Abstract
The goal of this study is to examine the comprehension of global causal and temporal relations between events that are represented in single hypertext documents. In two experiments we examined how reading sequences of hypertext nodes affects the establishment of event relations and how this process can be supported by advanced organizers that provide either temporal or causal pre-information. In the first experiment we could show that discourse structure affected recall of temporal event sequences only when causal relations were absent. In a second experiment, the comprehension of either temporal or causal relations was facilitated by providing different types of pre-information (advanced organizer). Temporal pre-information facilitated recall of temporal event sequences without underlying causal relations. In contrast, causal pre-information facilitated recall of temporal event sequences with causal relations. The results demonstrate that readers use causal information to construct temporal event sequences.
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References
Britton, B. K., & Graesser, A. C. (Eds.). (1996). Models of understanding text. Hillsdale, NJ: Lawrence Erlbaum.
Brownstein, A. L., & Read, S. J. (2007). Situation models and memory: The effects of temporal and causal information on recall sequence. Memory, 15(7), 730–745.
Buehner, M. J., & May, J. (2003). Rethinking temporal contiguity and the judgment of causality: Effects of prior knowledge, experience, and reinforcement procedure. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 56A(5), 865–890.
Clark, E. V. (1971). On the acquisition of the meaning of before and after. Journal of Verbal Learning & Verbal Behavior, 10, 266–275.
DeStefano, D., & LeFevre, J.-A. (2007). Cognitive load in hypertext reading: A review. Computers in Human Behavior, 23, 1616–1641.
Faro, D., Leclerc, F., & Hastie, R. (2005). Perceived causality as a cue to temporal distance. Psychological Science, 16(9), 673–677.
Fleischman, S. (1990). Tense and narrativity. Austin, TX: University of Texas Press.
Friedman, N. P., & Miyake, A. (2000). Differential roles for visuospatial and verbal working memory in situation model construction. Journal of Experimental Psychology: General, 129(1), 61–83.
Goldman, S. R., Graesser, A. C., & van den Broek, P. (Eds.). (1999). Narrative comprehension, causality, and coherence: Essays in honor of Tom Trabasso. Mahwah, NJ: Lawrence Erlbaum Associates.
Graesser, A. C., Millis, K. K., & Zwaan, R. A. (1997). Discourse comprehension. Annual Review of Psychology, 48, 163–189.
Haenggi, D., Kintsch, W., & Gernsbacher, M. A. (1995). Spatial situation models and text comprehension. Discourse Processes, 19(2), 173.
Hagmayer, Y., & Waldmann, M. R. (2002). How temporal assumptions influence causal judgments. Memory & Cognition, 30(7), 1128–1137.
Hopper, P. J. (1979). Aspect and foregrounding in discourse. In T. Givon (Ed.), Syntax and semantics (Vol. 12, pp. 213–241). New York: Academic Press.
Jahn, G. (2004). Three turtles in danger: Spontaneous construction of causally relevant spatial situation models. Journal of Experimental Psychology. Learning, Memory, and Cognition, 30(5), 969–987.
Kendeou, P., & van den Broek, P. (2007). The effects of prior knowledge and text structure on comprehension process during reading of scientific texts. Memory & Cognition, 35(7), 1567–1577.
Kintsch, W. (1998). Comprehension: A paradigm for cognition. New York: Cambridge University Press.
Langston, M., & Trabasso, T. (1999). Modeling causal integration and availability of information during comprehension of narrative texts. In H. van Oostendorp & S. R. Goldman (Eds.), The construction of mental representations during reading (pp. 29–69). Mahwah, NJ: Lawrence Erlbaum.
León, J. A., & Peñalba, G. E. (2002). Understanding causality and temporal sequence in scientific discourse. In J. Otero & J. A. León (Eds.), The psychology of science text comprehension (pp. 155–178). Mahwah, NJ: Lawrence Erlbaum Associates.
Mandler, J. M. (1986). On the comprehension of temporal order. Language and Cognitive Processes, 1, 309–320.
McNamara, D. S., Kintsch, E., Songer, N. B., & Kintsch, W. (1996). Are good texts always better? Interactions of text coherence, background knowledge, and levels of understanding in learning from text. Cognition & Instruction, 14(1), 1–43.
Morrow, D. G., Greenspan, S. L., & Bower, G. H. (1987). Accessibility and situation models in narrative comprehension. Journal of Memory and Language, 26(2), 165–187.
Murray, J. (1995). Logical connectives and local coherence. In R. F. Lorch & E. J. O’Brien (Eds.), Sources of coherence in reading (pp. 107–125). Hillsdale, NJ: Lawrence Erlbaum.
Ohtsuka, K., & Brewer, W. F. (1992). Discourse organization in the comprehension of temporal order in narrative texts. Discourse Processes, 15(3), 317–336.
Page, E. B. (1963). Ordered hypotheses for multiple treatments. A significance test for linear ranks. Journal of the American Statistical Association, 58, 123–216.
