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Assessing Affective Dimensions of Play in Psychodynamic Child Psychotherapy via Text Analysis

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 9997)

Abstract

Assessment of emotional expressions of young children during clinical work is an important, yet arduous task. Especially in natural play scenarios, there are not many constraints on the behavior of the children, and the expression palette is rich. There are many approaches developed for the automatic analysis of affect, particularly from facial expressions, paralinguistic features of the voice, as well as from the myriads of non-verbal signals emitted during interactions. In this work, we describe a tool that analyzes verbal interactions of children during play therapy. Our approach uses natural language processing techniques and tailors a generic affect analysis framework to the psychotherapy domain, automatically annotating spoken sentences on valence and arousal dimensions. We work with Turkish texts, for which there are far less natural language processing resources than English, and our approach illustrates how to rapidly develop such a system for non-English languages. We evaluate our approach with longitudinal psychotherapy data, collected and annotated over a one year period, and show that our system produces good results in line with professional clinicians’ assessments.

Keywords

Play therapy Affect analysis Psychotheraphy Natural Language Processing Turkish language Valence Arousal 

Notes

Acknowledgments

This study is partially supported by the Scientific and Technological Research Council of Turkey (TUBITAK) grants 114E481 and 215K180.

References

  1. 1.
    Achenbach, T.M.: Manual for the Child Behavior Checklist/4-18 and 1991 profile. Department of Psychiatry, University of Vermont Burlington, VT (1991)Google Scholar
  2. 2.
    Anderson, D.: Hierarchical linear modeling (HLM): an introduction to key concepts within cross-sectional and growth modelling frameworks. Behavioral Research and Teaching, Oregon (2012)Google Scholar
  3. 3.
    Anderson, T., Bein, E., Pinnell, B., Strupp, H.: Linguistic analysis of affective speech in psychotherapy: a case grammar approach. Psychother. Res. 9(1), 88–99 (1999)CrossRefGoogle Scholar
  4. 4.
    Aydın Oktay, E., Balcı, K., Salah, A.A.: Automatic assessment of dimensional affective content in Turkish multi-party chat messages. In: Proceedings of the International Workshop on Emotion Representations and Modelling for Companion Technologies, pp. 19–24. ACM (2015)Google Scholar
  5. 5.
    Barnett, L.A., Storm, B.: Play, pleasure, and pain: the reduction of anxiety through play. Leis. Sci. 4(2), 161–175 (1981)CrossRefGoogle Scholar
  6. 6.
    Bradley, M.M., Lang, P.J.: Affective norms for English words (ANEW): instruction manual and affective ratings. Technical report, C-1, The Center for Research in Psychophysiology, Univ. of Florida (1999)Google Scholar
  7. 7.
    Bratton, S.C., Ray, D., Rhine, T., Jones, L.: The efficacy of play therapy with children: a meta-analytic review of treatment outcomes. Prof. Psychol. Res. Pract. 36(4), 376 (2005)CrossRefGoogle Scholar
  8. 8.
    Brooks, M., Kuksenok, K., Torkildson, M.K., Perry, D., Robinson, J.J.,Scott, T.J., Anicello, O., Zukowski, A., Harris, P., Aragon, C.R.: Statistical affect detection in collaborative chat. In: Proceedings of CSCW, pp. 317–328. ACM (2013)Google Scholar
  9. 9.
