Hanging in the Balance: Pivotal Moments in Crisis Counseling Conversations
Not on the map. Why?
Abstract (arXiv)
During a conversation, there can come certain moments where its outcome hangs in the balance. In these pivotal moments, how one responds can put the conversation on substantially different trajectories leading to significantly different outcomes. Systems that can detect when such moments arise could assist conversationalists in domains with highly consequential outcomes, such as mental health crisis counseling. In this work, we introduce an unsupervised computational method for detecting such pivotal moments as they happen, in an online fashion. Our approach relies on the intuition that a moment is pivotal if our expectation of the outcome varies widely depending on what might be said next. By applying our method to crisis counseling conversations, we first validate it by showing that it aligns with human perception -- counselors take significantly longer to respond during moments detected by our method -- and with the eventual conversational trajectory -- which is more likely to change course at these times. We then use our framework to explore the relation of the counselor's response during pivotal moments with the eventual outcome of the session.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 10 of its 31 references that are in the map. First posted on arXiv 4 Jun 2025.
Builds on
10 of 31 references.
References · 10
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
- 2020A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Supportcited by 182
- 2019Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Developcited by 41
- 2019Movie Plot Analysis via Turning Point Identificationcited by 34
- 2023Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedbackcited by 23
- 2021Dynamic Forecasting of Conversation Derailmentcited by 16
- 2022Computationally Identifying Funneling and Focusing Questions in Classroom Discoursecited by 15
- 2022Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussionscited by 11
- 2024Taking a turn for the better: Conversation redirection throughout the course of mental-health therapycited by 5
- 2024Branching Narratives: Character Decision Points Detectioncited by 1
Built on by
Citing papers per year: 2026: 4.
4 papers.
- 2026CALM-IT: Enhancing Synthetic Motivational Interviewing Dialogue Quality with Conversational Dynamicscited by 3
- 2026Responsible Evaluation of AI for Mental Healthcited by 2
- 2026Wait! There's a Way Out: A Decision Mechanism for Forecasting Conversational Derailmentcited by 0
- 2026Adapting from Downturns: Prediction of Long-Term Conversational-Skill Development in Mental-Health Crisis Counselorscited by 0
- 2026Adapting from Downturns: Prediction of Long-Term Conversational-Skill Development in Mental-Health Crisis Counselors3 Sep 2026
- 2026Wait! There's a Way Out: A Decision Mechanism for Forecasting Conversational Derailment28 May 2026
- 2026Responsible Evaluation of AI for Mental Health20 Jan 2026
- 2026CALM-IT: Enhancing Synthetic Motivational Interviewing Dialogue Quality with Conversational Dynamics15 Jan 2026