Skip to main content
Springer Nature Link
Log in

Adaptation of Cross-Media Surveys to Heterogeneous Target Groups

  • Conference paper
Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4018))

  • 1377 Accesses

Abstract

Adaptive surveys provide an efficient method for customizing questionnaires to the particular requirements of a study and specific features of the respondent. Hypermedia can enhance the presentation of questionnaires and enables interactive feedback. As comparability of survey results is crucial, adaptation is constrained by the requirement of cognitive equivalence. The scenario of a survey-based early warning system for virtual enterprises supplies a context for the discussion of further requirements concerning structure, markup, and adaptation of surveys. An XML markup for adaptive surveys is proposed that is applied within a survey system for virtual enterprises.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. @VirtU: Participative Development of Diagnostic Early Warning Systems for Work in Virtual Corporations (2006), http://www.atvirtu.de

  2. Meyer, J., Engel, A., Wiedemann, J., Richter, P.: Performance and Job Satisfaction in Virtual Teams. In: XII. European Congress of Work and Organizational Psychology - Convivence in Organizations and Society, Istanbul (2005)

    Google Scholar 

  3. Philology Pty. Ltd.: QEDML – Questionnaire Exchange and Deployment Markup Language (2004), http://www.qedml.org

  4. IQML-Project Group: IQML – A Software Suite and XML Standard for Intelligent Questionnaires (2003), http://www.epros.ed.ac.uk/iqml

  5. Triple-S Group: Triple-S – Open Survey Interchange Standard (2005), http://www.triple-s.org

  6. Toubia, O., Hauser, J., Simester, D.: Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis. Working papers 4285-03, Massachusetts Institute of Technology (MIT), Sloan School of Management (2003)

    Google Scholar 

  7. Abernethy, J., Evgeniou, T., Vert, J.P.: An Optimization Framework for Adaptive Questionnaire Design. Working paper, INSEAD, Fontainebleau, France (2004)

    Google Scholar 

  8. Lobach, D.F., Arbanas, J.M., Mishra, D.D., Campbell, M., Wildemuth, B.M.: Adapting the Human-Computer Interface for Reading Literacy and Computer Skill to Facilitate Collection of Information Directly from Patients. In: MedInfo, vol. 11 (Pt. 2), pp. 1142–1146 (2004)

    Google Scholar 

  9. Kurhila, J., Miettinen, M., Niemivirta, M., Nokelainen, P., Silander, T., Tirri, H.: Bayesian Modeling in an Adaptive On-Line Questionnaire for Education and Educational Research. In: Ruokamo, H., Nykänen, O., Pohjolainen, S., Hietala, P. (eds.) 10th International PEG Conference, Tampere, Finland, pp. 194–201 (2001)

    Google Scholar 

  10. Desmarais, M.C., Maluf, D., Liu, J.: Adaptive Training Based Upon Computerized Knowledge Assessment. In: Fourth International Conference on User Modeling, pp. 102–112 (1994)

    Google Scholar 

  11. McDonald, R.P.: Test theory : a unified treatment. Lawrence Erlbaum Associates, Mahwah, New Jersey (1999)

    Google Scholar 

  12. Kobrin, J.L., Young, J.W.: The Cognitive Equivalence of Reading Comprehension Test Items Via Computerized and Paper-and-Pencil Administration. Applied Measurement in Education 16(2), 115–140 (2003)

    Article  Google Scholar 

  13. Brusilovsky, P.: Adaptive Hypermedia. User Modeling and User-Adapted Interaction 11(1-2), 87–110 (2001)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Multimedia Technology Group, Dresden University of Technology, Germany

    Alexander Lorz

Authors
  1. Alexander Lorz
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Knowledge and Data Engineering Group, Trinity College Dublin, Dublin, Ireland

    Vincent P. Wade

  2. School of Computer and Information Science, University of South Australia, Australia

    Helen Ashman

  3. Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin, Ireland

    Barry Smyth

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lorz, A. (2006). Adaptation of Cross-Media Surveys to Heterogeneous Target Groups. In: Wade, V.P., Ashman, H., Smyth, B. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2006. Lecture Notes in Computer Science, vol 4018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11768012_20

Download citation

  • DOI: https://doi.org/10.1007/11768012_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34696-8

  • Online ISBN: 978-3-540-34697-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation