Storytelling Therapy: Narrative & AI Approaches

• Storytelling therapy is defined as a set of narrative practices that use personal stories, myths, and co-created narratives to facilitate externalization, re-authoring, and meaningful behavioral change.
• It integrates methods from traditional narrative therapy, child-centered storytelling workshops, and family expressive arts to digital, AI-mediated narrative platforms for tailored therapeutic support.
• Empirical evaluations demonstrate significant improvements in self-agency and narrative innovation, with measurable gains in emotional expression and reflective dialogue across diverse populations.

Storytelling therapy denotes a cluster of therapeutic and therapy-adjacent practices in which stories, life narratives, myths, symbolic characters, reminiscence, or co-created fictional worlds are used to facilitate emotional expression, reflection, meaning-making, and behavioral change. In the cited literature, it ranges from narrative therapy that helps clients move from problem-saturated accounts toward alternative, more agentic stories, to child-centered story workshops based on actants and functions, to family expressive-arts storymaking, reminiscence-oriented photo storytelling, and AI-mediated reflective systems that scaffold narrative dialogue, assessment, and support (Feng et al., 27 Jul 2025, Jimenez-Honrado et al., 30 Jul 2025, Liu et al., 2024, Li et al., 2023).

1. Scope and principal forms

A central lineage is narrative therapy, pioneered by Michael White and David Epston. Here the therapeutic target is the person’s “life story”: distress is described as a problem-saturated narrative in which failure, shame, helplessness, or similar themes dominate interpretation. The therapeutic task is to externalize the problem, notice exceptions and small successes, explore values and hopes, and build an alternative story in which the person is more agentic, capable, and connected (Feng et al., 27 Jul 2025).

A second lineage uses stories, myths, and guided narrative construction more explicitly as workshop materials. In the PWA paper on “Storytelling Therapy Support,” storytelling therapy is presented as a therapeutic approach using stories, myths, and narrative creation, especially with children. That approach is grounded in Vladimir Propp’s Morphology of the Folktale, Joseph Campbell’s myth structure, and Gianni Rodari’s card-based storytelling game, in which cards correspond to actants or narrative functions and are combined to build a story. Its stated objective is not to give a moral or explanation, but to assist the child in reflecting on the ideas chosen in different situations and to “draw his reflections” (Jimenez-Honrado et al., 30 Jul 2025).

A third lineage appears in family expressive arts therapy, where storymaking is an integrative process rather than a purely verbal task. Families construct characters, scenes, and plots through drawing, clay, collage, Lego, toys, role-play, and, in recent work, image-based generative AI. Here projection, metaphor, and co-created family narratives are central: characters become self-symbols, scenes map lived contexts, and story development makes relational patterns visible and negotiable (Liu et al., 2024).

Adjacent literatures broaden the scope further. Reminiscence-oriented family photo storytelling is framed as an intergenerational practice at “the nexus of personal and collective memories,” supporting family legacy, identity, empathy, and generativity (Li et al., 2023). Online postpartum depression communities use narrative sharing of lived experience as a quasi-therapeutic mode of emotional validation, normalization, and informational support (Progga et al., 2022). Reflective systems for older adults similarly use personalized narratives about daily activities and motivations to support emotional well-being, reflection, and health-promoting activity (Baskar et al., 11 May 2026).

Form	Core unit of work	Representative citation
Narrative therapy	Problem-saturated life story and alternative story	(Feng et al., 27 Jul 2025)
Child storytelling workshops	Actants, Proppian functions, therapist-guided reflection	(Jimenez-Honrado et al., 30 Jul 2025)
Family expressive arts storymaking	Multimaterial characters, scenes, metaphor–journey–resolution	(Liu et al., 2024)
Reminiscence storytelling	Family photos, shared memory, intergenerational meaning	(Li et al., 2023)
Digital peer storytelling	Lived-experience narratives and social support	(Progga et al., 2022)

2. Therapeutic mechanisms and narrative structures

Across these forms, several mechanisms recur. Narrative therapy explicitly uses externalization—for example, separating “the problem” from “the person”—along with identifying exceptions, values, and supportive relationships. Family storymaking uses metaphor and self-symbolic characters for a similar purpose: a purple fish may stand for the child, a seahorse for the mother, and a drifting jellyfish for a less-present father. School-based resilience systems likewise ask children what a character would do in situations such as exam stress, teacher criticism, or social exclusion, thereby creating a fictional buffer through which children disclose feelings and coping tendencies (Feng et al., 27 Jul 2025, Liu et al., 2024, Chen et al., 26 Feb 2026).

