Chapter published in:
Learning to Read in a Digital World
Edited by Mirit Barzillai, Jenny Thomson, Sascha Schroeder and Paul van den Broek
[Studies in Written Language and Literacy 17] 2018
► pp. 141–164

Emotional and motivational aspects of digital reading

| University of Turku
| University of Szeged
| Fernfachhochschule Schweiz
| Gomez Universitat de Barcelona
| Fernfachhochschule Schweiz
| Université Paris 8
| Freie Universität Berlin
Emotions guide our actions and have a profound influence on how we approach, experience and later remember information. This chapter provides an overview of the role of emotions in reading and describes how emotional processes differ across digital and print texts. After introducing what emotions are and how they can be measured, we discuss the influence of text genre on inducing emotions. We further explore the effects of digital texts on the emotional experiences in narrative and expository text reading. We then consider the importance of the reader’s motivational orientation, as it may influence preferences for digital vs. print texts. Finally, we discuss the impact of the communicative and collaborative aspects of digital reading environments on the emotions emerging during reading. It is evident that little is known about the impact of digitalisation on emotional processes during reading, and more theory-based research is needed.
Published online: 09 August 2018
https://doi.org/10.1075/swll.17.06kaa
References

References

Altmann, U., Bohrn, I. C., Lubrich, O., Menninghaus, W., & Jacobs, A. M.
(2012) The power of emotional valence – from cognitive to affective processes in reading. Frontiers in Human Neuroscience, 6, 192. CrossrefGoogle Scholar
Anderson, A. A., Brossard, D., Scheufele, D. A., Xenos, M. A., & Ladwig, P.
(2014) The “nasty effect:” Online incivility and risk perceptions of emerging technologies. Journal of Computer-Mediated Communication, 19(3), 373–387. CrossrefGoogle Scholar
Augustine, N., Srinivasan C. R., & Richards, K.
(2015) Speech emotion recognition system using both spectral and prosodic features. Advanced Research in Electrical and Electronic Engineering, 2, 50–55.Google Scholar
Bohn-Gettler, C. M., & Rapp, D. N.
(2014) Emotion during reading and writing. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 437–457). New York, NY: Taylor & Francis.Google Scholar
(2011) Depending on my mood: Mood-driven influences on text comprehension. Journal of Educational Psychology, 103, 562–577. CrossrefGoogle Scholar
Bradley, M. M., & Lang, P. J.
(1994) Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavioral Therapy and Experimental Psychiatry, 25, 49–59. CrossrefGoogle Scholar
(1999) Affective Norms for English Words (ANEW): Stimuli instruction and affective ratings, technical report no. C-1. Gainesville, FL: University of Florida, Center for Research in Psychophysiology.Google Scholar
Busselle, R., & Bilandzic, H.
(2009) Measuring narrative engagement. Media Psychology, 12, 321–347. CrossrefGoogle Scholar
Calvani A., Fini A., Ranieri M., & Picci P.
(2012) Are young generations in secondary school digitally competent? A study on Italian teenagers. Computers & Education, 58(2), 797–807. CrossrefGoogle Scholar
Chen, S., & Granitz, N.
(2012) Adoption, rejection, or convergence: Consumer attitudes toward book digitization. Journal of Business Research, 65, 1219–1225. CrossrefGoogle Scholar
Citron, F. M.
(2012) Neural correlates of written emotion word processing: A review of recent electrophysiological and hemodynamic neuroimaging studies. Brain and Language, 122(3), 211–226. CrossrefGoogle Scholar
Coplan, A.
(2004) Empathic engagement with narrative fictions. The Journal of Aesthetics and Art Criticism, 62(2), 141–152. CrossrefGoogle Scholar
Cupchik, G. C., Oatley, K., & Vorderer, P.
(1998) Emotional effects of reading excerpts from short stories by James Joyce. Poetics, 25(6), 363–377. CrossrefGoogle Scholar
D’Mello, S. K.
