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Research Articles

Fluctuation in cognitive engagement during listening and reading of erotica and horror stories

, ORCID Icon, & ORCID Icon
Pages 874-890 | Received 08 Dec 2022, Accepted 11 May 2023, Published online: 31 May 2023

References

  • Anders, S., Lotze, M., Erb, M., Grodd, W., & Birbaumer, N. (2004). Brain activity underlying emotional valence and arousal: a response-related fMRI study. Human Brain Mapping, 23(4), 200–209. https://doi.org/10.1002/hbm.20048
  • Appel, M., Gnambs, T., Richter, T., & Green, M. C. (2015). The transportation scale–short form (TS–SF). Media Psychology, 18(2), 243–266. https://doi.org/10.1080/15213269.2014.987400
  • Arfé, B., Delatorre, P., & Mason, L. (2022). Effects of negative emotional valence on readers’ text processing and memory for text: an eye-tracking study. Reading and Writing, 1–26. https://doi.org/10.1007/s11145-022-10362-7
  • Balaban, C. D., Cohn, J., Redfern, M. S., Prinkey, J., Stripling, R., & Hoffer, M. (2004). Postural control as a probe for cognitive state: Exploiting human information processing to enhance performance. International Journal of Human-Computer Interaction, 17(2), 275–286. https://doi.org/10.1207/s15327590ijhc1702_9
  • Ballenghein, U., & Baccino, T. (2019). Referential processing during reading: concurrent recordings of eye movements and head motion. Cognitive Processing, 20(3), 371–384. https://doi.org/10.1007/s10339-018-0894-1
  • Ballenghein, U., Kaakinen, J. K., Tissier, G., & Baccino, T. (2020). Cognitive engagement during reading on digital tablet: Evidence from concurrent recordings of postural and eye movements. Quarterly Journal of Experimental Psychology, 73(11), 1820–1829. https://doi.org/10.1177/1747021820931830
  • Ballenghein, U., Megalakaki, O., & Baccino, T. (2019). Cognitive engagement in emotional text reading: concurrent recordings of eye movements and head motion. Cognition and Emotion, 33(7), 1448–1460. https://doi.org/10.1080/02699931.2019.1574718
  • Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.18637/jss.v067.i01
  • Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of General Psychology, 5(4), 323–370. https://doi.org/10.1037/1089-2680.5.4.323
  • Bayer, M., Sommer, W., & Schacht, A. (2010). Reading emotional words within sentences: the impact of arousal and valence on event-related potentials. International Journal of Psychophysiology, 78(3), 299–307. https://doi.org/10.1016/j.ijpsycho.2010.09.004
  • Bohn-Gettler, C. M. (2019). Getting a grip: The PET framework for studying how reader emotions influence comprehension. Discourse Processes, 56(5-6), 386–401. https://doi.org/10.1080/0163853X.2019.1611174
  • Bonnet, C. T., Szaffarczyk, S., & Baudry, S. (2016). Functional synergy between postural and visual behaviors when performing a difficult precise visual task in upright stance. Cognitive Science, 41(6), 1675–1693. https://doi.org/10.1111/cogs.12420
  • Bradley, M. M., Cuthbert, B. N., & Lang, P. J. (1998). International affective digitized sounds. Technical manual and affective ratings. University of Florida, The Center for Research in Psychophysiology.
  • Bradley, M. M., & Lang, P. J. (1994). Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25(1), 49–59. https://doi.org/10.1016/0005-7916(94)90063-9
  • Bradley, M. M., & Lang, P. J. (1999). Affective norms for English words (ANEW): Instruction manual and affective ratings (Tech. Rep. No. C-1). University of Florida, The Center for Research in Psychophysiology, Gainsville.
  • Carretié, L., Albert, J., López-Martín, S., & Tapia, M. (2009). Negative brain: an integrative review on the neural processes activated by unpleasant stimuli. International Journal of Psychophysiology, 71(1), 57–63. https://doi.org/10.1016/j.ijpsycho.2008.07.006
  • Christensen, R. H. B. (2019). “Ordinal—regression models for ordinal data .” R package version 2019.12-10. https://CRAN.R-project.org/package=ordinal.