These practices are typically structured, not merely spontaneous. In narrative therapy, the process is described as moving through Trust Building, Problem Externalization, Re-authoring, and Re-membering. In the Spanish storytelling-therapy workshop tradition, children move from an initial situation through selected characters and Proppian functions, then review the completed story with a therapist. In adjacent child-centered systems, emotions are treated as first-class story elements that must be linked to situations and consequences across a four-part arc such as Start, Journey, Climax, and End. Taken together, these works suggest that storytelling therapy usually depends on a scaffolded narrative sequence rather than unrestricted improvisation (Feng et al., 27 Jul 2025, Jimenez-Honrado et al., 30 Jul 2025, Choi et al., 17 Apr 2025).

A further recurring mechanism is transfer: the movement from a specific plot to a generalized meaning and then to a new story or life context. Storypark operationalizes this as “Key idea,” “Generalization,” and “Transfer,” asking children not only to understand a story’s core idea but also to explain it abstractly and build a new story that expresses it. TaleBot similarly uses co-created adversity stories to surface coping strategies and then carries the resulting storybook into parent reflection. A plausible implication is that storytelling therapy is not exhausted by catharsis; it also seeks abstraction, re-application, and the construction of future-oriented narrative options (Ye et al., 2024, Chen et al., 26 Feb 2026).

3. Populations, settings, and therapeutic aims

The populations addressed in the cited work are heterogeneous. Several papers focus on children. The PWA storytelling-therapy support paper describes applications for very young hospitalized children aged 0–6, children aged 9–13 in cancer treatment, and workshop settings for children aged 6+ who can actively create stories with guidance. TaleBot works with elementary school children in counseling rooms under teacher guidance. Tinker Tales is designed for children roughly 4–6 years old and is explicitly not positioned as therapy, but as a child-centered interactive storytelling framework for narrative development and AI literacy with clear socio-emotional implications (Jimenez-Honrado et al., 30 Jul 2025, Chen et al., 26 Feb 2026, Choi et al., 17 Apr 2025).

Family-oriented work emphasizes co-created stories as a medium of communication. In the five-week expressive-arts study, seven families made characters and scenes together, enacted narratives, and took home printed storybooks and tokens. In intergenerational reminiscence research, ten grandparent–grandchild pairs used family photos to exchange memories, family values, and historical context. The psychosocial aims here include strengthening bonds, family identity, empathy, and shared meaning, rather than symptom reduction in a narrow clinical sense (Liu et al., 2024, Li et al., 2023).

Adult-facing work often shifts from symbolic fiction toward reflective life narrative. The postpartum depression study examined the r/Postpartum_Depression subreddit, where mothers used storytelling about symptoms, trauma, social factors, and caregiving burdens to obtain emotional and informational support. The reflective storytelling agent for older adults used user models of physical, social, and recovery activities, plus motivations such as enjoyment, obligation, and health goals, to generate purposeful narratives about daily life. These narratives were framed around inquiry, deliberation, and persuasion rather than around clinical treatment protocols (Progga et al., 2022, Baskar et al., 11 May 2026).

Settings are correspondingly diverse: hospitals, schools, libraries, association halls, counseling rooms, homes, online support communities, and conversational or multimodal AI systems. This diversity is important because it shows that “storytelling therapy” in current research is not a single protocol but a family of interventions spanning psychotherapy, educational support, reminiscence, family communication, and digital mental-health-adjacent tools (Jimenez-Honrado et al., 30 Jul 2025, Burtenshaw, 2020).

4. Computational formalization and AI architectures

Recent work increasingly formalizes storytelling therapy computationally. The clearest example is INT (Interactive Narrative Therapist), which represents therapy as a planning space

$\Phi = (\mathcal{S}, \mathcal{L}),$

where $\mathcal{S}$ contains four therapeutic stages—Trust Building, Problem Externalization, Re-authoring Conversation, and Re-membering Conversation—and $\mathcal{L}$ contains stage-specific reflection levels. For each turn, INT first plans the stage

$s_t = \Psi_S(\mathcal{H}_t, C_t, \pi_{stage}),$

then the reflection level

$$l_t^t = \Psi_L(s_t, \mathcal{H}_t, C_t, \pi_{reflection}),$$

and finally generates a response conditioned on the history, the client utterance, the selected stage and level, and retrieved expert examples: $$T_t = \Psi_T(\mathcal{H}_t, C_t, s_t, l_t^t, \mathcal{E}_t; \pi_{response}).$$ This design encodes a specific view of storytelling therapy: not generic empathy, but staged, depth-controlled narrative work (Feng et al., 27 Jul 2025).

