EE Kotova, NV Stash, AS Pisarev, Assessment of Operator Productivity in Intelligent Systems when Solving Test Problems under Conditions of Uncertainty, XXIII International Conference on Soft Computing and Measurements (SCM), 27-29 May 2020, St. Petersburg, Russia, pages 52-55 (2020)

68. IA Pisarev, EE Kotova, AS Pisarev, NV Stash, Assessment of the Efficiency of Operators Work in Solving Test Problems in the Structure of Intelligent Interfaces, IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 27-30 Jan 2020, St. Petersburg and Moscow, Russia, pages 810-813 (2020)

2019

67. IA Pisarev, EE Kotova, AS Pisarev, NV Stash, Development of scenarios for automatic processing and data mining in a multi-agent environment, IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 28-31 Jan 2019, St. Petersburg and Moscow, Russia, pp. 630-633 (2019)

2018

66. IA Pisarev, EE Kotova, AS Pisarev, NV Stash, Designing Basic Ontologies for Training Specialists in Interdisciplinary Knowledge Domains, XVII Russian Scientific and Practical Conference on Planning and Teaching Engineering Staff for the Industrial and Economic Complex of the Region (PTES), 14-15 Nov 2018, St. Petersburg, Russia, pages 141-144 (2018)

65. IA Pisarev, EE Kotova, AS Pisarev, NV Stash, Structure of knowledge base of methods for processing hydroacoustic signals, IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 29 Jan - 1 Feb 2018, Moscow and St. Petersburg, Russia, pages 1132-1135 (2018)

2016

64. Montes García, A., Stash, N., Fabri, M., De Bra, P., Fletcher, G., Pechenizkiy, M. WiBAF into a CMS: Personalization in Learning Environments Made Easy, In: M. Kravcik, O.C. Santos, J.G. Boticario, M. Bielikova, (Eds.) Proceedings of the 6th International Workshop on Personalization Approaches in Learning Environments (PALE), held in conjunction with the 24th ACM International Conference on User Modeling, Adaptation, and Personalization (UMAP 2016), Halifax, Canada, July 16th, 2016, vol. 1618, pages 57-62. CEUR Workshop Proceedings, ISSN 1613-0073.

63. Montes García, A., Stash, N., Fabri, M., De Bra, P., Fletcher, G., Pechenizkiy, M. Adaptive web-based educational application for autistic students, In the Extended Proceedings of Hypertext 2016, Halifax, Canada, July 11th (2016)

62. De Bra, P., Stash, N., Boereboom, W., Chen, C., den Ouden, J., Kunstman, M., Oostrum, J., Verbakel, E. ALAT: Finally an Easy To Use Adaptation Authoring Tool, In the Proceedings of Hypertext 2016, Halifax, Canada, July 10-13 (2016)

61. De Bra, P., Montes García, A., Stash, N., Novel adaptive features of the Autism&Uni toolkit for students on the autism spectrum, In Proceedings of International Technology, Education and Development Conference (INTED), Valencia, Spain (2016)

2015

60. Montes García, A., Stash, N., De Bra, P., Adaptive Applications to Assist Students with Autism in Succeeding in Higher Education, UMAP 2015 Extended Proceedings as a volume of CEUR Workshop Proceedings, Dublin, Ireland (2015)

2014

59. Verbruggen, R., Pereira Roders, A., Stash, N., Leony, D., De Bra, P., Protected Urban Planet: Monitoring the Evolution of Protected Urban Areas Worldwide, Special Session 'Real Spaces and Cyber Spaces: New Challenges in Regional Science' within ERSA 54th congress Regional Development & Globalistation: Best practices, Saint Petersburg, Russia (2014)

2013

58. Stash, N., Veldpaus, L., De Bra, P., Pereira Roders, A., Creating Personalized City Tours Using the CHIP Prototype, In Online Proc. of PATCH workshop of UMAP2013, the 21st Conference on User Modeling, Adaptation and Personalization, Vol-997, Rome, Italy (2013) (poster, presentation slides)

