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    Decoding Emotional Dynamics: A Comparative Analysis of Contextual and Non-Contextual Models in Sentiment Analysis of Turkish Couple Dialogues
    (Ieee-Inst Electrical Electronics Engineers Inc, 2024) Polat, Esma Nafiye; Demiroglu, Cenk; Yildiz, Olcay Taner; Kafescioglu, Nilufer
    This paper introduces the Couple Dialogue dataset, specifically curated for conversational sentiment analysis in the Turkish language. It comprises 14,294 utterances from 118 dyadic conversations between couples, each annotated to capture sentiment transitions and interpersonal dynamics. Our study contrasts two distinct modeling frameworks-the Non-Contextual Model and the Contextual Model. The Non-Contextual Model analyzes utterances independently, typically overlooking the nuances of conversational dynamics and sentiment evolution. Within this framework, we conducted a detailed morphological analysis due to the agglutinative nature and rich morphological structure of the Turkish language, which included various word forms and negation morphemes crucial for sentiment representation. In contrast, the Contextual Model employs state-of-the-art Large Language Models (LLMs) such as BERT, GPT-3.5 Turbo, Llama 2, and GPT-4, alongside architectures like DialogueRNN. This model processes the sequential and relational aspects of dialogues through three approaches: prompt-based, fine-tuned, and embedding-based methods, particularly enhanced with fine-tuning and advanced embedding techniques (utilizing pre-trained and fine-tuned Turkish BERT). The Contextual Model substantially outperforms the Non-Contextual Model, showing a 9.98% improvement in Weighted F1 scores validated by statistical tests. Our work not only pioneers the use of LLMs in Turkish conversational sentiment analysis but also underscores the critical importance of contextual understanding in capturing complex emotional cues in couple interactions. This study sets a robust benchmark for future explorations into sentiment analysis within linguistically rich contexts.
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    Dynamic harmony: Unveiling therapeutic attunement in emotionally focused couples therapy via machine learning
    (Wiley, 2025) Baser, Gokcenay; Baser, Oguzhan; Kafescioglu, Nilufer; Erdem, Gizem
    ObjectiveThe goals of the study were to examine therapists' and clients' emotional states and expressions in an emotionally focused therapy (EFT) couple session, to assess therapeutic attunement between the clients and the therapist, and to explore its alignment with EFT techniques.BackgroundTherapeutic attunement is crucial for fostering a therapeutic alliance in couples therapy, yet examining triadic relationships between therapist and partners is methodologically challenging. This case study introduces a novel computational social science approach to capture attunement in an EFT session.MethodA full-length, publicly available EFT session video was analyzed. We generated text, audio, and image data for computerized tracking and conducted a multimodal analysis of emotions using mixture of experts machine learning models.ResultsSeven emotion states were analyzed: anger, fear, surprise, disgust, joy, sadness, and neutral. The results indicated a close alignment between the couple and the therapist's emotions, suggesting high attunement. Three types of attunement by timing were identified: on time, therapist initiated, and delayed. Attunement peaks aligned with EFT techniques.ConclusionHigh levels of therapeutic attunement, facilitated by EFT techniques, can be effectively captured and analyzed using machine learning.ImplicationsThis study highlights the feasibility of using machine learning to track attunement dynamics and aids therapists in exploring therapeutic ruptures.
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    Emotion regulation in emotionally focused therapists working with high-conflict couples
    (Wiley, 2024) Yildizhan, Cemile; Kafescioglu, Nilufer; Zeytinoglu-Saydam, Senem; Erdem, Gizem; Soylemez, Yudum; Yumbul, Cigdem
    Guided by the Person-of-the Therapist Training (POTT) Model, the current qualitative study explores emotional experiences and emotion regulation strategies of emotionally focused trained therapists who work with high-conflict couples in Turkey. Twenty-one therapists who completed at least the externship in emotionally focused couple therapy (EFCT) and had prior or current clinical experience working with high-conflict couple(s) were recruited through various social media platforms and professional organizations' listservs. Semistructured individual interviews were conducted, audio-recorded, and transcribed verbatim. Thematic analysis of the qualitative data revealed five main themes: (1) Different Compelling Emotional Experiences of the Therapists, (2) Sun After Storm, (3) Triggers of Therapists' Emotions, (4) Perceived Adaptive Emotion Regulation Strategies, and (5) Positive Impact of the Therapist's Regulation Strategies on the Therapy Process. Overall, the findings supported the three phases of the POTT model: namely, knowledge of self, access to self, and use of self. Our study demonstrates the need for integrating self-of-the-therapist work into the clinical practice, training, and supervision of therapists working with distressed couples.
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    Romantic Relationship Experiences and Emotion Regulation Strategies of Regular Mindfulness Meditation Practitioners: A Qualitative Study
    (Wiley, 2021) Erkan, Itir; Kafescioglu, Nilufer; Cavdar, Alev; Zeytinoglu-Saydam, Senem
    Using attachment theory as the framework, this qualitative study focused on the romantic relationship experiences of regular mindfulness meditators and their meditation-naive or nonregularly meditating partners (NMPs). The sample consisted of eight heterosexual and two same-sex couples. Thematic analysis (TA) yielded seven themes on three levels. Three intrapersonal themes were (a) meta-awareness of one's emotional strategies; (b) shift in emotion regulation strategies; and (c) shift in relationship with oneself. The relationship-level themes of meditators emerged as (d) experiential shift in stressful situations; (e) transformation of the emotional bond; and (f) transformation of the romantic relationship; the nonmeditating partners confirmed the relational and individual shifts due to their partner's practice. Integrating attachment theory with meditation practice can thus be a valuable approach for couple and family therapy. A regular meditation practice of even just one of the partners may be beneficial for the couple relationship.