Papers by Adam Miner

3 papers
Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction (2023.acl-long)

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Challenge: Psychotherapy can help people overcome negative thoughts by replacing them with a more hopeful "reframed thought" but clinician shortages and mental health stigma often limit access to therapy.
Approach: They propose a framework of seven linguistic attributes that can be used to reframe a thought . they use a retrieval-enhanced in-context learning model to generate reframed thoughts .
Outcome: The proposed model is based on a human-centered study of 600 situations, thoughts and reframes on 2,000 mental health websites.
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support (2020.emnlp-main)

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Challenge: Empathy measurement has predominantly occurred in synchronous, face-to-face settings, and may not translate to asynchronous, text-based contexts.
Approach: They propose a computational approach to understanding how empathy is expressed in online mental health platforms.
Outcome: The proposed model can identify empathic conversations and extract rationales from them.
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction (2024.acl-long)

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Challenge: Various communication frameworks assist individuals in conducting difficult conversations by providing a set of skills to apply.
Approach: They propose a language-based simulation system that provides just-in-time feedback to support the practice and learning of interpersonal effectiveness skills.
Outcome: The proposed training system improves self-efficacy and reduces negative emotions by 27% compared to the GPT-4 training system.

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