Perfetti, C. A., Britt, M. A., & Georgi, M. C. (1995). Text-based learning and reasoning: Studies in history. Hillsdale, NJ: Lawrence Erlbaum Associates.
Poynor, D. V., & Morris, R. (2003). Inferred goals in narratives: Evidence from self-paced reading, recall, and eye movements. Journal of Experimental Psychology. Learning, Memory, and Cognition, 29(1), 3–9.
Rinck, M., Haehnel, A., & Becker, G. (2001). Using temporal information to construct, update, and retrieve situation models of narratives. Journal of Experimental Psychology. Learning, Memory, and Cognition, 27(1), 67–80.
Salmerón, L., Cañas, J., Kintsch, W., & Fajardo, I. (2005). Reading strategies and hypertext comprehension. Discourse Processes, 40(3), 171–191.
Salmerón, L., Kintsch, W., & Cañas, J. J. (2006). Reading strategies and prior knowledge in learning from hypertext. Memory & Cognition, 34(5), 1157–1171.
Sundermeier, B. A., van den Broek, P., & Zwaan, R. A. (2005). Causal coherence and the availability of locations and objects during narrative comprehension. Memory & Cognition, 33(3), 462–470.
Therriault, D. J., Rinck, M., & Zwaan, R. A. (2006). Assessing the influence of dimensional focus during situation model construction. Memory & Cognition, 34(1), 78–89.
Trabasso, T. (1989). Causal representation of narratives. Reading Psychology Special Issue: Comprehension, 10(1), 67–83.
Trabasso, T., & Sperry, L. L. (1985). Causal relatedness and importance of story events. Journal of Memory and Language, 24(5), 595–611.
Trabasso, T., Suh, S., Payton, P., & Jain, R. (1995). Explanatory inferences and other strategies during comprehension and their effect on recall. In R. F. Lorch & E. J. O’Brien (Eds.), Sources of coherence in reading (pp. 219–239). Hillsdale, NJ: Lawrence Erlbaum Associates.
Trabasso, T., & van den Broek, P. (1985). Causal thinking and the representation of narrative events. Journal of Memory and Language, 24(5), 612–630.
Trabasso, T., van den Broek, P., & Suh, S. Y. (1989). Logical necessity and transitivity of causal relations in stories. Discourse Processes, 12(1), 1–25.
van den Broek, P., & Gustafson, M. (1999). Comprehension and memory for texts: Three generations of reading research. In S. R. Goldman & A. C. Graesser (Eds.), Narrative comprehension, causality, and coherence: Essays in honor of Tom Trabasso (pp. 15–34). Mahwah, NJ: Lawrence Erlbaum Associates.
van den Broek, P., & Trabasso, T. (1986). Causal networks versus goal hierarchies in summarizing text. Discourse Processes, 9(1), 1–15.
van Dijk, T. A., & Kintsch, W. (1983). Strategies of discourse comprehension. New York: Academic Press.
Waldmann, M. R., & Holyoak, K. J. (1992). Predictive and diagnostic learning within causal models: Asymmetries in cue competition. Journal of Experimental Psychology: General, 121(2), 222–236.
Warren, W. H., Nicholas, D. W., & Trabasso, T. (1979). Event chains and inferences in understanding narratives. In R. O. Freedle (Ed.), Advances in discourse processes: Vol. 2 New directions in discourse processing (pp. 23–52). Norwood, NJ: Ablex.
Wolfe, M. B. W., Magliano, J. P., & Larsen, B. (2005). Causal and semantic relatedness in discourse understanding and representation. Discourse Processes, 39(2–3), 165–187.
Zwaan, R. A. (1996). Processing narrative time shifts. Journal of Experimental Psychology. Learning, Memory, and Cognition, 22(5), 1196–1207.
Zwaan, R. A., Langston, M. C., & Graesser, A. C. (1995a). The construction of situation models in narrative comprehension: An event-indexing model. Psychological Science, 6(5), 292–297.
Zwaan, R. A., Magliano, J. P., & Graesser, A. C. (1995b). Dimensions of situation model construction in narrative comprehension. Journal of Experimental Psychology. Learning, Memory, and Cognition, 21(2), 386–397.
Zwaan, R. A., & Radvansky, G. A. (1998). Situation models in language comprehension and memory. Psychological Bulletin, 123(2), 162–185.
Acknowledgment
This study was carried out as part of the research project “User-oriented presentation of information in the Internet”, at the Department of Cognitive and Engineering Psychology at Chemnitz University of Technology. This research was supported by the German Science Council DFG. We would like to thank Dr. Georg Jahn for his fruitful discussions and valuable advice.
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Urakami, J., Krems, J.F. How hypertext reading sequences affect understanding of causal and temporal relations in story comprehension. Instr Sci 40, 277–295 (2012). https://doi.org/10.1007/s11251-011-9178-1
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DOI: https://doi.org/10.1007/s11251-011-9178-1