(2013) A selective meta-analysis on the relative incidence of discrete affective states during learning with technology. Journal of Educational Psychology, 105(4), 1082–1099. CrossrefGoogle Scholar
D’Mello, S., & Graesser, A.
(2012) Dynamics of affective states during complex learning. Learning and Instruction, 22(2), 145–157. CrossrefGoogle Scholar
Davis, M. H.
(1983) Measuring individual differences in empathy: Evidence for a multidimensional approach. Journal of Personality and Social Psychology, 44(1), 113–126. CrossrefGoogle Scholar
Deci, E. L., & Ryan, R. M.
(1985) Intrinsic motivation and self-determination in human behavior. New York: Plenum Press. CrossrefGoogle Scholar
DeVega, M., Leon, I., & Diaz, J. M.
(1996) The representation of changing emotions in reading comprehension. Cognition & Emotion, 10, 303–321. CrossrefGoogle Scholar
Djikic, M., Oatley, K., & Moldoveanu, M. C.
(2013) Reading other minds. Effects of literature on empathy. Scientific Study of Literature, 3, 28–47. CrossrefGoogle Scholar
Douglas, Y., & Hargadon, A.
(2001) The pleasure of immersion and engagement schemas, scripts, and the fifth business. Digital Creativity, 12(3), 153–166. CrossrefGoogle Scholar
Ekman, P., & Cordaro, D.
(2011) What is meant by calling emotions basic. Emotion Review, 3(4), 364–370. CrossrefGoogle Scholar
Ekman, P., & Friesen, W. V.
(1978) The facial action coding system. Palo Alto, CA: Consulting Psychological Press.Google Scholar
El Kaliouby, R., Kodra, E., Jha, P., & Mediratta, N.
(2014) Does facial coding generalize across cultures? A spotlight on Asia. Affectiva. Retrieved from http://​www​.affectiva​.com​/science​-resource​/does​-facial​-coding​-generalize​-across​-cultures​-a​-spotlight​-on​-asia/.Google Scholar
Ellsworth, P. C., & Scherer, K. R.
(2003) Appraisal processes in emotion. In R. J. Davidson, H. Goldsmith, & K. R. Scherer (Eds.), Handbook of affective sciences (pp. 572–595). New York and Oxford: Oxford University Press.Google Scholar
Eshet-Alkalai, Y., & Amichai-Hamburger, Y.
(2004) Experiments in digital literacy. CyberPsychology and Behavior, 7, 421–429. CrossrefGoogle Scholar
Eyben, F., Wöllmer, M., & Schuller, B.
(2009) OpenEAR – introducing the Munich open-source emotion and affect recognition toolkit. In 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops (pp. 1–6). IEEE. Crossref
Ferstl, E. C., Rinck, M., & Von Cramon, D. Y.
(2005) Emotional and temporal aspects of situation model processing during text comprehension: An event-related fMRI study. Journal of Cognitive Neuroscience, 17(5), 724–739. CrossrefGoogle Scholar
Fortunati, L., & Vincent, J.
(2014) Sociological insights on the comparison of writing/reading on paper with writing/reading digitally. Telematics and Informatics, 31, 39–51. CrossrefGoogle Scholar
Furnham, A., & Chamorro-Premuzic, T.
(2004) Personality, intelligence, and art. Personality and Individual Differences, 36, 705–715. CrossrefGoogle Scholar
Gernsbacher, M. A., Hallada, B. M., & Robertson, R. R.
(1998) How automatically do readers infer fictional characters’ emotional states? Scientific Studies of Reading, 2(3), 271–300. CrossrefGoogle Scholar
Gernsbacher, M. A., Goldsmith, H. H., & Robertson, R. W.
(1992) Do readers mentally represent characters’ emotional states? Cognition & Emotion, 6, 89–111. CrossrefGoogle Scholar
Gerrig, R. J.
(1993) Experiencing narrative worlds. New Haven: Yale University Press.Google Scholar
Green, M. C.
