In:The Mental Lexicon
Vol. 15:2 (2020) ► pp.366–383
Methodological and analytic considerations
Can the maze task be even more amazing?
Adapting the maze task to advance psycholinguistic experimentation
Published online: 6 November 2020
https://doi.org/10.1075/ml.20027.gal
https://doi.org/10.1075/ml.20027.gal
Abstract
The maze task (Forster, K., Guerrera, C., & Elliot, L. (2009). The maze task: Measuring forced incremental sentence processing time. Behavior Research Methods 2009, 411, 163–171. ; Forster, K. (2010). Using a maze task to track lexical and sentence processing. The Mental Lexicon, 51, 347–357. ) is designed to measure focal lexical and sentence processing effects in a highly controlled manner. We
discuss how this task can be modified and extended to provide a unique opportunity for the investigation of lexical effects in sentence
context. We present results that demonstrate how the maze task can be used to examine both facilitation and inhibition effects. Most
importantly, it can do this while leaving the target sentence unchanged across conditions. This is an advantage that is not available with
other paradigms. We also present new versions of the maze task that allow for the isolation of specific lexical effects and that enhance the
measurement of lexical recognition through visual animation. Finally, we discuss how the maze task brings to the foreground the extent to
which complex multi-layered priming and inhibition are intrinsic to sentence reading and how the maze task can tap this complexity.
Keywords:: methodology, maze task, lexical priming, sentence processing, gamification, incrementality
Article outline
- It’s amazing already
- The maze task and discrete unidirectionality
- The maze task and incremental integration
- How can it be more amazing?
- How to use the maze task to investigate both lexical priming and interference effects
- How to isolate specific lexical effects in sentence reading through maze simplification
- How to enhance the measurement of lexical recognition time through visual animation
- Experiment 1
- Participants
- Materials
- Procedure
- Results
- Modeling
- Prime condition
- Maze type
- Experiment 2
- Participants
- Materials
- Procedures
- Results
- Data preparation
- Modeling
- General discussion
- Experiment 1
- Experiment 2 and additional maze task innovation
References
References (17)
Baayen, H. R., Davidson, D. J., & Bates, D. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 591, 390–412.
Boyce, V., Futrell, R., & Levy, R. P. (2020). Maze Made Easy: Better and easier measurement of incremental processing difficulty. Journal of Language and Memory, 1111.
de Almeida, R. G., Gallant, J., Skurnac, M., & Libben, G. (February, 2020). Semantically ambiguous stems and the purpose of morphological processing. Nineteenth International Morphology Meeting, Vienna, Austria.
de Almeida, R. G., Gallant, J., & Libben, G. (2020). When the root of barking can access the tree: Eye-tracking and maze evidence for independent activation of semantically ambiguous morphological constituents in sentences. Manuscript submitted for publication.
Forster, K. (2010). Using a maze task to track lexical and sentence processing. The Mental Lexicon, 51, 347–357.
Forster, K., Guerrera, C., & Elliot, L. (2009). The maze task: Measuring forced incremental sentence processing time. Behavior Research Methods 2009, 411, 163–171.
Grainger, J., & Segui, J. (1990). Neighborhood frequency effects in visual word recognition: A comparison of lexical decision and masked identification latencies. Perception and Psychophysics, 471, 191–198.
Hilpert, M., & Saavedra, D. C. (2018). The unidirectionality of semantic changes in grammaticalization: an experimental approach to the asymmetric priming hypothesis. English Language and Linguistics, 221, 357–380.
Hutchison, K. A., Balota, D. A., Neely, J. H., Cortese, M. J., Cohen-Shikora, E. R., Tse, C.-S., Yap, M. J., Bengson, J. J., Niemeyer, D., & Buchanan, E. (2013). The semantic priming project. Behavior Research Methods, 45(4), 1099–1114.
Just, M. A., Carpenter, P. A., & Woolley, J. D. (1982). Paradigms and processes in reading comprehension. Journal of Experimental Psychology: General, 1111, 228–238.
Kieslich, P. J., Henninger, F., Wulff, D. U., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2019). Mouse-tracking: A practical guide to implementation and analysis. In M. Schulte-Mecklenbeck, A. Kühberger, & J. G. Johnson (Eds.), A Handbook of Process Tracing Methods. New York, NY: Routledge.
Libben, G. (2006). Why study compounds? An overview of the issues. In G. Libben & G. Jarema, (Eds.), The representation and processing of compound words. Oxford: Oxford University Press (pp. 1–21).
Peirce, J., Gray, J. R., Simpson, S., MacAskill, M., Richard Höchenberger Sogo, H., … Jonas Kristoffer Lindelov. (2019). PsychoPy2: Experiments in behavior made easy. Behavior Research Methods, 51(1), 195–203.
Wang, X. (2015). Language control in bilingual language comprehension: evidence from the maze task. Frontiers in Psychology.
Cited by (5)
Cited by five other publications
Gallant, Jordan & Kerry Sluchinski
Crepaldi, Davide, Marcello Ferro, Claudia Marzi, Andrea Nadalini, Vito Pirrelli & Loukia Taxitari
Pissani, Laura & Roberto G. de Almeida
Libben, Gary, Jordan Gallant & Wolfgang U. Dressler
[no author supplied]
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