    Bucci, W., Maskit, B.: Beneath the surface of the therapeutic interaction: the psychoanalytic method in modern dress. J. Am. Psychoanal. Assoc. 55(4), 1355–1397 (2007)CrossRefGoogle Scholar
  10. 10.
    Bucci, W., Maskit, B., Murphy, S.: Connecting emotions, words: the referential process. Phenomenol. Cogn. Sci. 15, 1–25 (2015)Google Scholar
  11. 11.
    Butcher, J.L., Niec, L.N.: Disruptive behaviors and creativity in childhood: the importance of affect regulation. Creativity Res. J. 17(2–3), 181–193 (2005)CrossRefGoogle Scholar
  12. 12.
    Calvo, R.A., Mac Kim, S.: Emotions in text: dimensional and categorical models. Comput. Intell. 29(3), 527–543 (2013)MathSciNetCrossRefGoogle Scholar
  13. 13.
    Cambria, E., Schuller, B., Xia, Y., Havasi, C.: New avenues in opinion mining and sentiment analysis. IEEE Intell. Syst. 28(2), 15–21 (2013)CrossRefGoogle Scholar
  14. 14.
    Casey, R.J.: Emotional competence in children with externalizing and internalizing disorders. Emotional Development in a Typical Children, pp. 161–183 (1996)Google Scholar
  15. 15.
    Chazan, S.: Profiles of Play: Assessing and Observing Structure and Process in Play Therapy. Jessica Kingsley Publishers, London (2002)Google Scholar
  16. 16.
    Chethik, M.: Techniques of Child Therapy: Psychodynamic Strategies. Guilford Press, New York (2003)Google Scholar
  17. 17.
    D’Angelo, L.: Child’s play: the relationship between the use of play and adjustment styles. Unpublished Doctoral Dissertation (1995)Google Scholar
  18. 18.
    Dehkharghani, R., Saygin, Y., Yanikoglu, B., Oflazer, K.: SentiTurkNet: a Turkish polarity lexicon for sentiment analysis. Lang. Resour. Eval. 50, 1–19 (2015)Google Scholar
  19. 19.
    Dunn, J., Hughes, C.: I got some swords and you’re dead! Violent fantasy, antisocial behavior, friendship, and moral sensibility in young children. Child Dev. 72(2), 491–505 (2001)CrossRefGoogle Scholar
  20. 20.
    Eisenberg, N., Cumberland, A., Spinrad, T.L., Fabes, R.A., Shepard, S.A., Reiser, M., Murphy, B.C., Losoya, S.H., Guthrie, I.K.: The relations of regulation and emotionality to children’s externalizing and internalizing problem behavior. Child Dev. 72(4), 1112–1134 (2001)CrossRefGoogle Scholar
  21. 21.
    Erol, N., Arslan, B., Akçakın, M.: The adaptation, standardization of the child behavior checklist among 6–18 year-old Turkish children. Eunethdis: European Approaches to Hyperkinetic Disorder, pp. 97–113 (1995)Google Scholar
  22. 22.
    Erol, N., Şimşek, Z.T.: Mental health of Turkish children: behavioral and emotional problems reported by parents, teachers, and adolescents. Int. Perspect. Child Adolesc. Ment. Health 1, 223–247 (2000)CrossRefGoogle Scholar
  23. 23.
    Fein, G.G.: Pretend play: creativity and consciousness. In: Gorlitz, P., Wohlwill, J. (eds.) Curiosity, Imagination, and Play, pp. 281–304. Lawrence Erlbaum Associates, Hillsdale (1987)Google Scholar
  24. 24.
    Findling, J.H., Bratton, S.C., Henson, R.K.: Development of the trauma play scale: an observation-based assessment of the impact of trauma on play therapy behaviors of young children. Int. J. Play Ther. 15(1), 7 (2006)CrossRefGoogle Scholar
  25. 25.
    Fonagy, P., Target, M.: The place of psychodynamic theory in developmental psychopathology. Dev. Psychopathol. 12(03), 407–425 (2000)CrossRefGoogle Scholar
  26. 26.
    Gaensbauer, T.J., Siegel, C.H.: Therapeutic approaches to posttraumatic stress disorder in infants and toddlers. Infant Ment. Health J. 16(4), 292–305 (1995)CrossRefGoogle Scholar
  27. 27.