  • Christianson, SÅ, Loftus, E. F., Hoffman, H., & Loftus, G. R. (1991). Eye fixations and memory for emotional events. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17(4), 693–701. https://doi.org/10.1037/0278-7393.17.4.693
  • Citron, F. M., Gray, M. A., Critchley, H. D., Weekes, B. S., & Ferstl, E. C. (2014). Emotional valence and arousal affect reading in an interactive way: neuroimaging evidence for an approach-withdrawal framework. Neuropsychologia, 56, 79–89. https://doi.org/10.1016/j.neuropsychologia.2014.01.002
  • D'Mello, S. S., Chipman, P., & Graesser, A. (2007). Posture as a predictor of learner's affective engagement. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 29, No. 29).
  • Egidi, G., & Gerrig, R. J. (2009). How valence affects language processing: Negativity bias and mood congruence in narrative comprehension. Memory & Cognition, 37(5), 547–555. https://doi.org/10.3758/MC.37.5.547
  • Eich, E., & Metcalfe, J. (1989). Mood dependent memory for internal versus external events. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15(3), 443–455. https://doi.org/10.1037/0278-7393.15.3.443
  • Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
  • Fox, E., Russo, R., Bowles, R., & Dutton, K. (2001). Do threatening stimuli draw or hold visual attention in subclinical anxiety?. Journal of Experimental Psychology: General, 130(4), 681–700. http://doi.org/10.1037/0096-3445.130.4.681
  • Frijda, N. H. (2009). Emotion experience and its varieties. Emotion Review, 1(3), 264–271. https://doi.org/10.1177/1754073909103595
  • Gerrig, R. J. (1993). Experiencing narrative worlds: On the psychological activities of reading. Yale University Press.
  • Green, M. C., & Brock, T. C. (2000). The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology, 79(5), 701. https://doi.org/10.1037/0022-3514.79.5.701
  • Herrmann, B., & Johnsrude, I. S. (2020). A model of listening engagement (MoLE). Hearing Research, 397, 108016. https://doi.org/10.1016/j.heares.2020.108016
  • Hsu, C. T., Conrad, M., & Jacobs, A. M. (2014). Fiction feelings in Harry Potter: haemodynamic response in the mid-cingulate cortex correlates with immersive reading experience. Neuroreport, 25(17), 1356–1361. https://doi.org/10.1097/WNR.0000000000000272
  • Jacobs, A. M. (2015). Neurocognitive Poetics: Methods and models for investigating the neuronal and cognitive-affective bases of literature reception. Frontiers in Human Neuroscience, 9, 186. https://doi.org/10.3389/fnhum.2015.00186
  • Kaakinen, J. K., Ballenghein, U., Tissier, G., & Baccino, T. (2018). Fluctuation in cognitive engagement during reading: Evidence from concurrent recordings of postural and eye movements. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(10), 1671–1677. https://doi.org/10.1037/xlm0000539
  • Kaakinen, J. K., Hyönä, J., & Keenan, J. M. (2002). Perspective effects on online text processing. Discourse Processes, 33(2), 159–173. https://doi.org/10.1207/S15326950DP3302_03
  • Kaakinen, J. K., Hyönä, J., & Keenan, J. M. (2003). How prior knowledge, WMC, and relevance of information affect eye fixations in expository text. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(3), 447–457. https://doi.org/10.1037/0278-7393.29.3.447
  • Kaakinen, J. K., & Simola, J. (2020). Fluctuation in pupil size and spontaneous blinks reflect story transportation. Journal of Eye Movement Research, 13(3), https://doi.org/10.16910/jemr.13.3.6
  • Kaakinen, J. K., Werlen, E., Kammerer, Y., Acartürk, C., Aparicio, X., Baccino, T., Ballenghein, U., Bergamin, P., Castells, N., Costa, A., Falé, I., Mégalakaki, O., & Ruiz Fernández, S. (2022). Idest: International database of emotional short texts. Plos One, 17(10), e0274480. https://doi.org/10.1371/journal.pone.0274480
  • Kensinger, E. A. (2009). Remembering the details: Effects of emotion. Emotion Review, 1(2), 99–113. https://doi.org/10.1177/1754073908100432
  • Kneepkens, E. W., & Zwaan, R. A. (1995). Emotions and literary text comprehension. Poetics, 23(1-2), 125–138. https://doi.org/10.1016/0304-422X(94)00021-W
  • Knickerbocker, H., Johnson, R. L., & Altarriba, J. (2015). Emotion effects during reading: Influence of an emotion target word on eye movements and processing. Cognition and Emotion, 29(5), 784–806. https://doi.org/10.1080/02699931.2014.938023
  • Kousta, S. T., Vinson, D. P., & Vigliocco, G. (2009). Emotion words, regardless of polarity, have a processing advantage over neutral words. Cognition, 112(3), 473–481. https://doi.org/10.1016/j.cognition.2009.06.007
  • Kuijpers, M. M., Hakemulder, F., Tan, E. S., & Doicaru, M. M. (2014). Exploring absorbing reading experiences. Scientific Study of Literature, 4(1), 89–122. https://doi.org/10.1075/ssol.4.1.05kui
  • Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1997). Motivated attention: Affect, activation, and action. In P. J. Lang, R. F. Simons, & M. T. Balaban (Eds.), Attention and orienting: Sensory and motivational processes (pp. 97–135). Lawrence Erlbaum Associates Publishers.
  • Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1999). International affective picture system (IAPS): Instruction manual and affective ratings. The center for research in psychophysiology, University of Florida.
  • Lewis, P. A., Critchley, H. D., Rotshtein, P., & Dolan, R. J. (2006). Neural correlates of processing valence and arousal in affective words. Cerebral Cortex, 17(3), 742–748. https://doi.org/10.1093/cercor/bhk024
  • Megalakaki, O., Ballenghein, U., & Baccino, T. (2019). Effects of valence and emotional intensity on the comprehension and memorization of texts. Frontiers in Psychology, 10, 179. https://doi.org/10.3389/fpsyg.2019.00179
  • Miall, D. S., & Kuiken, D. (2002). A feeling for fiction: Becoming what we behold. Poetics, 30(4), 221–241. https://doi.org/10.1016/S0304-422X(02)00011-6
  • Miller, B. W. (2015). Using reading times and eye-movements to measure cognitive engagement. Educational Psychologist, 50(1), 31–42. https://doi.org/10.1080/00461520.2015.1004068
  • Moors, A. (2009). Theories of emotion causation: A review. Cognition & Emotion, 23(4), 625–662. https://doi.org/10.1080/02699930802645739
  • Oatley, K. (1995). A taxonomy of the emotions of literary response and a theory of identification in fictional narrative. Poetics, 23(1-2), 53–74. https://doi.org/10.1016/0304-422X(94)P4296-S
  • Pichora-Fuller, M. K., Kramer, S. E., Eckert, M. A., Edwards, B., Hornsby, B. W., Humes, L. E., Lemke, U., Lunner, T., Matthen, M., Mackersie, C. L., Naylor, G., Phillips, N. A., Richter, M., Rudner, M., Sommers, M. S., Tremblay, K. L., & Wingfield, A. (2016). Hearing impairment and cognitive energy: The framework for understanding effortful listening (FUEL). Ear & Hearing, 37(1), 5S–27S. https://doi.org/10.1097/AUD.0000000000000312
  • Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39(6), 1161. https://doi.org/10.1037/h0077714
  • Russell, J. A., & Barrett, L. F. (1999). Core affect, prototypical emotional episodes, and other things called emotion: dissecting the elephant. Journal of Personality and Social Psychology, 76(5), 805–819. https://doi.org/10.1037/0022-3514.76.5.805
  • Scott, G. G., O'Donnell, P. J., & Sereno, S. C. (2012). Emotion words affect eye fixations during reading. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38(3), 783. https://doi.org/10.1037/a0027209
  • Sinatra, G. M., Heddy, B. C., & Lombardi, D. (2015). The challenges of defining and measuring student engagement in science. Educational Psychologist, 50(1), 1–13. https://doi.org/10.1080/00461520.2014.1002924
  • Smith, N. K., Cacioppo, J. T., Larsen, J. T., & Chartrand, T. L. (2003). May I have your attention, please: Electrocortical responses to positive and negative stimuli. Neuropsychologia, 41(2), 171–183. https://doi.org/10.1016/S0028-3932(02)00147-1
  • Team, R. C. (2020). R: A language and environment for statistical computing (Version 4.0. 3)[Computer software]. R Foundation for Statistical Computing.
  • Usée, F., Jacobs, A. M., & Lüdtke, J. (2020). From abstract symbols to emotional (in-)sights: An eye tracking study on the effects of emotional vignettes and pictures. Frontiers in Psychology, 11, 905. https://doi.org/10.3389/fpsyg.2020.00905
  • Witchel, H. J., Santos, C. P., Ackah, J. K., Westling, C. E., & Chockalingam, N. (2016). Non-instrumental movement inhibition (NIMI) differentially suppresses head and thigh movements during screenic engagement: Dependence on interaction. Frontiers in Psychology, 7, 157. https://doi.org/10.3389/fpsyg.2016.00157