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Volume 12, Issue 3
  • ISSN 1871-1340
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Abstract

We examined the effects of emotion information (valence, arousal, and emotional experience) on lexical decision and semantic categorization (using a “Is the word pain-related or not?” decision criterion) performance for pain-related words. Using linear mixed-effects modeling, we observed facilitatory effects of emotional experience in both tasks, such that faster responses were associated with higher emotional experience ratings. We observed a marginally significant valence effect in the semantic categorization task, such that faster responses were associated with more unpleasantness ratings. These effects were observed even with several other predictor variables (e.g., frequency, age of acquisition, concreteness, physical pain experience ratings) included in the analyses. These results suggest that the dimensions of emotional experience and (to a lesser degree) valence underlie emotion conceptual knowledge of pain-related words; however, their influence appears to be dynamic, depending on task demands.

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2018-03-16
2023-05-28

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References

  1. Adelman, J. S. , & Estes, Z.
    (2013) Emotion and memory: A recognition advantage for positive and negative words independent of arousal. Cognition, 129, 530–535. doi: 10.1016/j.cognition.2013.08.014
     https://doi.org/10.1016/j.cognition.2013.08.014 [Google Scholar]
  2. Balota, D. A. , Yap, M. J. , Cortese, M. J. , Hutchison, K. A. , Kessler, B. , Loftis, B. , Neely, J. H. , Nelson, D. L. , Simpson, G. B. , & Treiman, R.
    (2007) The English lexicon project. Behavior Research Methods, 39, 445–459. doi: 10.3758/BF03193014
     https://doi.org/10.3758/BF03193014 [Google Scholar]
  3. Barsalou, L. W.
    (1999) Perceptual symbol systems. The Behavioral and Brain Sciences, 22, 577–660.
     [Google Scholar]
  4. (2003) Situated simulation in the human conceptual system. Language and Cognitive Processes, 18, 513–562. doi: 10.1080/01690960344000026
     https://doi.org/10.1080/01690960344000026 [Google Scholar]
  5. (2009) Simulation, situated conceptualization, and prediction. Philosophical Transactions of the Royal Society B, 364, 1281–1289. doi: 10.1098/rstb.2008.0319
     https://doi.org/10.1098/rstb.2008.0319 [Google Scholar]
  6. Barsalou, L. W. , Simmons, W. K. , Barbey, A. K. , & Wilson, C. D.
    (2003) Grounding conceptual knowledge in modality-specific systems. Trends in Cognitive Sciences, 7, 84–91. doi: 10.1016/S1364‑6613(02)00029‑3
     https://doi.org/10.1016/S1364-6613(02)00029-3 [Google Scholar]
  7. Barrett, L. F. , Wilson-Mendenhall, C. D. , & Barsalou, L. W.
    (2014) A psychological construction account of emotion regulation and dysregulation: The role of situated conceptualization. In J. J. Gross (Ed.), The Handbook of Emotion Regulation (2nd Ed, pp.447–465). New York: Guilford.
     [Google Scholar]
  8. Bates, D. , Maechler, M. , Bolker, B. , & Walker, S.
    (2015) Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 1–48. doi: 10.18637/jss.v067.i01
     https://doi.org/10.18637/jss.v067.i01 [Google Scholar]
  9. Bennett, S. D. R. , Burnett, A. N. , Siakaluk, P. D. , & Pexman, P. M.
    (2011) Imageability and body-object interaction ratings for 599 multisyllabic nouns. Behavior Research Methods, 43, 1100–1109. doi: 10.3758/s13428‑011‑0117‑5
     https://doi.org/10.3758/s13428-011-0117-5 [Google Scholar]
  10. Bradley, M. M. , & Lang, P. J.
    (1999) Affective norms for English words (ANEW): Stimuli, instruction manual and affective ratings (Technical Report C-1). Gainesville, FL: Center for Research in Psychophysiology, University of Florida.
