E-MOVIE - Experimental MOVies for Induction of Emotions in neuroscience: An innovative film database with normative data and sex differences

Antonio Maffei, Alessandro Angrilli, Antonio Maffei, Alessandro Angrilli

Abstract

The need for a validated set of emotional clips to elicit emotions in more ecological experiments is increasing. Here we present the validation of a new database of emotional films, named E-MOVIE, which includes, in this first validation phase, 39 excerpts arranged in six categories, three negative (Fear, Sadness and Compassion), two positive (Erotic and Scenery) and a Neutral category. Notably, Compassion and Scenery are new in the field as they were not included in other databases. The clips in E-MOVIE are characterized by homogenous durations of approximately two minutes, which make them suitable for psychophysiological research. In order to study the affective profile prompted by each category 174 participants (112 women) rated the movies on multiple dimensions, namely valence and arousal, intensity and discreteness of the induction of one of the six basic emotions and, finally, intensity of the experience of the emotional states defined by a series of emotional adjectives. Erotic clips were effective in the elicitation of a positive emotional state, characterized by high levels of arousal and excitement. On the other hand, Fear clips (selected without blood to avoid disgust reaction) prompted an affect characterized by high arousal, low valence and high levels of reported fear and anxiety. Women reported greater unpleasantness, distress, anxiety and jittery than men to the three negative categories. Compassion clips, characterized by the depiction of crying characters, were able to induce an affective state dominated by sadness and feeling touched, consistent with an empathic reaction to emotional sufferance. Sadness clips, instead, elicited an affective state characterized by sadness together with distress and angst. We also demonstrated that clips depicting natural environments (i.e. Scenery) prompted in the viewer a surprised, inspired affective state, characterized by high valence and arousal (especially in males), a result which suggests that their past categorization as neutral stimuli was inaccurate and problematic.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. Effect of film categories on…
Fig 1. Effect of film categories on self-reported valence and arousal.
Asterisks indicate significant (p

Fig 2. Distribution of the 39 film…

Fig 2. Distribution of the 39 film clips in the valence-arousal affective space.

Fig 2. Distribution of the 39 film clips in the valence-arousal affective space.

Fig 3. Evaluation of the 6 film…

Fig 3. Evaluation of the 6 film categories according to the main seven basic emotions.

Fig 3. Evaluation of the 6 film categories according to the main seven basic emotions.
Bars represent SE.

Fig 4. Evaluation of the six film…

Fig 4. Evaluation of the six film categories according to eleven emotional adjectives.

Asterisks indicate…

Fig 4. Evaluation of the six film categories according to eleven emotional adjectives.
Asterisks indicate significant (p

Fig 5. Comparison of the eleven emotional…

Fig 5. Comparison of the eleven emotional adjectives for each film clip category.

Bars represent…

Fig 5. Comparison of the eleven emotional adjectives for each film clip category.
Bars represent SE.

Fig 6. Familiarity plot.

Percentage (in vertical)…

Fig 6. Familiarity plot.

Percentage (in vertical) of participants who reported to have previously seen…

Fig 6. Familiarity plot.
Percentage (in vertical) of participants who reported to have previously seen the clip. In horizontal axis is represented each of the 39 films. The horizontal blue line represents the threshold of 15 participants who had already watched the film (which represents 8.6% of all participants). The threshold was surpassed by 19 film clips.
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References
    1. Rottenberg J, Ray RD, Gross JJ. Emotion elicitation using films. Handbook of emotion elicitation and assessment. Handbook of emotion elicitation and assessment Series in affective science. 2007. p. 2–28.
    1. Bradley MM, Lang PJ. The International Affective Digitized Sounds (2nd Edition; IADS-2): Affective ratings of sounds and instruction manual Gainesville, FL: University of Florida; 2007.
    1. Felnhofer A, Kothgassner OD, Schmidt M, Heinzle AK, Beutl L, Hlavacs H, et al. Is virtual reality emotionally arousing? Investigating five emotion inducing virtual park scenarios. Int J Hum Comput Stud. 2015;82:48–56.
    1. Lang PJ, Bradley MM, Cuthbert BN. International affective picture system (IAPS): Instruction manual and affective ratings. Technical Report A-2. Gainesville, FL: University of Florida; 1999.
    1. Lang PJ, Bradley MM, Cuthbert BN. International affective picture system (IAPS): Instruction manual and affective ratings. Technical Report A-2. Gainesville, FL: University of Florida; 1999.
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Grant support
This work was partially funded by a grant from Ministry of Research MIUR (Dipartimenti di Eccellenza DM 11/05/2017 n.262) to the Department of General Psychology, University of Padova. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Fig 2. Distribution of the 39 film…
Fig 2. Distribution of the 39 film clips in the valence-arousal affective space.
Fig 3. Evaluation of the 6 film…
Fig 3. Evaluation of the 6 film categories according to the main seven basic emotions.
Bars represent SE.
Fig 4. Evaluation of the six film…
Fig 4. Evaluation of the six film categories according to eleven emotional adjectives.
Asterisks indicate significant (p