    Hancock, J.T., Landrigan, C., Silver, C.: Expressing emotion in text-based communication. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 929–932. ACM (2007)Google Scholar
  28. 28.
    Howe, P.A., Silvern, L.E.: Behavioral observation of children during play therapy: preliminary development of a research instrument. J. Pers. Assess. 45(2), 168–182 (1981)CrossRefGoogle Scholar
  29. 29.
    Hutto, C.J., Gilbert, E.: Vader: a parsimonious rule-based model for sentiment analysis of social media text. In: Eighth International AAAI Conference on Weblogs and Social Media (2014)Google Scholar
  30. 30.
    Kahn, J.H., Tobin, R.M., Massey, A.E., Anderson, J.A.: Measuring emotional expression with the linguistic inquiry and word count. Am. J. Psychol. 120, 263–286 (2007)Google Scholar
  31. 31.
    Kernberg, P., Chazan, S., Normandin, L.: The children’s play therapy instrument (CPTI): description, development, and reliability studies. J. Psychother. Pract. Res. 7(3), 196–207 (1997)Google Scholar
  32. 32.
    Le, Q.V., Mikolov, T.: Distributed representations of sentences and documents. ICML 14, 1188–1196 (2014)Google Scholar
  33. 33.
    Liu, H., Lieberman, H., Selker, T.: A model of textual affect sensing using real-world knowledge. In: Proceedings of IUI, pp. 125–132. ACM (2003)Google Scholar
  34. 34.
    Magnini, B., Cavaglia, G.: Integrating subject field codes into WordNet. In: LREC (2000)Google Scholar
  35. 35.
    Marcelo, A.K., Yates, T.M.: Prospective relations among preschoolers’ play, coping, and adjustment as moderated by stressful events. J. Appl. Dev. Psychol. 35(3), 223–233 (2014)CrossRefGoogle Scholar
  36. 36.
    Mergenthaler, E.: Textbank Systems: Computer Science Applied in the Field of Psychoanalysis. Springer Science and Business Media, Berlin (1985)CrossRefGoogle Scholar
  37. 37.
    Mergenthaler, E.: Computer-assisted content analysis. Nachtrichten Spezial, pp. 3–32 (1996)Google Scholar
  38. 38.
    Mergenthaler, E.: Emotion-abstraction patterns in verbatim protocols: a new way of describing psychotherapeutic processes. J. Consult. Clin. Psychol. 64(6), 1306–1315 (1996)CrossRefGoogle Scholar
  39. 39.
    Mergenthaler, E.: Cycles of emotion-abstraction patterns: a way of practice oriented process research? Br. Psychol. Soc. Psychother. Sect. Newsl. 24, 16–29 (1998)Google Scholar
  40. 40.
    Mesnil, G., Mikolov, T., Ranzato, M., Bengio, Y.: Ensemble of generative and discriminative techniques for sentiment analysis of movie reviews. In: ICLR (2014)Google Scholar
  41. 41.
    Milos, M.E., Reiss, S.: Effects of three play conditions on separation anxiety in young children. J. Consult. Clin. Psychol. 50(3), 389 (1982)CrossRefGoogle Scholar
  42. 42.
    Mohammad, S.M.: Sentiment analysis: detecting valence, emotions, and other affectual states from text. Emotion Measurement (2016)Google Scholar
  43. 43.
    Neviarouskaya, A., Prendinger, H., Ishizuka, M.: Affect analysis model: novel rule-based approach to affect sensing from text. Nat. Lang. Eng. 17(01), 95–135 (2011)CrossRefGoogle Scholar
  44. 44.
    Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends Inf. Retrieval 2(1–2), 1–135 (2008)CrossRefGoogle Scholar
  45. 45.
    Pennebaker, J.W., Chung, C.K.: Expressive writing, emotional upheavals, and health. Foundtions of Health Psychology, pp. 263–284 (2007)Google Scholar
  46. 46.
    Pennebaker, J.W., Mehl, M.R., Niederhoffer, K.G.: Psychological aspects of natural language use: our words, our selves. Ann. Rev. Psychol. 54(1), 547–577 (2003)CrossRefGoogle Scholar
  47. 47.
