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        <title>Crisis counselor language and perceived genuine concern in crisis conversations</title>
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    <name type="personal">
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        <namePart type="given">Elizabeth</namePart>
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    <abstract>Although clients’ perceptions of therapist empathy are known to correlate with therapy effectiveness, the specific ways that the therapist’s language use contributes to perceived empathy remain less understood. Natural Language Processing techniques, such as transformer models, permit the quantitative, automated, and scalable analysis of therapists’ verbal behaviors. Here, we present a novel approach to extract linguistic features from text-based crisis intervention transcripts to analyze associations between specific crisis counselor verbal behaviors and perceived genuine concern. Linguistic features associated with higher perceived genuine concern included positive emotional language and affirmations; features associated with lower perceived genuine concern included self-oriented talk and overuse of templates. These findings provide preliminary evidence toward pathways for automating real-time feedback to crisis counselors about clients’ perception of the therapeutic relationship.</abstract>
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%0 Conference Proceedings
%T Crisis counselor language and perceived genuine concern in crisis conversations
%A Buda, Greg
%A Tripodi, Ignacio
%A Meagher, Margaret
%A Olson, Elizabeth
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F buda-etal-2024-crisis
%X Although clients’ perceptions of therapist empathy are known to correlate with therapy effectiveness, the specific ways that the therapist’s language use contributes to perceived empathy remain less understood. Natural Language Processing techniques, such as transformer models, permit the quantitative, automated, and scalable analysis of therapists’ verbal behaviors. Here, we present a novel approach to extract linguistic features from text-based crisis intervention transcripts to analyze associations between specific crisis counselor verbal behaviors and perceived genuine concern. Linguistic features associated with higher perceived genuine concern included positive emotional language and affirmations; features associated with lower perceived genuine concern included self-oriented talk and overuse of templates. These findings provide preliminary evidence toward pathways for automating real-time feedback to crisis counselors about clients’ perception of the therapeutic relationship.
%U https://aclanthology.org/2024.findings-emnlp.418
%P 7149-7160

Markdown (Informal)

[Crisis counselor language and perceived genuine concern in crisis conversations](https://aclanthology.org/2024.findings-emnlp.418) (Buda et al., Findings 2024)

• Crisis counselor language and perceived genuine concern in crisis conversations (Buda et al., Findings 2024)

ACL

• Greg Buda, Ignacio Tripodi, Margaret Meagher, and Elizabeth Olson. 2024. Crisis counselor language and perceived genuine concern in crisis conversations. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 7149–7160, Miami, Florida, USA. Association for Computational Linguistics.