Fig 5. Comparison of the eleven emotional…

Fig 5. Comparison of the eleven emotional adjectives for each film clip category.

Bars represent…

Fig 5. Comparison of the eleven emotional adjectives for each film clip category.
Bars represent SE.

Fig 6. Familiarity plot.

Percentage (in vertical)…

Fig 6. Familiarity plot.

Percentage (in vertical) of participants who reported to have previously seen…

Fig 6. Familiarity plot.
Percentage (in vertical) of participants who reported to have previously seen the clip. In horizontal axis is represented each of the 39 films. The horizontal blue line represents the threshold of 15 participants who had already watched the film (which represents 8.6% of all participants). The threshold was surpassed by 19 film clips.
Fig 5. Comparison of the eleven emotional…
Fig 5. Comparison of the eleven emotional adjectives for each film clip category.
Bars represent SE.
Fig 6. Familiarity plot.
Fig 6. Familiarity plot.
Percentage (in vertical) of participants who reported to have previously seen the clip. In horizontal axis is represented each of the 39 films. The horizontal blue line represents the threshold of 15 participants who had already watched the film (which represents 8.6% of all participants). The threshold was surpassed by 19 film clips.

References

    1. Rottenberg J, Ray RD, Gross JJ. Emotion elicitation using films. Handbook of emotion elicitation and assessment. Handbook of emotion elicitation and assessment Series in affective science. 2007. p. 2–28.
    1. Bradley MM, Lang PJ. The International Affective Digitized Sounds (2nd Edition; IADS-2): Affective ratings of sounds and instruction manual Gainesville, FL: University of Florida; 2007.
    1. Felnhofer A, Kothgassner OD, Schmidt M, Heinzle AK, Beutl L, Hlavacs H, et al. Is virtual reality emotionally arousing? Investigating five emotion inducing virtual park scenarios. Int J Hum Comput Stud. 2015;82:48–56.
    1. Lang PJ, Bradley MM, Cuthbert BN. International affective picture system (IAPS): Instruction manual and affective ratings. Technical Report A-2. Gainesville, FL: University of Florida; 1999.
    1. Lang PJ, Bradley MM, Cuthbert BN. International affective picture system (IAPS): Instruction manual and affective ratings. Technical Report A-2. Gainesville, FL: University of Florida; 1999.
    1. Zentner M, Grandjean D, Scherer KR. Emotions evoked by the sound of music: characterization, classification, and measurement. Emotion. 2008;8(4):494–521. 10.1037/1528-3542.8.4.494
    1. De Cesarei A, Loftus GR, Mastria S, Codispoti M. Understanding natural scenes: Contributions of image statistics. Neurosci Biobehav Rev. 2017;74:44–57. 10.1016/j.neubiorev.2017.01.012
    1. Ekman P, Friesen W. Pictures of Facial Affect Palo Alto (CA): Consulting Psychology Press; 1976.
    1. Lundqvist D, Flykt A, Öhman A. The Karolinska Directed Emotional Faces—KDEF, CD ROM from Department of Clinical Neuroscience, Psychology section Karolinska Institut, ISBN 91-630-7164-9. 1998;
    1. Marchewka A, Zurawski L, Jednoróg K, Grabowska A. The Nencki Affective Picture System (NAPS): Introduction to a novel, standardized, wide-range, high-quality, realistic picture database. Behav Res Methods. 2014;46(2):596–610. 10.3758/s13428-013-0379-1
    1. Westermann R, Stahl G, Hesse FW. Relative effectiveness and validity of mood induction procedures: a meta-analysis. Eur J Soc Psychol. 1996;26:557–80.
    1. Schaefer A, Nils F, Sanchez X, Philippot P. Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers. Cogn Emot. 2010;24(7):1153–72.
    1. Philippot P. Inducing and assessing differentiated emotion-feeling states in the laboratory. Cogn Emot. 1993. March 7;7(2):171–93. 10.1080/02699939308409183
