Estimating Ego States: The Machine Learning Perspective

• Jacek Szedel

  Politechnika Śląska w Gliwicach

• Bożena Wieczorek

  Politechnika Śląska w Gliwicach

The interface between Artificial Intelligence (AI), machine learning (ML) and psychology is an intensively explored research area. Specifically, Transactional Analysis (TA), with its structured and precise language, presents a promising area for applying ML techniques, unveiling new potential research avenues. This article explores the intersection of artificial intelligence, machine learning, and psychology, focusing on developing a method and the software environment for estimating ego states using MS Kinect™ sensor data. The research investigates the application of TA theory, emphasizing capturing the behavioural ego indicators. While Kinect skeletal data is considered, the gestures and postures are the primary input. The Authors present an innovative approach to annotate and visualize Kinect data using video streams for further autonomous ego state estimation. Within this study, they collected a dataset of 15 students from The Silesian University of Technology. The data was acquired through the use of both a video camera and a Kinect sensor. The nine distinct labels were employed for data annotation. They reflect Parent, Adult, and Child ego states across different temporal dimensions encompassing the past, present, and future. The study includes preliminary results demonstrating the outcomes of this approach's visualization technique and their interpretation. The final part of the article discusses the potential of applying the presented method in applications for the education field.

Alon, D., Jeongwoo K. (2021), GoEmotions: A Dataset for Fine-Grained Emotion Classifica-tion., Software Engineers, Google Research.

Bainbridge, W. S. (2013). Personality capture and emulation. Springer Science & Business Media. http://dx.doi.org/10.1007/978-1-4471-5604-8

Berne's family members (2022). Transactional analysis. Retrieved from https://ericberne.com/transactional-analysis/ (12.2023).

Dibeklioğlu, H., Salah, A. A., & Gevers, T. (2012). Are you really smiling at me? spontaneous versus posed enjoyment smiles. In Computer Vision–ECCV 2012: 12th European Confer-ence on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III 12 (pp. 525-538). Springer Berlin Heidelberg. http://dx.doi.org/10.1007/978-3-642-33712-3_38

Ekman, P. (1984). Expression and the nature of emotion. Approaches to emotion, 3(19), 344.

Enock, K. (2006), Leigh-Hunt, N. (2016). Behaviour change in individuals and organisations. Retrieved from http://www.healthknowledge.org.uk/public-health-textbook/organisation-management/5a-understanding-itd/transactional-analysis (12.2023).

Fujita, H., Sawai, N., Hakura, J., & Kurematsu, M. (2009, February). An action decision model for emotions based on transactional analysis. In Proceedings of the 8th WSEAS interna-tional conference on Artificial intelligence, knowledge engineering and data bases (pp. 79-88).

Harsh B. (2021). Diagnosis of ego states. Institute for Counselling Transactional analysis, Pu-ne Mumbai Chapter. Retrieved from https://ictapunemumbai.org/diagnosis-of-ego-states (12.2023).

Lowen, A. (1971). The language of the body. New York: Collier Books.

Minamikawa, A., & Yokoyama, H. (2011). Personality estimation based on weblog text classi-fication. In Modern Approaches in Applied Intelligence: 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Syracuse, NY, USA, June 28–July 1, 2011, Proceedings, Part II 24 (pp. 89-97). Springer Berlin Heidelberg. http://dx.doi.org/10.1007/978-3-642-21827-9_10

Minamikawa, A., & Yokoyama, H. (2011, March). Blog tells what kind of personality you have: egogram estimation from Japanese weblog. In Proceedings of the ACM 2011 conference on Computer supported cooperative work (pp. 217-220). http://dx.doi.org/10.1145/

1958856

Nurzyńska, K., & Smolka, B. (2017). Spontaneous Smile Detection with Application of Land-mark Points Supported by Visual Indications. In CS & IT Conference Proceedings (Vol. 7, No. 1). CS & IT Conference Proceedings. http://dx.doi.org/10.5121/csit.2017.70118

Pankowska, D. (2010). Nauczyciel w perspektywie analizy transakcyjnej. Wydawnictwo Uni-wersytetu Marii Curie-Skłodowskiej.

Ricks, B. C., & Egbert, P. K. (2012). More realistic, flexible, and expressive social crowds us-ing transactional analysis. The Visual Computer, 28, 889-898.

Stewart, I., Joines, V.(2016). Analiza transakcyjna dzisiaj. Rebis.

TEG Research Group – the University Tokyo Medical School. (2000). TEG: Tokyo University Egogram (New Ver.). Kaneko Shobou.

Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine learning, 20, 273-297.

Vartanov, A. V., Izbasarova, S. A., Neroznikova, Y. M., Artamonov, I. M., Artamonova, Y. N., & Vartanov, I. I. (2023). The effect of psychological mirroring in telecommunicative dia-logue. Cognitive Systems Research, 80, 110-117. http://dx.doi.org/10.1016/

j.cogsys.2023.02.008

Wieczorek, Z. (2017). Język zmiany w analizie transakcyjnej. In Edukacyjna Analiza Transak-cyjna, 6, 145–156.

Yamaoka, A. T., & Yoshida, M. (2007). Basic consideration for various interfaces from view-point of service. In Universal Access in Human-Computer Interaction. Applications and Services: 4th International Conference on Universal Access in Human-Computer Inter-action, UAHCI 2007 Held as Part of HCI International 2007 Beijing, China, July 22-27, 2007 Proceedings, Part III 4 (pp. 990-996). Springer Berlin Heidelberg. http://dx.doi.org/

1007/978-3-540-73283-9_107

Zhao X., Tao M., Chen Y., Yin B., Markopoulos P. (2023) Tailoring Persuasive Health Messag-es to the Predominant Ego State of Patients. In Lecture Notes in Computer Science (in-cluding subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioin-formatics), 13832 LNCS, pp. 234 – 247. http://dx.doi.org/10.1007/978-3-031-30933-5_15

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