57. Stash, N., Veldpaus, L., De Bra, P., Pereira Roders, A., The Protected Urban Planet App "PUP Sight Guide": Amsterdam as Case Study, In Proc. Conference Culture and Computer Science (KUI2013), Berlin, Germany, pp. 67-80 (2013) (presentation slides)

56. De Bra, P., Knutov, E., Smits, D., Stash, N., Ramos, V., GALE: a Generic Open Source Extensible Adaptation Engine, In New Review of Hypermedia and Multimedia, Taylor & Francis (2013)

2011

55. Koren, A., Stash, N., Andreev, A., A Proposal for Semantic Recommender for Outdoor Audio Tour Guides, Workshop on Personalization in Mobile Applications (PeMA 2011) at the 5th ACM Conference on Recommender Systems (RecSys2011), Chicago, IL, USA (2011) (presentation slides)

2010

54. Hage, W.R. van, Stash, N., Wang, Y. and Aroyo, L.M., Adaptation step-by-step: Challenges for real-time spatial personalization, Workshop on Pervasive User Modeling and Personalization (PUMP 2010) at User Modeling, Adaptation and Personalization (UMAP 2010), Big Island of Hawaii (2010)

53. Wang, Y., Wang, S., Stash, N., Aroyo, L. and Schreiber, G., Enhancing content-based recommendation with the task model of classification, In Proc. of International Conference on Knowledge Engineering and Management by the Masses (EKAW), pp. 431-440 (2010)

52. Hage, W.R. van, Stash, N., Wang, Y. and Aroyo, L.M., Finding your way through the Rijksmuseum with an adaptive mobile museum guide, In Proc. of the 7th Extended Semantic Web Conference (ESWC), pp. 46-59 (2010)

2009

51. Wang, Y., Stash, N., Aroyo, L., Hollink, L. and Schreiber, G., Using Semantic Relations for Content-based Recommender Systems in Cultural Heritage, Workshop on Ontology Patterns (WOP) at International Semantic Web Conference (ISWC) (2009)

50. Wang, Y., Stash, N., Aroyo, L., Hollink, L. and Schreiber, G., Semantic Relations for Content-based Recommendations, In Proc. of International Conference on Knowledge Capture (K-cap), pp. 209-210 (2009)

49. Wang, Y., Aroyo, L., Stash, N., Sambeek, R., Schuurmans Y., Schreiber, G. and Gorgels, P., Cultivating Personalized Museum Tours Online and On-Site, Journal of Interdisciplinary Science Reviews, Vol. 34, No. 2, pp. 141-156 (2009)

48. Roes, I., Stash, N., Wang, Y. and Aroyo, L., A Personalized Walk through the Museum: The CHIP Interactive Tour Guide, In Proc. of ACM CHI-Student Research Competition, pp. 3317-3322 (2009)

2008

47. Wang, Y., Stash, N., Aroyo, L., Gorgels, P., Rutledge, L. and Schreiber, G., Recommendations Based on Semantically-enriched Museum Collections, Journal of Web Semantics: Science, Services and Agents on the World Wide Web, Volume 6, Issue 4, pp. 43 - 50 (2008)

46. Stash, N., Aroyo L., Wang, Y., Rutledge L. and Gorgels P., Semantics-driven Recommendations in Cross-Media Museum Applications, In Proc. of the PATCH Workshop on Hypermedia and Adaptive Web-Based Systems (AH'08) (2008)

45. Wang Y., Cena, F., Carmagnola, F., Cortassa, O., Gena, C., Stash, N. and Aroyo, L., RSS-based Interoperability for User Adaptive Systems, In Proc. of Adaptive Hypermedia and Adaptive Web-Based Systems (AH'08), Germany (2008)

44. Rutledge, L., Stash, N., Wang Y. and Aroyo, L., Accuracy in Rating and Recommending Item Features, In Proc. of Adaptive Hypermedia and Adaptive Web-Based Systems (AH'08), Germany (2008)