    1. Gross JJ, Levenson RW. Emotion elicitation using films. Cogn Emot. 1995. January;9(1):87–108.
    1. Gabert-Quillen CA, Bartolini EE, Abravanel BT, Sanislow CA. Ratings for emotion film clips. Behav Res Methods. 2015;47(3):773–87. 10.3758/s13428-014-0500-0
    1. Gilman TL, Shaheen R, Nylocks KM, Halachoff D, Chapman J, Flynn JJ, et al. A film set for the elicitation of emotion in research: A comprehensive catalog derived from four decades of investigation. Behav Res Methods. 2017. January 11;1–22. 10.3758/s13428-015-0685-x
    1. Jenkins LM, Andrewes DG. A New Set of Standardised Verbal and Non-verbal Contemporary Film Stimuli for the Elicitation of Emotions. Brain Impair. 2012;13(2):212–27.
    1. Samson AC, Kreibig SD, Soderstrom B, Wade AA, Gross JJ. Eliciting positive, negative and mixed emotional states: A film library for affective scientists. Cogn Emot. 2015;30(5):827–56. 10.1080/02699931.2015.1031089
    1. von Leupoldt A, Rohde J, Beregova A, Thordsen-Sörensen I, zur Nieden J, Dahme B. Films for eliciting emotional states in children. Behav Res Methods. 2007;39(3):606–9.
    1. Sternbach RA. Assessing differential autonomic patterns in emotions. J Psychosom Res. 1962;6(2):87–91.
    1. Kreibig SD. Autonomic nervous system activity in emotion: A review. Biol Psychol. 2010;84:14–41
    1. Golland Y, Keissar K, Levit‐Binnun N. Studying the dynamics of autonomic activity during emotional experience. Psychophysiology. 2014;51(11):1101–1111. 10.1111/psyp.12261
    1. Golland Y, Hakim A, Aloni T, Schaefer S, Levit-Binnun N. Affect dynamics of facial EMG during continuous emotional experiences. Biol Psychol. 2018;139:47–58. 10.1016/j.biopsycho.2018.10.003
    1. Carvalho S, Leite J, Galdo-Álvarez S, Gonçalves ÓF. The emotional movie database (EMDB): A self-report and psychophysiological study. Appl Psychophysiol Biofeedback. 2012;37(4):279–94. 10.1007/s10484-012-9201-6
    1. Hewig J, Hagemann D, Seifert J, Gollwitzer M, Naumann E, Bartussek D. A revised film set for the induction of basic emotions. Cogn Emot. 2005;19(7):1095–109.
    1. Frijda NH. Aesthetic emotions and reality. Am Psychol. 1989;44(12):1546–7.
    1. Ekman P. An argument for basic emotions. Cogn Emot. 1992;6(3):169–200.
    1. Palomba D, Sarlo M, Angrilli A, Mini A, Stegagno L. Cardiac responses associated with affective processing of unpleasant film stimuli. Int J Psychophysiol. 2000;36(1):45–57. 10.1016/s0167-8760(99)00099-9
    1. Sarlo M, Buodo G, Poli S, Palomba D. Changes in EEG alpha power to different disgust elicitors: The specificity of mutilations. Neurosci Lett. 2005;382(3):291–6. 10.1016/j.neulet.2005.03.037
    1. Gross JJ, Fredrickson BL, Levenson RW. The psychophysiology of crying. Psychophysiology. 1994;31(5):460–8. 10.1111/j.1469-8986.1994.tb01049.x
    1. Hendriks MCP, Croon M a, Vingerhoets AJJM. Social reactions to adult crying: the help-soliciting function of tears. J Soc Psychol. 2008;148(1):22–41. 10.3200/SOCP.148.1.22-42
    1. Hendriks MCP, Vingerhoets AJJM. Social messages of crying faces: Their influence on anticipated person perception, emotions and behavioural responses. Cogn Emot. 2006;20(6):878–86.
    1. Decety J, Meyer M. From emotion resonance to empathic understanding: A social developmental neuroscience account. Dev Psychopathol. 2008. September 7;20(04):1053.
    1. Singer T, Klimecki OM. Empathy and compassion. Curr Biol. 2014;24 (18):875–878.
    1. Bianchin M, Angrilli A. Gender differences in emotional responses: A psychophysiological study. Physiol Behav. 2012;105(4):925–32. 10.1016/j.physbeh.2011.10.031
    1. Bradley MM, Codispoti M, Cuthbert BN, Lang PJ. Emotion and motivation I: defensive and appetitive reactions in picture processing. Emotion. 2001. September;1(3):276–98.