     [Google Scholar]
  11. Brysbaert, M. , Warriner, A. B. , & Kuperman, V.
    (2014) Concreteness ratings for 40 thousand generally known English word lemmas. Behavior Research Methods, 46, 904–911. doi: 10.3758/s13428‑013‑0403‑5
     https://doi.org/10.3758/s13428-013-0403-5 [Google Scholar]
  12. Buchanan, L. , Westbury, C. , & Burgess, C.
    (2001) Characterizing the neighborhood: Semantic neighborhood effects in lexical decision and naming. Psychonomic Bulletin & Review, 8, 531–544. doi: 10.3758/BF03196189
     https://doi.org/10.3758/BF03196189 [Google Scholar]
  13. de Groot, A. M. B.
    (1989) Representational aspects of word imageability and word frequency as assessed through word association. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15, 824–845.
     [Google Scholar]
  14. Hargreaves, I. S. , Leonard, G. A. , Pexman, P. M. , Pittman, D. J. , Siakaluk, P. D. , & Goodyear, B. G.
    (2012) The neural correlates of the body-object interaction effect in semantic processing. Frontiers in Human Neuroscience. 6:22, 1–8. doi: 10.3389/fnhum.2012.00022
     https://doi.org/10.3389/fnhum.2012.00022 [Google Scholar]
  15. Hino, Y. , & Lupker, S. J.
    (1996) Effects of polysemy in lexical decision and naming: An alternative to lexical access accounts. Journal of Experimental Psychology: Human Perception and Performance, 22, 1331–1356.
     [Google Scholar]
  16. Hino, Y. , Lupker, S. J. , & Pexman, P. M.
    (2002) Ambiguity and synonymy effects in lexical decision, naming, and semantic categorization tasks: Interactions between orthography, phonology, and semantics. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28, 686–713.
     [Google Scholar]
  17. Hino, Y. , Pexman, P. M. , & Lupker, S. J.
    (2006) Ambiguity and relatedness effects in semantic tasks: Are they due to semantic coding?Journal of Memory & Language, 55, 247–273. doi: 10.1016/j.jml.2006.04.001
     https://doi.org/10.1016/j.jml.2006.04.001 [Google Scholar]
  18. James, C. T.
    (1975) The role of semantic information in lexical decisions. Journal of Experimental Psychology: Human Perception and Performance, 1, 130–136.
     [Google Scholar]
  19. Jastrzembski, J. E.
    (1981) Multiple meanings, number of related meanings, frequency of occurrence, and the lexicon. Cognitive Psychology, 13, 278–305. doi: 10.1016/0010‑0285(81)90011‑6
     https://doi.org/10.1016/0010-0285(81)90011-6 [Google Scholar]
  20. Jastrzembski, J. E. , & Stanners, R. F.
    (1975) Multiple word meanings and lexical search speed. Journal of Verbal Learning & Verbal Behavior, 14, 534–537. doi: 10.1016/S0022‑5371(75)80030‑2
     https://doi.org/10.1016/S0022-5371(75)80030-2 [Google Scholar]
  21. Juhasz, B. J. , & Yap, M. J.
    (2013) Sensory experience ratings for over 5,000 mono- and disyllabic words. Behavior Research Methods, 45, 160–168. doi: 10.3758/s13428‑012‑0242‑9
     https://doi.org/10.3758/s13428-012-0242-9 [Google Scholar]
  22. Juhasz, B. J. , Yap, M. J. , Dicke, J. , Taylor, S. C. , & Gullick, M. M.
    (2011) Tangible words are recognized faster: The grounding of meaning in sensory and perceptual systems. Quarterly Journal of Experimental Psychology, 64, 1683–1691. doi: 10.1080/17470218.2011.605150
     https://doi.org/10.1080/17470218.2011.605150 [Google Scholar]
  23. Kiefer, M. , & Pulvermüller, F.
    (2012) Conceptual representations in mind and brain: Theoretical developments, current evidence and future directions. Cortex, 48, 805–825. doi: 10.1016/j.cortex.2011.04.006
     https://doi.org/10.1016/j.cortex.2011.04.006 [Google Scholar]
  24. Kiverstein, J. , & Miller, M.
    (2015) The embodied brain: Towards a radical embodied cognitive neuroscience. Frontiers in Human Neuroscience. 9:237. doi: 10.3389/fnhum.2015.00237
     https://doi.org/10.3389/fnhum.2015.00237 [Google Scholar]
  25. Kousta, S. -T. , Vigliocco, G. , Vinson, D. P. , Andrews, M. , & Del Campo, E.
    (2011) The representation of abstract words: Why emotion matters. Journal of Experimental Psychology: General, 140, 14–34. doi: 10.1037/a0021446
     https://doi.org/10.1037/a0021446 [Google Scholar]
  26. Kousta, S. -T. , Vinson, D. P. , & Vigliocco, G.
    (2009) Emotion words, regardless of polarity, have a processing advantage over neutral words. Cognition, 112, 473–481. doi: 10.1016/j.cognition.2009.06.007
     https://doi.org/10.1016/j.cognition.2009.06.007 [Google Scholar]
  27. Kroll, J. F. , & Mervis, J. S.
    (1986) Lexical access for concrete and abstract words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12, 92–107.
     [Google Scholar]
  28. Kuperman, V. , Estes, Z. , Brysbaert, M. , & Warriner, A. B.
    (2014) Emotion and language: Valence and arousal affect word recognition. Journal of Experimental Psychology: General, 143, 1065–1081. doi: 10.1037/a0035669
     https://doi.org/10.1037/a0035669 [Google Scholar]
  29. Kuperman, V. , Stadthagen-Gonzalez, H. , & Brysbaert, M.
    (2012) Age-of-acquisition ratings for 30,000 English words. Behavior Research Methods, 44, 978–990. doi: 10.3758/s13428‑012‑0210‑4
     https://doi.org/10.3758/s13428-012-0210-4 [Google Scholar]
  30. Landauer, T. K. , & Dumais, S. T.
    (1997) A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104, 211–240. doi: 10.1037/0033‑295X.104.2.211
     https://doi.org/10.1037/0033-295X.104.2.211 [Google Scholar]
  31. Lund, K. , & Burgess, C.
    (1996) Producing high-dimensional semantic spaces from lexical co- occurrence. Behavior Research Methods, Instruments, & Computers, 28, 203–208. doi: 10.3758/BF03204766
     https://doi.org/10.3758/BF03204766 [Google Scholar]
  32. Moffat, M. , Siakaluk, P. D. , Sidhu, D. M. , & Pexman, P. M.
    (2015) Situated conceptualization and semantic processing: Effects of emotional experience and context availability in semantic categorization and naming tasks. Psychonomic Bulletin & Review, 22, 408–419. doi: 10.3758/s13423‑014‑0696‑0
     https://doi.org/10.3758/s13423-014-0696-0 [Google Scholar]
  33. Newcombe, P. I. , Campbell, C. , Siakaluk, P. D. , & Pexman, P. M.
    (2012) Effects of emotional and sensorimotor knowledge in semantic processing of concrete and abstract nouns. Frontiers in Human Neuroscience. 6:275. doi: 10.3389/fnhum.2012.00275
     https://doi.org/10.3389/fnhum.2012.00275 [Google Scholar]
  34. Pecher, D.
    (2001) Perception is a two-way junction: Feedback semantics in word recognition. Psychonomic Bulletin & Review, 8, 545–551. doi: 10.3758/BF03196190
     https://doi.org/10.3758/BF03196190 [Google Scholar]
  35. Pexman, P. M.
    (2012) Meaning based influences on visual word recognition. In J. S. Adelman (Ed.), Visual word recognition. Vol.2 (pp.24–43). New York: Psychology Press.
