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Towards a Multi-Modal Methodology for User-Centred Evaluation of Adaptive Systems

Published: 06 June 2019 Publication History

Abstract

This paper presents an approach and methodology for user-centred evaluation of adaptive systems. In contrast to layered evaluation approaches that decompose adaptation into its constituents, our approach conceptualises the quality and benefit for the user into separate evaluation qualities for a comprehensive and multifaceted evaluation. Instruments of different modalities are used to measure these qualities from the user perspective. A service is presented that takes up this approach and enables time- and cost-efficient evaluation by defining and re-using evaluation qualities and instruments, as well as collecting and analysing data based on these definitions. This approach allows to compare different adaptive systems by using the same qualities and adapting the instruments to the specific characteristics of the particular adaptive system.

References

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Peter Brusilovsky, Charalampos Karagiannidis, and Demetrios Sampson. 2004. Layered evaluation of adaptive learning systems. International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 145, 4/5 (2004), 402--421.
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Catherine Mulwa, Séamus Lawless, Mary Sharp, and Vincent Wade. 2011. The evaluation of adaptive and personalised information retrieval systems: A review. International Journal of Knowledge and Web Intelligence, Vol. 2, 2/3 (2011), 138--156.
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Alexander Nussbaumer, Eva-C. Hillemann, C. M. Steiner, and D. Albert. 2012. An evaluation system for digital libraries. In Proceedings of the 2nd International Conference of Theory and Practice of Digital Libraries (TPDL 2012). Lecture Notes in Computer Science, Panayiotis Zaphiris, George Buchanan, Edie Rasmussen, and Fernando Loizides (Eds.), Vol. 7489. Springer, Berlin, Heidelberg, 414--419.
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Alexander Nussbaumer, Christina M. Steiner, Eva-C. Hillemann, and Dietrich Albert. 2014. Towards a Service for Evaluating Adaptive Learning Systems. In Proceedings of the 22nd International Conference on Computers in Education (ICCE 2014), Chen-Chung Liu, Hiroaki Ogata, Siu Cheung Kong, and Akihiro Kashihara (Eds.). Asia-Pacific Society for Computers in Education (APSCE), Jhongli City, Taiwan, 138----140. http://icce2014.jaist.ac.jp/icce2014/
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Alexandros Paramythis, Stephan Weibelzahl, and Judith Masthoff. 2010. Layered Evaluation of Interactive Adaptive Systems: Framework and Formative Methods. User Modeling and User-Adapted Interaction, Vol. 20, 5 (Dec. 2010), 383--453.
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Christina M. Steiner, Maristella Agosti, Marc S. Sweetnam, Eva-C. Hillemann, Niccola Orio, Chiara Ponchia, Cormac Hampson, Gary Munnelly, Alexander Nussbaumer, Dietrich Albert, and Owen Conlan. 2014. Evaluating a Digital Humanities Research Environment: The CULTURA Approach. International Journal on Digital Libraries (IJDL), Vol. 15 (2014), 53--70. Issue 1.
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Christina M. Steiner and Dietrich Albert. 2012. Tailor-made or Unfledged? Evaluating the Quality of Adaptive e-Learning .Nova Science, New York, USA, 111--143. https://novapublishers.com/shop/evaluation-in-e-learning/

Cited By

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  • (2023)Adaptive Visualization of Health Information Based on Cognitive Psychology: Scenarios, Concepts, and Research OpportunitiesVisualization Psychology10.1007/978-3-031-34738-2_7(165-195)Online publication date: 7-Nov-2023

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cover image ACM Conferences
UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization
June 2019
455 pages
ISBN:9781450367110
DOI:10.1145/3314183
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 June 2019

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Author Tags

  1. adaptive systems
  2. evaluation
  3. evaluation model
  4. evaluation qualities

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  • Short-paper

Funding Sources

  • European Commission

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UMAP '19
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UMAP'19 Adjunct Paper Acceptance Rate 30 of 122 submissions, 25%;
Overall Acceptance Rate 162 of 633 submissions, 26%

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Cited By

View all
  • (2023)Adaptive Visualization of Health Information Based on Cognitive Psychology: Scenarios, Concepts, and Research OpportunitiesVisualization Psychology10.1007/978-3-031-34738-2_7(165-195)Online publication date: 7-Nov-2023

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