    1. Codispoti M, Surcinelli P, Baldaro B. Watching emotional movies: Affective reactions and gender differences. Int J Psychophysiol. 2008;69(2):90–5. 10.1016/j.ijpsycho.2008.03.004
    1. Herbert BM, Pollatos O, Schandry R. Interoceptive sensitivity and emotion processing: An EEG study. Int J Psychophysiol. 2007;65(3):214–27.
    1. Karama S, Armony J, Beauregard M. Film excerpts shown to specifically elicit various affects lead to overlapping activation foci in a large set of symmetrical brain regions in males. PLoS One. 2011;6(7).
    1. Stevens JS, Hamann S. Sex differences in brain activation to emotional stimuli: A meta-analysis of neuroimaging studies. Neuropsychologia. 2012;50(7):1578–93. 10.1016/j.neuropsychologia.2012.03.011
    1. Wierzba M, Riegel M, Pucz A, Leśniewska Z, Dragan WŁ, Gola M, et al. Erotic subset for the Nencki Affective Picture System (NAPS ERO): cross-sexual comparison study. Front Psychol. 2015;6:1336 10.3389/fpsyg.2015.01336
    1. Hartig T, Evans GW, Jamner LD, Davis DS, Gärling T. Tracking restoration in natural and urban field settings. J Environ Psychol. 2003;23(2):109–23.
    1. Johnsen SÅK, Rydstedt LW, Rydstedt LW. Active Use of the Natural Environment for Emotion Regulation. Eur J Psychol. 2013. November 29;9(4):798–819.
    1. Kaplan S. The restorative benefits of nature: Toward an integrative framework. J Environ Psychol. 1995. September;15(3):169–82.
    1. Ulrich RS, Simons RF, Losito BD, Fiorito E, Miles MA, Zelson M. Stress recovery during exposure to natural and urban environments. J Environ Psychol. 1991. September;11(3):201–30.
    1. van den Berg AE, Koole SL, van der Wulp NY. Environmental preference and restoration: (How) are they related? J Environ Psychol. 2003;23(2):135–46.
    1. Costa M, Dinsbach W, Manstead ASR, Ricci Bitti PE. Social presence, embarrassment, and nonverbal behavior. J Nonverbal Behav. 2001;25(4):225–40.
    1. Maffei A, Vencato V, Angrilli A. Sex differences in emotional evaluation of film clips: Interaction with five high arousal emotional categories. PLoS One. 2015;10(12).
    1. Bradley MM, Lang PJ. Measuring emotion: The self-assessment manikin and the semantic differential. J Behav Ther Exp Psychiatry. 1994;25(1):49–59.
    1. Welch BL. The generalization of `Student’s’ problem when several different population variances are involved. Biometrika. 1947;34(1/2):28–35.
    1. Lang PJ, Greenwald MK, Bradley MM, Hamm AO. Looking at pictures: affective, facial, visceral, and behavioral reactions. Psychophysiology. 1993;30(3):261–73. 10.1111/j.1469-8986.1993.tb03352.x
    1. Beute F, de Kort YAW. Salutogenic effects of the environment: Review of health protective effects of nature and daylight. Appl Psychol Heal Well-Being. 2014;6(1):67–95.
    1. Cisler JM, Olatunji BO, Lohr JM, Williams NL. Attentional bias differences between fear and disgust: Implications for the role of disgust in disgust-related anxiety disorders. Cogn Emot. 2009. June;23(4):675–87. 10.1080/02699930802051599
    1. Goetz J, Keltner D, Simon-Thomas E. Compassion: an evolutionary analysis and empirical review. Psychol Bull. 2010;136(3):351–74. 10.1037/a0018807
    1. Menninghaus W, Wagner V, Hanich J, Wassiliwizky E, Kuehnast M, Jacobsen T. Towards a psychological construct of being moved. PLoS One. 2015. January 4;10(6):e0128451 10.1371/journal.pone.0128451
    1. Bradley MM, Codispoti M, Sabatinelli D, Lang PJ. Emotion and motivation II: sex differences in picture processing. Emotion. 2001;1(3):300–19.
    1. Maffei A, Angrilli A. Spontaneous blink rate as an index of attention and emotion during film clips viewing. Physiol Behav. 2019;204(February):256–63. 10.1016/j.physbeh.2019.02.037

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