Experiences of Narrative Therapy Using AI Image Generating Techniques - Focusing on women’s cases with unresolved issues of family of origin -

Objectives: This study is a multiple case study analyzing the counseling experiences of four women with unresolved family-of-origin issues through narrative therapy using AI image generation. Methods: DALL-E3 was used to convert family-of-origin issues and expectations into images, which were then used as tools for counseling. After completing five sessions of counseling, semi-structured interviews and focus group interviews were conducted. Results: The findings from the qualitative analyses were as follows. First, in the domain of “encountering AI”, AI was found to be an effective tool for helping participants to confront unresolved family-of-origin issues, overcome sadness and regain confidence and agency. Second, in the domain of “dissolution of discourse”, participants' understanding and acceptance of their family-of-origin increased. Third, in the domain of “alternative story”, participants’ current family relationships were improved, and their self-care/self-acceptance abilities were expanded. Conclusion: The potential use of image-generating AI in the family therapy field was discussed.

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Publication Details

Journal
Korean Association of Family Therapy
Published
2024-09-30
DOI
https://doi.org/10.21479/kaft.2024.32.3.365
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Experiences of Narrative Therapy Using AI Image Generating Techniques - Focusing on women’s cases with unresolved issues of family of origin -

Chun Young-Ju, Mi-Hyang Bin
Korean Association of Family Therapy
Diverse Approaches in Healthcare and Education Studies
article

Experiences of Narrative Therapy Using AI Image Generating Techniques - Focusing on women’s cases with unresolved issues of family of origin -

Chun Young-Ju, Mi-Hyang Bin
article en

Abstract

Objectives: This study is a multiple case study analyzing the counseling experiences of four women with unresolved family-of-origin issues through narrative therapy using AI image generation. Methods: DALL-E3 was used to convert family-of-origin issues and expectations into images, which were then used as tools for counseling. After completing five sessions of counseling, semi-structured interviews and focus group interviews were conducted. Results: The findings from the qualitative analyses were as follows. First, in the domain of “encountering AI”, AI was found to be an effective tool for helping participants to confront unresolved family-of-origin issues, overcome sadness and regain confidence and agency. Second, in the domain of “dissolution of discourse”, participants' understanding and acceptance of their family-of-origin increased. Third, in the domain of “alternative story”, participants’ current family relationships were improved, and their self-care/self-acceptance abilities were expanded. Conclusion: The potential use of image-generating AI in the family therapy field was discussed.

Korean Association of Family TherapyVol. 32(3)
Gender equality
Openalex Percentile: Top 73%
Diverse Approaches in Healthcare and Education Studies
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Experiences of Narrative Therapy Using AI Image Generating Techniques - Focusing on women’s cases with unresolved issues of family of origin - — Chun Young-Ju, Mi-Hyang Bin · Korean Association of Family Therapy (2024) | TGRS Research Map | TGRS