ABSTRACT
A substantial proportion of user modeling research deals with detection, classification and use of as well as adaptation to the users' preferences. In this paper, we develop a questionnaire to assess aspects of perceptual preferences in regard to information processing, knowledge gain and learning, named Perceptual Preferences Questionnaire (PPQ). The PPQ is validated based on the results of an online survey with forum users (n=76). Given the perceptual preferences of a user, we explore first implications on how to present information to that specific user in order to ease understanding, which can be achieved by matching his/her perceptual preferences. Further research aims to combine the PPQ with implicit testing based on the users' textual utterances and the users' interests.
- Bortz, J, Döring, N.: Forschungsmethoden und Evaluation. Springer, Berlin, 2006.Google ScholarCross Ref
- Bühner, M.: Einführung in die Test- und Fragebogenkonstruktion. Pearson, München, 2011.Google Scholar
- Coffield, F., Moseley, D., Hall, E., Ecclestone, K.: Learning styles and pedagogy in post-16 learning. A systematic and critical review. LSRC, London, 2004.Google Scholar
- Cohen, J: Statistical power analysis for the behavioural sciences. Hillsdale: Erlbaum, 1988.Google Scholar
- Dunn, R.: Commentary: Teaching Students Through Their Perceptual Strengths or Preferences. In: Journal of Reading 31/4, pp. 304--309, 1988.Google Scholar
- Felder, R., Silverman, L: Learning and Teaching Styles In Engineering Education. In: Engineering Education, 78/7, pp. 674--68, 1988.Google Scholar
- Goldstein, E. B.: Sensation & Perception. Thomson Wadsworth, Belmont, 2007.Google Scholar
- Heinath, M., Dzaack, J., Wiesner, A., Urbas, L.: Applications for Cognitive User Modeling. In: Conati, C., McCoy, K., Paliouras, G. (Eds.): UM 2007. LNCS, pp. 127--136. Springer, Berlin, 2007. Google ScholarDigital Library
- Horn, J. L.: A rationale test for the number of factors in factor analysis. In: Psychometrika, 30, pp. 179--185, 1965.Google Scholar
- Kellner, G., Berendt, B.: Towards a new dimension for user modeling: The use of sensory vocabulary. In: Advances in User Modeling. LNCS, Springer, Berlin, pp. 397--401, 2012. Google ScholarDigital Library
- Kellner, G., Berendt, B.: Extracting Knowledge about Cognitive Style. In: F. Ren, Y. Zhong (Eds.): NLP-KE 2011. IEEE press; P. 73--39.Google Scholar
- Laming, D.: The Measurement of Sensation. Oxford University Press, New York, 1997.Google Scholar
- Reid, J. M.: The Learning Style Preferences of ESL Students. In: TESOL Quarterly, 21/1, pp. 87--111, 1987.Google Scholar
- Robotham, D. (1999, 10.09.2011): The application of learning style theory in higher education teaching, available: http://serprofessoruniversitario.pro.br/m%C3%B3dulos/c%C3%A9rebro-e-aprendizagem/application-learning-style-theory-higher-education-teaching-0Google Scholar
- Sadler-Smith, E., Riding, R.: Cognitive style and instructional preferences. In: Instructional Science 27, pp. 355--371, 1999.Google ScholarCross Ref
- Shute, V., Towle, B.: Adaptive E-Learning. In: Educational Psychologist 38/2, pp. 105--114, 2003.Google Scholar
- Tsianos, N. et al.: User-Centric Profiling on the Basis of Cognitive and Emotional Characteristics: An Empirical Study. In: Nejdl, W. et al. (Eds.): AH08, LNCS 5149, pp. 214--223. Springer, Berlin, 2008. Google ScholarDigital Library
- Zwick, W. R., Velicer, W. F.: Comparison of five rules for determining the number of components to retain. In: Psychological Bulletin 99, pp. 432--442, 1986.Google ScholarCross Ref
Index Terms
- I-know my users: user-centric profiling based on the perceptual preference questionnaire (PPQ)
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