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Balancing Objectives in Counseling Conversations: Advancing Forwards or Looking Backwards

arXiv 2005.04245 ↗First posted 8 May 2020cs.CLcited by 18

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Abstract (arXiv)

Throughout a conversation, participants make choices that can orient the flow of the interaction. Such choices are particularly salient in the consequential domain of crisis counseling, where a difficulty for counselors is balancing between two key objectives: advancing the conversation towards a resolution, and empathetically addressing the crisis situation. In this work, we develop an unsupervised methodology to quantify how counselors manage this balance. Our main intuition is that if an utterance can only receive a narrow range of appropriate replies, then its likely aim is to advance the conversation forwards, towards a target within that range. Likewise, an utterance that can only appropriately follow a narrow range of possible utterances is likely aimed backwards at addressing a specific situation within that range. By applying this intuition, we can map each utterance to a continuous orientation axis that captures the degree to which it is intended to direct the flow of the conversation forwards or backwards. This unsupervised method allows us to characterize counselor behaviors in a large dataset of crisis counseling conversations, where we show that known counseling strategies intuitively align with this axis. We also illustrate how our measure can be indicative of a conversation's progress, as well as its effectiveness.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 May 2020.

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Citing papers per year: 2021: 4; 2022: 6; 2023: 3; 2024: 3; 2025: 2.

18 papers.

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  1. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  2. 2023Cognitive Reframing of Negative Thoughts through Human-Language Model Interactioncited by 77
  3. 2021Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approachcited by 75
  4. 2021Measuring Conversational Uptake: A Case Study on Student-Teacher Interactionscited by 44
  5. 2023Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversationscited by 41
  6. 2022Gendered Mental Health Stigma in Masked Language Modelscited by 17
  7. 2022Computationally Identifying Funneling and Focusing Questions in Classroom Discoursecited by 15
  8. 2024IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interactioncited by 12
  9. 2022Seamlessly Integrating Factual Information and Social Content with Persuasive Dialoguecited by 11
  10. 2025Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectivescited by 10
  11. 2023Understanding Client Reactions in Online Mental Health Counselingcited by 9
  12. 2024Taking a turn for the better: Conversation redirection throughout the course of mental-health therapycited by 5
6 more
  1. 2022A Critical Reflection and Forward Perspective on Empathy and Natural Language Processingcited by 4
  2. 2022Towards Automated Real-time Evaluation in Text-based Counselingcited by 3
  3. 2021Unsupervised Contextualized Document Representationcited by 1
  4. 2022Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitationcited by 1
  5. 2024Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Modelscited by 1
  6. 2025ChatWise: A Strategy-Guided Chatbot for Enhancing Cognitive Support in Older Adultscited by 0