     [Google Scholar]
  36. Pexman, P. M. , Hargreaves, I. S. , Siakaluk, P. D. , Bodner, G. E. , & Pope, J.
    (2008) There are many ways to be rich: Effects of three measures of semantic richness on visual word recognition. Psychonomic Bulletin & Review, 15, 161–167. doi: 10.3758/PBR.15.1.161
     https://doi.org/10.3758/PBR.15.1.161 [Google Scholar]
  37. Pexman, P. M. , Holyk, G. G. , & Monfils, M. -H.
    (2003) Number of features effects and semantic processing. Memory & Cognition, 31, 842–855. doi: 10.3758/BF03196439
     https://doi.org/10.3758/BF03196439 [Google Scholar]
  38. Pexman, P. M. , Lupker, S. J. , & Hino, Y.
    (2002) The impact of feedback semantics in visual word recognition: Number of features effects in lexical decision and naming tasks. Psychonomic Bulletin & Review, 9, 542–549. doi: 10.3758/BF03196311
     https://doi.org/10.3758/BF03196311 [Google Scholar]
  39. Pexman, P. M. , & Yap, M. J.
    (in press). Individual differences in semantic processing: Insights from the Calgary semantic decision project. Journal of Experimental Psychology: Learning, Memory, & Cognition.
     [Google Scholar]
  40. Recio, G. , Conrad, M. , Hansen, L. B. , & Jacobs, A. M.
    (2014) On pleasure and thrill: The interplay between arousal and valence during visual word recognition. Brain and Language, 134, 34–43. doi: 10.1016/j.bandl.2014.03.009
     https://doi.org/10.1016/j.bandl.2014.03.009 [Google Scholar]
  41. Rubenstein, H. , Garfield, L. , & Millikan, J. A.
    (1970) Homographic entries in the internal lexicon. Journal of Verbal Learning & Verbal Behavior, 9, 487–494. doi: 10.1016/S0022‑5371(70)80091‑3
     https://doi.org/10.1016/S0022-5371(70)80091-3 [Google Scholar]
  42. Rubenstein, H. , Lewis, S. S. , & Rubenstein, M.
    (1971) Homographic entries in the internal lexicon: Effects of systematicity and relative frequency of meanings. Journal of Verbal Learning & Verbal Behavior, 10, 57–62. doi: 10.1016/S0022‑5371(71)80094‑4
     https://doi.org/10.1016/S0022-5371(71)80094-4 [Google Scholar]
  43. Scott, G. , O’Donnell, P. J. , & Sereno, S. C.
    (2014) Emotion words and categories: evidence from lexical decision. Cognitive Processing, 15, 209–215. doi: 10.1007/s10339‑013‑0589‑6
     https://doi.org/10.1007/s10339-013-0589-6 [Google Scholar]
  44. Shaoul, C. , & Westbury, C.
    (2010) Exploring lexical co-occurrence space using HiDEx. Behavior Research Methods, 42, 393–413. doi: 10.3758/BRM.42.2.393
     https://doi.org/10.3758/BRM.42.2.393 [Google Scholar]
  45. Siakaluk, P. D. , Buchanan, L. , & Westbury, C.
    (2003) The effect of semantic distance in yes/no and go/no-go semantic categorization tasks. Memory & Cognition, 31, 100–113. doi: 10.3758/BF03196086
     https://doi.org/10.3758/BF03196086 [Google Scholar]
  46. Siakaluk, P. D. , Knol, N. , & Pexman, P. M.
    (2014) Effects of emotional experience for abstract words in the Stroop task. Cognitive Science, 38, 1698–1717. doi: 10.1111/cogs.12137
     https://doi.org/10.1111/cogs.12137 [Google Scholar]
  47. Siakaluk, P. D. , Newcombe, P. I. , Duffels, B. , Li, E. , Sidhu, D. M. , Yap, M. J. , & Pexman, P. M.
    (2016) Effects of emotional experience in lexical decision. Frontiers in Psychology. 7:1157. doi: 10.3389/fpsyg.2016.01157
     https://doi.org/10.3389/fpsyg.2016.01157 [Google Scholar]
  48. Siakaluk, P. D. , Pexman, P. M. , Aguilera, L. , Owen, W. J. , & Sears, C. R.
    (2008) Evidence for the activation of sensorimotor information during visual word recognition: The body- object interaction effect. Cognition, 106, 433–443. doi: 10.1016/j.cognition.2006.12.011
     https://doi.org/10.1016/j.cognition.2006.12.011 [Google Scholar]