(2004) Transportation into narrative worlds: The role of prior knowledge and perceived realism. Discourse Processes, 38(2), 247–266. CrossrefGoogle Scholar
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), 701–721. CrossrefGoogle Scholar
Gygax, P., Oakhill, J., & Garnham, A.
(2003) The representation of characters’ emotional responses: Do readers infer specific emotions? Cognition & Emotion, 17(3), 413–428. CrossrefGoogle Scholar
Hatfield, E., Cacioppo J. T., & Rapson R. L.
(1992) Primitive emotional contagion. Review of Personality and Social Psychology, 14, 151–177.Google Scholar
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, 1356–1361. CrossrefGoogle Scholar
Hsu C. T., Jacobs A. M., Altmann U., & Conrad M.
(2015) The magical activation of left amygdala when reading Harry Potter: An fMRI study on how descriptions of supra-natural events entertain and enchant. PLoS ONE, 10(2): e0118179. CrossrefGoogle Scholar
Hsu, C. T., Jacobs, A. M., Citron, F. M., & Conrad, M.
(2015) The emotion potential of words and passages in reading Harry Potter – An fMRI study. Brain and Language, 142, 96–114. CrossrefGoogle Scholar
Izard, C. E.
(2011) Forms and functions of emotions: Matters of emotion–cognition interactions. Emotion Review, 3(4), 371–378. CrossrefGoogle Scholar
Jacobs, A. M.
(2015a) Towards a neurocognitive poetics model of literary reading. In R. M. Willems (Ed.), Cognitive neuroscience of natural language use (pp. 135–159). Cambridge, UK: Cambridge University Press. CrossrefGoogle Scholar
(2015b) Neurocognitive poetics: Methods and models for investigating the neuronal and cognitive-affective basis of literature reception. Frontiers in Human Neuroscience, 9, 186. CrossrefGoogle Scholar
Jacobs, A. M., Võ, M. L.-H, Briesemeister, B. B., Conrad, M., Hofmann, M. J., Kuchinke, L., Lüdtke, J., & Braun, M.
(2015) 10 years of BAWLing into affective and aesthetic processes in reading: What are the echoes? Frontiers in Psychology, 6, Article 714. CrossrefGoogle Scholar
Kagan, J.
(2010) Once more into the breach. Emotion Review, 2, 91–99. CrossrefGoogle Scholar
Knickerbocker, H., Johnson, R. L., & Altarriba, J.
(2014) Emotion effects during reading: Influence of an emotion target word on eye movements and processing. Cognition and Emotion, 29(5), 784–806. CrossrefGoogle Scholar
Koelsch, S., Jacobs, A. M., Menninghaus, W., Liebal, K., Klann-Delius, G., & Sheve von, C.
(2015) The quartet theory of human emotions: An integrative and neurofunctional model. Physics of Life Reviews, 13, 1–27. CrossrefGoogle Scholar
Komeda, H., & Kusumi, T.
(2006) The effect of a protagonist’s emotional shift on situation model construction. Memory & Cognition, 34(7), 1548–1556. CrossrefGoogle Scholar
Kramer A. D. I., Guillory J. E., & Hancock J. T.
(2014) Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences, 111(24), 8788–8790. CrossrefGoogle Scholar
Kreibig, S. D.
(2010) Autonomic nervous system activity in emotion: A review. Biological Psychology, 84, 394–421. CrossrefGoogle Scholar
Larson, L. C.
(2015) E- books and audiobooks: Extending the digital reading experience. The Reading Teacher, 69(2), 169–177. CrossrefGoogle Scholar
Levenson, R. W.
(2011) Basic emotion questions. Emotion Review, 3(4), 379–386. CrossrefGoogle Scholar
Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E., & Barrett, L. F.
(2012) The brain basis of emotion: A meta-analytic review. Behavioral and Brain Sciences, 35(03), 121–143. CrossrefGoogle Scholar
Loijens, L., Krips, O., van Kuilenburg, H, den Uyl, M., Ivan, P., Theuws, H., & Spink, A.