43. Carmagnola, F., Cena, F., Cortassa, O., Gena, C., Wang, Y., Stash, N., Aroyo, L., Tag Interoperability in Cultural Web-based Applications, In Proc. of International Conference of Hypertext and Hypermedia, USA, Poster Session (2008)

42. Cramer, H., Evers, V., Ramlal, S., van Someren, M., Rutledge, R., Stash, N., Aroyo, L. and Wielinga, B., The effects of transparency on trust in and acceptance of a content-based art recommender, Journal of User Modeling and User-Adapted Interaction (UMUAI), Volume 18, Number 5 (2008)

41. Wang, Y., Sambeek, Ro, Schuurmans, Y., Aroyo, L., Stash, N., Rutledge, L. and Gorgels, P., Be Your Own Curator with the CHIP Tour Wizard, In Proc. of Museum and the Web (MW'08), Montreal, Canada (2008)

40. Stash, N., De Bra, P., Cristea, A.I., Adaptation to Learning Styles in a General-Purpose System AHA! (Adaptive Hypermedia Architecture) (in russian), In Journal of Educational Technology and Society 11(1), ISSN 1436-4522 (2008)

2007

39. Stash, N., Incorporating cognitive/learning styles in a general-purpose adaptive hypermedia system. ACM SIGWEB Newsletter (Winter), 3-1/2 (2007)

38. Dolog, P., Kravcik, M., Cristea, A.I., Burgos, D., Bra, P.M.E. De, Ceri, S., Devedzic, V., Houben, G.J.P.M., Libbrecht, P., Matera, M., Melis, E., Nejdl, W., Specht, M., Stewart, C., Smits, D., Stash, N. & Tattersall, C., Specification, authoring and prototyping of personalised workplace learning solutions, International Journal of Learning Technology, 3(3), 286-308 (2007)

37. Aroyo, L., Stash, N., Wang, Y., Gorgels, P. and Rutledge, L., CHIP Demonstrator: Semantics-driven Recommendations and Museum Tour Generation, In Proc. of International Semantic Web Conference, Korea (2007)

36. Wang, Y., Aroyo, L., Stash, N. and Rutledge, L., Interactive User Modeling for Personalized Access to Museum Collections: The Rijksmuseum Case Study, In Proc. of 11th User Modeling Conference, Greece (2007)

35. Aroyo, L., Brussee, R., Gorgels, P., Rutledge, L., Stash, N. and Wang, Y., Personalized Museum Experience: The Rijksmuseum Use Case, In Proc. of Museums and the Web, San Francisco, USA (2007)

34. Rutledge, L., Aroyo, L., Brussee, R., Stash, N., Wang, Y., Cramer, H., Evers, V. and Ramlal, S. Recommendation with Semantics for Cultural Heritage, In Proc. of the PATCH Workshop on 11th User Modeling Conference, Greece (2007)

33. Cramer, H., Evers, V., van Someren, M., Wielinga, B., Besselink, S., Rutledge, L., Stash, N. and Aroyo, L., User Interaction with User-Adaptive Information Filters, In Proc. of Human-Computer Interaction Conference, China (2007)

32. Stash, N., Cristea, A.I., De Bra, P., Adaptation languages as vehicles of explicit intelligence in Adaptive Hypermedia, In International Journal on Continuing Engineering Education and Life-Long Learning, vol. 17, nr 4/5, pp. 319-336, InderScience (2007)

31. De Bra, P., Stash, N., Smits, D., Romero, C., Ventura, S., Authoring and Management Tools for Adaptive Educational Hypermedia Systems: The AHA! Case Study, in: Studies in Computational Intelligence (SCI) nr. 62, pp. 285-308, Springer Verlag (2007)

2006

30. Cristea, A. and Stash N. AWELS: Adaptive Web-Based Education and Learning Styles, In Proc. of ICALT2006 conference, Kerkrade, The Netherlands, pp. 1135-1136 (2006)

29. Stash, N., Cristea, A. and De Bra, P. Adaptation to Learning Styles in E-Learning: Approach Evaluation, In Proc. of E-Learn 2006 Conference, Honolulu, Hawaii (2006)

