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Linguistic Feature-Based Measures

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Robust Multimodal Cognitive Load Measurement

Part of the book series: Human–Computer Interaction Series ((HCIS))

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Abstract

This chapter discusses methods for cognitive load examination via language and shows that many features, some of which were originally designed to examine language complexity for learning analytics or comprehension, can be successfully applied to the cognitive load research. The linguistic approach to measure cognitive load can also be used as a post-hoc analysis technique for user interface evaluation and interaction design improvement using speech transcripts.

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References

  1. M.A.K. Halliday, J.J. Webster, M.A.K. Halliday, On Language and Linguistics (Continuum, London, 2003)

    Google Scholar 

  2. J.B. Sexton, R.L. Helmreich, Analyzing cockpit communication: The links between language, performance, error, and workload. J. Hum. Perform. Extrem. Environ. 5(1), 63–68 (2000)

    Google Scholar 

  3. J. Schilperoord, On the cognitive status of pauses in discourse production, in Contemporary Tools and Techniques for Studying Writing (Kluwer Academic Publishers, London, 2001)

    Google Scholar 

  4. K.M. Rhee, E. Kim, A statistical analysis of text for inferring authenticity, in Proc. 53rd Session of International Statistical Institute, 2001

    Google Scholar 

  5. J. Schilperoord, It’s About Time: Temporal Aspects of Cognitive Processes in Text Production (Rodopi, Amsterdam/Atlanta, 1996)

    Google Scholar 

  6. M.A. Khawaja, Cognitive Load Measurement using Speech and Linguistic Features (University of New South Wales, Sydney, 2010)

    Google Scholar 

  7. A.D. Baddeley, Working memory. Science 255, 556–559 (1992)

    Article  Google Scholar 

  8. M.A. Khawaja, F. Chen, N. Marcus, Measuring cognitive load using linguistic features: Implications for usability evaluation and adaptive interaction design. Int. J. Hum. Comput. Interact. 30(5), 343–368 (2014)

    Article  Google Scholar 

  9. M.A. Khawaja, F. Chen, N. Marcus, Using language complexity to measure cognitive load for adaptive interaction design, in Proceedings of International Conference on Intelligent User Interfaces (IUI 2010), Hong Kong, China, 2010, pp. 333–336

    Google Scholar 

  10. H.W. Dechert, M. Raupach, Towards a Cross-Linguistic Assessment of Speech Production (Lang, Frankfurt, 1980)

    Google Scholar 

  11. C. Lennon, H. Burdick, The Lexile Freamework as an Approach for Reading Measurement and Success (MetaMetrics, Inc, Durham, 2004)

    Google Scholar 

  12. R.P. Reck, R.A. Reck, Generating and rendering readability scores for Project Gutenberg texts, in Proceedings of the Corpus Linguistics Conference, Birmingham, UK, 2007

    Google Scholar 

  13. J. Ure, Lexical density and register differentiation, in Applications of Linguistics, ed. by G. Perren, T. Trim (Cambridge University Press, London, 1971), pp. 443–452

    Google Scholar 

  14. S. Chalker, E. Weiner, The Oxford Dictionary of English Grammar (Oxford University Press, Oxford, 1998)

    Book  Google Scholar 

  15. Advanced Text Analyser. UsingEnglish, http:

    Google Scholar 

  16. R. Gunning, The Technique of Clear Writing (McGraw-Hill, New York, 1952)

    Google Scholar 

  17. R. Flesch, A new readability yardstick. J. Appl. Psychol. 32(3), 221–233 (1948)

    Article  Google Scholar 

  18. H.G. Mclaughlin, SMOG grading – a new readability formula. J. Read. 12(8), 639–646 (1969)

    Google Scholar 

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Chen, F. et al. (2016). Linguistic Feature-Based Measures. In: Robust Multimodal Cognitive Load Measurement. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-31700-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-31700-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31698-7

  • Online ISBN: 978-3-319-31700-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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