(2014) FaceReader. Tool for automatic analysis of facial expression. Reference Manual Version 6. Noldus: Wageningen.Google Scholar
Lüdtke, J., & Jacobs, A. M.
(2015) The emotion potential of simple sentences: Additive or interactive effects of nouns and adjectives? Frontiers in Psychology, 6, 1137. CrossrefGoogle Scholar
Lüdtke, J., Meyer-Sickendieck, B., & Jacobs, A. M.
(2014) Immersing in the stillness of an early morning: Testing the mood empathy hypothesis of poetry reception. Psychology of Aesthetics, Creativity, and the Arts, 8(3), 363–377. CrossrefGoogle Scholar
Mangen, A.
(2008) Hypertext fiction reading: Haptics and immersion. Journal of Research in Reading, 31(4), 404–419. CrossrefGoogle Scholar
Mangen, A., & Kuiken, D.
(2014) Lost in an iPad: Narrative engagement on paper and tablet. Scientific Study of Literature, 4(2), 150–178. CrossrefGoogle Scholar
Mar, R. A., Djikic, M., & Oatley, K.
(2008) Effects of reading on knowledge, social abilities, and selfhood. In S. Zyngier, M. Bortolussi, A. Chesnokova, & J. Auracher (Eds.), Directions in empirical studies in literature: In honor of MWillie van Peer (pp. 127–137). Amsterdam: John Benjamins. CrossrefGoogle Scholar
Mauss, I. B., & Robinson, M. D.
(2009) Measures of emotion: A review. Cognition and Emotion, 23(2), 209–237. CrossrefGoogle Scholar
McDaniel, M. A., & Einstein, G. O.
(1989) Material-appropriate processing: A contextualist approach to reading and studying strategies. Educational Psychology Review, 1, 113–145. CrossrefGoogle Scholar
McGeown, S. P., Osborne, C., Warhurst, A., Norgate, R., & Duncan, L. G.
(2016) Understanding children’s reading activities: Reading motivation, skill and child characteristics as predictors. Journal of Research in Reading, 39(1), 109–125. CrossrefGoogle Scholar
Meyer, B. J. F., & Freedle, R. O.
(1984) Effects of discourse type on recall. American Educational Research Journal, 21, 121–143. CrossrefGoogle Scholar
Meyer, B. J. F., Theodorou, E., Brezinski, K. L., Middlemiss, W., McDougall, J., & Bartlett, B. J.
(2002) Effects of structure strategy instruction delivered to fifth-grade children using the Internet with and without the aid of older adult tutors. Journal of Educational Psychology, 94(3), 486–519. CrossrefGoogle Scholar
Miall, D. S.
(2004) Reading hypertext – theoretical ambitions and empirical studies. Retrieved from http://​computerphilologie​.uni​-muenchen​.de​/jg03​/miall​.html.
Miall, D. S., & Dobson, T.
(2001) Reading hypertext and the experience of literature. Journal of Digital Information, 2. Retrieved from https://​journals​.tdl​.org​/jodi​/index​.php​/jodi​/article​/view​/35​/37.Google Scholar
Miall, D. S., & Kuiken, D.
(2002) A feeling for fiction: Becoming what we behold. Poetics, 30, 221–241. CrossrefGoogle Scholar
Mills, C., D’Mello, S. K., & Kopp, K.
(2015) The influence of consequence value and text difficulty on affect, attention, and learning while reading instructional texts. Learning & Instruction, 40, 9–20. CrossrefGoogle Scholar
Miranda, T., Williams-Rossi, D., Johnson, K. A., & McKenzie, N.
(2011) Reluctant readers in middle school: Successful engagement with text using the e-reader. International Journal of Applied Science and Technology, 1(6), 81–91.Google Scholar
Montefinese, M., Ambrosini, E., Fairfield, B., & Mammarella, N.