28. De Bra, P., Smits, D., Stash, N., Creating and Delivering Adaptive Courses with AHA!, In Proc. of the first European Conference on Technology Enhanced Learning, EC-TEL 2006, Springer LNCS 4227, pp. 21-33, Crete (2006)

27. De Bra, P., Smits, D., Stash, N., The Design of AHA!, In Proc. of the ACM Hypertext Conference, Odense, Denmark, August 23-25, pp. 133 and http://aha.win.tue.nl/ahadesign/ (2006)

26. Rutledge, L., Aroyo L. and Stash N., Interactive User Profiling in Semantically Annotated Museum Collections, In Proc. of the 5th International Semantic Web Conference, Athens, GA, USA, Note: Poster (2006)

25. Stash, N., Cristea, A., De Bra, P. Learning Styles Adaptation Language for Adaptive Hypermedia, In Proc. of AH'2006 Conference, Dublin, Ireland, pp.323-327 (2006)

24. Rutledge, L., Aroyo L. and Stash N. Determining user interests about museum collections. WWW 2006, pp. 855-856 (2006)

2005

23. Stash, N., Cristea, A., De Bra, P., Explicit Intelligence in Adaptive Hypermedia: Generic Adaptation Languages for Learning Preferences and Styles, In Proc. of the HT 2005 CIAH Workshop, Salzburg (2005) (presentation slides)

22. De Bra, P., Stash, N., Smits, D., Creating Adaptive Web-Based Applications, Tutorial at the 10th International Conference on User Modeling, Edinburgh, Scotland (2005)

2004

21. De Bra, P., Stash, N., Smits, D., Creating Adaptive Textbooks with AHA!, In Proc. of the AACE ELearn'2004 Conference, Washington DC, pp. 2588-2593 (2004)

20. De Bra, P., Stash, N., Smits, D., Creating Adaptive Applications with AHA!, Tutorial for AHA! version 3.0, Tutorial at the AH2004 Conference, Eindhoven, August 23, 2004. Computing Science Report 04-20 (2004)

19. De Bra, P., Stash, N., Multimedia Adaptation Using AHA!, In Proc. of the ED-MEDIA 2004 Conference, Lugano, Switzerland, pp. 563-570 (2004)

18. Stash, N., Cristea, A., De Bra, P., Authoring of Learning Styles in Adaptive Hypermedia: Problems and Solutions, In Proc. of the WWW 2004 Conference, New York, NY, USA, pp. 114-123 (2004)

17. Stash, N., De Bra, P., Incorporating Cognitive Styles in AHA! (The Adaptive Hypermedia Architecture), In Proc. of the IASTED International Conference Web-Based Education, Innsbruck, Austria, pp. 378-383 (2004)

2003

16. De Bra, P., Aerts, A., Berden, B., De Lange, B., Rousseau, B., Santic, T., Smits, D., Stash, N., AHA! The Adaptive Hypermedia Architecture. In Proc. of the ACM Hypertext Conference, Nottingham, UK, pp. 81-84 (2003)

15. Stash, N., De Bra, P., Building Adaptive Presentations with AHA! 2.0, In Proc. of the PEG Conference, Saint Petersburg, Russia (2003)

14. Cristea, A.I., Floes, D., Stash, N., De Bra, P., MOT meets AHA!, In Proc. of the PEG Conference, Saint Petersburg, Russia (2003)

13. De Bra, P., Stash, N., De Lange, B., AHA! Adding Adaptive Behavior to Websites, In Proc. of the NLUUG Conference, pp. n-n+10, Ede, The Netherlands (2003)

2002

12. De Bra, P., Aerts, A., Smits, D., Stash, N., AHA! Version 2.0, More Adaptation Flexibility for Authors, In Proc. of the AACE ELearn'2002 conference, pp. 240-246 (2002)

11. De Bra, P., Aerts, A., Smits, D., Stash, N., AHA! the next generation, In Proc. of the thirteenth ACM conference on Hypertext and hypermedia, pp. 21 - 22 (2002)