  49. Siakaluk, P. D. , Pexman, P. M. , Sears, C. R. , Wilson, K. , Locheed, K. , & Owen, W. J.
    (2008) The benefits of sensorimotor knowledge: Body-object interaction facilitates semantic processing. Cognitive Science, 32, 591–605. doi: 10.1080/03640210802035399
     https://doi.org/10.1080/03640210802035399 [Google Scholar]
  50. Tillotson, S. M. , Siakaluk, P. D. , & Pexman, P. M.
    (2008) Body-object interaction ratings for 1,618 monosyllabic nouns. Behavior Research Methods, 40, 1075–1078. doi: 10.3758/BRM.40.4.1075
     https://doi.org/10.3758/BRM.40.4.1075 [Google Scholar]
  51. Vigliocco, G. , Meteyard, L. , Andrews, M. , & Kousta, S.
    (2009) Toward a theory of semantic representation. Language and Cognition, 1, 219–248. doi: 10.1515/LANGCOG.2009.011
     https://doi.org/10.1515/LANGCOG.2009.011 [Google Scholar]
  52. Vinson, D. , Ponari, M. , & Vigliocco, G.
    (2014) How does emotional content affect lexical processing?Cognition and Emotion, 28, 737–746. doi: 10.1080/02699931.2013.851068
     https://doi.org/10.1080/02699931.2013.851068 [Google Scholar]
  53. Warriner, A. B. , Kuperman, V. , & Brysbaert, M.
    (2013) Norms of valence, arousal, and dominance for 13,915 English lemmas. Behavior Research Methods, 45, 1191–1207. doi: 10.3758/s13428‑012‑0314‑x
     https://doi.org/10.3758/s13428-012-0314-x [Google Scholar]
  54. Wellsby, M. , Siakaluk, P. D. , Owen, W. J. , & Pexman, P. M.
    (2011) Embodied semantic processing: The body-object interaction effect in a non-manual task. Language and Cognition, 3, 1–14. doi: 10.1515/langcog.2011.001
     https://doi.org/10.1515/langcog.2011.001 [Google Scholar]
  55. Wilson-Mendenhall, C. D. , Barrett, L. F. , Simmons, W. K. , & Barsalou, L. W.
    (2011) Grounding emotion in situated conceptualization. Neuropsychologia, 49, 1105–1127. doi: 10.1016/j.neuropsychologia.2010.12.032
     https://doi.org/10.1016/j.neuropsychologia.2010.12.032 [Google Scholar]
  56. Yap, M. J. , Pexman, P. M. , Wellsby, M. , Hargreaves, I. S. , & Huff, M.
    (2012) An abundance of riches: Cross-task comparisons of semantic richness effects in visual word recognition. Frontiers in Human Neuroscience. doi: 10.3389/fnhum.2012.00053
     https://doi.org/10.3389/fnhum.2012.00053 [Google Scholar]
  57. Yap, M. J. , & Seow, C. S.
    (2014) The influence of emotion on lexical processing: Insights from RT distributional analysis. Psychonomic Bulletin & Review, 21, 526–533. doi: 10.3758/s13423‑013‑0525‑x
     https://doi.org/10.3758/s13423-013-0525-x [Google Scholar]
  58. Yap, M. J. , Tan, S. E. , Pexman, P. M. , & Hargreaves, I. S.
    (2011) Is more always better? Effects of semantic richness on lexical decision, speeded pronunciation, and semantic classification. Psychonomic Bulletin & Review, 18, 742–750. doi: 10.3758/s13423‑011‑0092‑y
     https://doi.org/10.3758/s13423-011-0092-y [Google Scholar]
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Effects of emotion information on processing pain-related words in visual word recognition
The Mental Lexicon 12, 283 (2017); https://doi.org/10.1075/ml.17001.sia
/content/journals/10.1075/ml.17001.sia
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  • Article Type: Research Article
Keyword(s): arousal; emotion knowledge; emotional experience; grounded cognition; lexical-semantic representation; valence; visual word recognition

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