(2014) The adaptation of the Affective Norms for English Words (ANEW) for Italian. Behavior Research Methods, 46(3), 887–903. CrossrefGoogle Scholar
Muis, K. R., Pekrun, R., Sinatra, G. M., Azevedo, R., Trevors, G., Meier, E., & Heddy, B. C.
(2015) The curious case of climate change: Testing a theoretical model of epistemic beliefs, epistemic emotions, and complex learning. Learning and Instruction, 39, 168–183. CrossrefGoogle Scholar
Nummenmaa, L., Glerean, E., Hari, R., & Hietanen, J. K.
(2014) Bodily maps of emotions. Proceedings of the National Academy of Sciences, 111(2), 646–651. CrossrefGoogle Scholar
Oatley, K.
(1994) A taxonomy of the emotions of literary response and a theory of identification in fictional narrative. Poetics, 23, 53–74. CrossrefGoogle Scholar
Oatley, K., Keltner D., & Jenkins J. M.
(2006) Understanding emotions (2nd ed.). Oxford, UK: Blackwell.Google Scholar
Panksepp, J., & Watt, D.
(2011) What is basic about basic emotions? Lasting lessons from affective neuroscience. Emotion Review, 3(4), 387–396. CrossrefGoogle Scholar
Pekrun, R.
(2006) The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18, 315–341. CrossrefGoogle Scholar
Pekrun, R., Frenzel, A. C., Goetz, T., & Perry, R. P.
(2007) The control-value theory of achievement emotions: An integrative approach to emotions in education. In P. A. Schutz & R. Pekrun (Eds.), Emotion in education. Educational psychology series (pp. 13–36). San Diego, CA: Elsevier. CrossrefGoogle Scholar
Pekrun, R., & Perry, R. P.
(2014) Control-value theory of achievement emotions. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 120–141). New York, NY: Taylor & Francis.Google Scholar
Pekrun, R., Vogl, E., Muis. K. R., & Sinatra, G. M.
(2016) Measuring emotions during epistemic activities: The Epistemically-Related Emotion Scales. Cognition and Emotion. CrossrefGoogle Scholar
Ponz, A., Montant, M., Liegeois-Chauvel, C., Silva, C., Braun, M., Jacobs, A. M., & Ziegler, J. C.
(2013) Emotion processing in words: A test of the neural re-use hypothesis using surface and intracranial EEG. Social Cognitive and Affective Neuroscience, 9(5), 619–627, CrossrefGoogle Scholar
Provine, R. R., Spencer, R. J., & Mandell, D. L.
(2007) Emotional expression online: Emoticons punctuate website text messages. Journal of Language and Social Psychology, 26, 299–307. CrossrefGoogle Scholar
Redondo, J., Fraga, I., Padrón, I., & Comesaña, M.
(2007) The Spanish adaptation of ANEW (Affective Norms for English Words). Behavior Research Methods, 39(3), 600–605. CrossrefGoogle Scholar
Rice, R. E., & Love, G.
(1987) Electronic emotion: Socioemotional content in a computer-mediated communication network. Communication Research, 14, 85–108. CrossrefGoogle Scholar
Rockinson-Szapkiw, A. J., Courduff, J., Carter, K., & Bennett, D.
(2013) Electronic versus traditional print textbooks: A comparison study on the influence of university students’ learning. Computers & Education, 63, 259–266. CrossrefGoogle Scholar
Ryan, M-L.
(2001) Narrative as virtual reality: Immersion and interactivity in literature and electronic media. Baltimore and London: Johns Hopkins University Press.Google Scholar
Saarimäki, H., Gotsopoulos, A., Jääskeläinen, I. P., Lampinen, J., Vuilleumier, P., Hari, R. Sams, M., & Nummenmaa, L.
(2016) Discrete neural signatures of basic emotions. Cerebral Cortex, 26(6), 2563–2573. CrossrefGoogle Scholar
Schlochtermeier L. H., Pehrs C., Kappelhoff H., Kuchinke L., & Jacobs A. M.