10. De Bra, P., Aerts, A., Smits, D., Stash, N., AHA! meets AHAM. Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, Springer LNCS 2347, pp. 381-384 (2002)

9. De Bra, P., Stash, N., AHA! Adaptive Hypermedia for All, In Proc. of the SANE 2002 Conference, Maastricht, pp. 411-412 (2002)

8. De Bra, P., Stash, N., AHA! A General-Purpose Tool for Adaptive Websites. World Wide Web Conference (WWW 2002), USA, Poster Session (2002)

2001

7. Gavrilova T., Stash N., Texier R., Construction of User Model via Psychological Assessment: Work in Progress // Int. Conf. WebNet 2001, Orlando, USA, pp. 396-398 (2001)

6. Gavrilova T., Texier R., Stash N., "VITA: Using PYTHON for Visual Design of Web-Based Tutorials", In Proc. of the Tenth International PEG Conference "Intelligent Computer and Communications Technology - Learning in On-Line Communities", Tampere, Finland, pp.44-50 (2001)

5. Gavrilova T., Texier R., Stash N., Visual Authoring Tool for Web-based Training // Preprints of 8-th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems IFAC HMS, Kassel, Germany, pp. 523-527 (2001)

2000

4. Gavrilova T., Udaltsov S., Stash N., "Development of Distance Education Technology on the Example of Discipline Artificial Intelligence", International Conference on Mathematics/Science Education & Technology, M/SET 2000, San Diego, California, San Diego Marriott-Mission Valley (2000)

1999

3. Gavrilova T., Kotova E., Stash N., "Adaptive Distance Learning Course Guided by Student Model", Advanced Research in Computers and Communications in Education, G.Cumming et.al. (Eds.), IOS Press, 7th International Conference on Computers in Education, ICCE 99, Chiba, Japan, pp. 200-207 (1999)

2. Gavrilova T., Kotova E., Stash N., "Adaptive Teaching of Artificial Intelligence", Interactive Computer-aided Learning, ICL 99, Villach, Austria (1999)

1. Stash N., "Intelligent Agents for Distance Learning Systems", Interactive Systems, IS 99, Ulyanovsk, Russia, pp. 84-85 (1999)

Invited Presentations

Adaptive Personalized E-Learning Environments at Dommel Valley Event, October 25, 2013

Introduction to E-Learning Technologies at Philips, November 30, 2012

CHIP Project at Rijksmuseum, Amsterdam at the SIKS course, June, 2010

AHA! and CHIP Projects at TIE Holding December, 2008

CHIP Project at Rijksmuseum, Amsterdam at the University of Amsterdam, October, 2008

Incorporating Cognitive/Learning Styles in a General-Purpose Adaptive Hypermedia System at TENCompetence Web Seminar, June, 2008

Creating Adaptive Applications with AHA!: AHA! 3.0 Tutorial at ABIS workshop, October 2004

Reviewing activities

New Review of Hypermedia and Multimedia Editorial Office

IEEE Transactions on Learning Technologies

MERLOT Journal of Learning and Teaching

Computers & Education

Journal of Computer Assisted Learning (JCAL)

International Journal of Learning Technology

Skills

Java servlets, JSP, JavaScript, CSS, HTML(5), JSON, XML, SVG/VML, AJAX, (Turtle) RDF, SeRQL,
Unix system admin, Sakai learning management system administration

Full CV

Awards

Semantic Web Challenge 2007, 3rd Prize: CHIP Demonstrator, jointly with TU/e, Rijksmuseum Amsterdam and Telematica Institute, at ISWC'07, Seoul, Korea, 2007 (see the article in Journal of Web Semantics)

James Chen Annual Award for Best UMUAI Article 2008: Henriette S. M. Cramer, Vanessa Evers, Satyan Ramlal, Maarten van Someren, Lloyd Rutledge, Natalia Stash, Lora Aroyo, Bob J. Wielinga: The effects of transparency on trust in and acceptance of a content-based art recommender, User Modelling, User-Adaptation and Interaction, 18(5): 455-496, 2008