    Phillips, R.D.: Whistling in the dark? A review of play therapy research. Psychother. Theor. Res. Pract. Train. 22(4), 752 (1985)CrossRefGoogle Scholar
  48. 48.
    Plutchik, R.: Emotions in the practice of psychotherapy: clinical implications of affect theories. American Psychological Association, Washington, D.C (2000)CrossRefGoogle Scholar
  49. 49.
    Posner, J., Russell, J.A., Peterson, B.S.: The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Dev. Psychopathol. 17(3), 715–734 (2005)CrossRefGoogle Scholar
  50. 50.
    Raudenbush, S., Bryk, A., Seltzer, M., Congden, R.: An Introduction to HLM: Computer Program and User’s Guide. Department of Education, University of Chicago, Chicago (1986)Google Scholar
  51. 51.
    Russ S., Cooperberg, M.: Play as a predictor of creativity, coping and depression in adolescence. Manuscript Submitted for Publication (2002)Google Scholar
  52. 52.
    Russ, S.W.: Affect and Creativity: The Role of Affect and Play in the Creative Process. Psychology Press, Hove (1993)Google Scholar
  53. 53.
    Russ, S.W.: Play in Child Development, Psychotherapy: Toward Empirically Supported Practice. Routledge, London (2003)Google Scholar
  54. 54.
    Russ, S.W., Niec, L.N.: Play in Clinical Practice: Evidence-Based Approaches. Guilford Press, New York (2011)Google Scholar
  55. 55.
    Russell, J.A.: Culture and the categorization of emotions. Psychol. Bull. 110(3), 426 (1991)CrossRefGoogle Scholar
  56. 56.
    Schachter, S., Singer, J.: Cognitive, social, and physiological determinants of emotional state. Psychol. Rev. 69(5), 379–399 (1962)CrossRefGoogle Scholar
  57. 57.
    Scott, T.J.L., Short, E.J., Singer, L.T., Russ, S.W., Minnes, S.: Psychometric properties of the dominic interactive assessment a computerized self-report for children. Assessment 13(1), 16–26 (2006)CrossRefGoogle Scholar
  58. 58.
    Shirk, S.R., Russell, R.L.: Change Processes in Child Psychotherapy: Revitalizing Treatment and Research. Guilford Press, New York (1996)Google Scholar
  59. 59.
    Singer, D.G., Singer, J.L.: The House of make-believe: Children’s Play and the Developing Imagination. Harvard University Press, Cambridge (1990)Google Scholar
  60. 60.
    Singer, J.D., Willett, J.B.: Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press, Oxford (2003)CrossRefGoogle Scholar
  61. 61.
    Singer, J.L.: Imaginative play in childhood: precursor of subjunctive thoughts, daydreaming, and adult pretending games. The Future of Play Theory, pp. 187–219 (1995)Google Scholar
  62. 62.
    Strapparava, C., Valitutti, A.: WordNet affect: an affective extension of WordNet. LREC 4, 1083–1086 (2004)Google Scholar
  63. 63.
    Von Klitzing, K., Kelsay, K., Emde, R.N., Robinson, J., Schmitz, S.: Gender-specific characteristics of 5-year-olds’ play narratives and associations with behavior ratings. J. Am. Acad. Child Adolesc. Psychiatry 39(8), 1017–1023 (2000)CrossRefGoogle Scholar
  64. 64.
    Warriner, A.B., Kuperman, V., Brysbaert, M.: Norms of valence, arousal, and dominance for 13,915 English lemmas. Behav. Res. Methods 45(4), 1191–1207 (2013)CrossRefGoogle Scholar
  65. 65.
    You, Q., Luo, J., Jin, H., Yang, J.: Joint visual-textual sentiment analysis with deep neural networks. In: Proceedings of the 23rd ACM International Conference on Multimedia, MM 2015, New York, pp. 1071–1074. ACM (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Department of PsychologyBilgi UniversityIstanbulTurkey
  2. 2.Department of Computer EngineeringBoğaziçi UniversityIstanbulTurkey

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