(2015) Emotion processing in different media types: Realism, complexity, and immersion. Journal of Systems and Integrative Neuroscience, 1, 41–47. CrossrefGoogle Scholar
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), 783–792. CrossrefGoogle Scholar
Seilman, U., & Larsen S. F.
(1989) Personal resonance to literature: A study of reminding while reading. Poetics, 18, 165–177. CrossrefGoogle Scholar
Sellen, A., & Harper, R.
(2002) The myth of the paperless office. Cambridge: MIT Press.Google Scholar
Simonsen, S.
(1996) Identifying and teaching text structures in content area classrooms. In D. Lapp, J. Flood, & N. Farnan (Eds.), Content area reading and learning: Instructional strategies (2nd ed., pp. 59–76). Needham Heights, MA: Allyn & Bacon.Google Scholar
Söderholm, C., Häyry, E., Laine, M., & Karrasch, M.
(2013) Valence and arousal ratings for 420 Finnish nouns by age and gender. PLoS ONE, 8(8), e72859. CrossrefGoogle Scholar
Stein, N. L., & Trabasso, T.
(1981) What’s in a story: An approach to comprehension and instruction. In R. Glaser (Ed.), Advances in instructional psychology (pp. 213–267). Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Stone, R. W., & Baker-Eveleth, L.
(2013) Students’ expectation, confirmation and continuance intention to use electronic textbooks. Computers in Human Behavior, 29, 984–990. CrossrefGoogle Scholar
Sweet, A. P., Guthrie, J. T., & Ng, M. M.
(1998) Teacher perceptions and student reading motivation. Journal of Educational Psychology, 90(2), 210–223. CrossrefGoogle Scholar
Tan, E. S.
(1996) Emotion and the structure of narrative film: Film as an emotion machine. Mahwah, NJ: Erlbaum.Google Scholar
(2000) Emotion, art and the humanities. In M. Lewis & J. M. Haviland-Jones (Eds.), Handbook of emotions (pp. 116–136). New York: Guilford Press.Google Scholar
Taylor, M., & Carlson, S. M.
(1997) The relationship between individual differences in fantasy and theory of mind. Child Development, 68, 436–455. CrossrefGoogle Scholar
Tellegen, A., & Atkinson, G.
(1974) Openness to absorbing and self-altering experiences (“absorption”), a trait related to hypnotic susceptibility. Journal of Abnormal Psychology, 83(3), 268–277. CrossrefGoogle Scholar
Thorvaldsen, S., Egeberg, G., Pettersen, G. O., & Vavik, L.
(2011) Digital dysfunctions in primary school: A pilot study. Computers and Education, 56, 312–319. CrossrefGoogle Scholar
Tracy, J. L., & Randles, D.
(2011) Four models of basic emotions: A review of Ekman and Cordaro, Izard, Levenson, and Panksepp and Watt. Emotion Review, 3(4), 397–405. CrossrefGoogle Scholar
Tveist, A. K., & Mangen, A.
(2014) A joker in the class: Teenage readers’ attitudes and preferences to reading on different devices. Library & Information Science Research, 36, 179–184. CrossrefGoogle Scholar
Võ, M. L., Conrad, M., Kuchinke, L., Urton, K., Hofmann, M. J., & Jacobs, A. M.
(2009) The Berlin affective word list reloaded (BAWL-R). Behavior Research Methods, 41(2), 534–538. CrossrefGoogle Scholar
Watson, D., Clark, L. A., & Tellegen, A.
(1988) Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. CrossrefGoogle Scholar
Westlund, J. K., D’Mello, S. K., & Olney, A. M.
(2015) Motion Tracker: Camera-based monitoring of bodily movements using motion silhouettes. PLoS ONE, 10(6), e0130293. CrossrefGoogle Scholar
Woody, W. D., Daniel, D. B., & Baker, C. A.
(2010) E-books or textbooks: Students prefer textbooks. Computers & Education, 55, 945–948. CrossrefGoogle Scholar
Zwaan, R.
(1994) Effect of genre expectations on text comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 920–933. CrossrefGoogle Scholar
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