The same paper also formalizes therapy progress through Innovative Moments (IMs). For each client utterance $C_t$, the IMA framework predicts which IM tags are present,

$$\mathcal{I}_t = \Gamma(C_t, \mathcal{H}_t; \pi_{IM}),$$

and defines the salience of an IM type as the proportion of dialogue words occupied by that kind of narrative shift: $$\text{Salience}(\mathcal{I}_i) = \frac{\sum_{t=1}^{N} \text{WordCount}(C_t \cap \mathcal{I}_i)}{\sum_{t=1}^{N} \text{WordCount}(C_t \cup T_t)}.$$ The IM taxonomy distinguishes Level 1 moments that create distance from the problem and Level 2 moments centered on change and self-transformation, allowing quantitative modeling of whether a conversation remains problem-saturated or shifts toward an alternative story (Feng et al., 27 Jul 2025).

Other systems formalize related dimensions of storytelling therapy. EC-Script for art therapy uses Emotion-Trajectory Planning, Character-Driven Scene Generation, and Emotion-Controlled Script Writing to make generated scripts follow one of six emotional arcs—Rags to Riches, Tragedy, Icarus, Man in a Hole, Cinderella, or Oedipus—while controlling scene- and character-level VAD values (Wang et al., 15 Jun 2026). KG-assisted storytelling treats a knowledge graph as an editable narrative control surface, allowing users to add, delete, or modify nodes and relations and then regenerate scenes accordingly (Pan et al., 30 May 2025). The reflective storytelling agent for older adults grounds narratives in OWL/RDF user models and argumentation schemes such as Argument from Value and computes argument-quality and hallucination-risk indicators for generated stories (Baskar et al., 11 May 2026). Physiological Interactive Fiction adapts narrative branching in real time from breathing, electrodermal activity, and eye-tracking signals (Frey et al., 2020).

The computational literature therefore does not reduce storytelling therapy to a single chatbot paradigm. It spans staged psychotherapy simulation, emotional-arc control, editable narrative world models, argumentative grounding, transcript visualization, and physiological adaptation (Lin et al., 2023, Powers, 2019).

5. Evidence and observed outcomes

The strongest direct therapy evaluation in the cited set is the narrative-therapy study introducing INT and IMA. In human interaction, 200 real participants each had a 30-minute conversation with one system, and 30 joined a within-subject comparison of INT variants. Compared with the best role-playing baseline, GPT-4o, INT was similar on Reassuring (3.11 vs 3.09) but higher on Empowering (2.75 vs 3.11), Transformative (2.52 vs 3.42), Reconnecting (2.49 vs 3.37), and the average of the four core dimensions (2.72 vs 3.25). On expert-annotated Innovative Moments, Total IM salience increased from 21.858% to 29.698%, with especially large gains in Level 2 moments such as Action II (4.211% vs 8.730%) and Reflection II (5.827% vs 9.680%). The ablation study further showed that removing expert-example retrieval or reflection-level planning reduced performance, indicating that stage planning, depth control, and retrieval each contributed to therapeutic quality (Feng et al., 27 Jul 2025).

Evidence for child-oriented systems is more heterogeneous. Storypark reported significant pre–post gains in Key idea, Generalization, and Transfer, with total scores of $p = 0.000$, $\mathcal{S}$0; $\mathcal{S}$1, $\mathcal{S}$2; and $\mathcal{S}$3, $\mathcal{S}$4, respectively. Eight participants created new stories expressing the key idea, nine retold the original story in their own words, and three children aged 5–6 could not construct their own story (Ye et al., 2024). TaleBot, evaluated with 12 elementary children in school counseling rooms, obtained a mean child SUS score of 81.09 with SD = 9.80, and the authors report that it encouraged self-expression of feelings and thoughts while giving teachers and parents new opportunities for personalized support (Chen et al., 26 Feb 2026). Tinker Tales, although not a clinical tool, produced high story-quality ratings in 30 simulated sessions—Elements Relevancy Human 5.00, LLM 4.53; Narrative Coherence Human 4.77, LLM 4.80; Educational Value Human 4.97, LLM 4.53—and its generated stories were safer than a sample of children’s corpus text across every Moderation API and Perspective API category reported (Choi et al., 17 Apr 2025).

Naturalistic and quasi-therapeutic evidence also supports the broader significance of narrative sharing. In the postpartum depression study, 43.39% of 992 Reddit posts contained a story or experience, and participants described reading and sharing these narratives as “just like therapy!” (Progga et al., 2022). In the older-adult reflective agent study, 55 participants evaluated persona-based narratives; they recognized personally relevant purposes in roughly two thirds of narratives, and argument-based purposes were identified in around half of these cases, while higher hallucination-risk indicators were more often associated with perceived inconsistency (Baskar et al., 11 May 2026). Outside therapy proper, speculative storytelling about healthcare AI broadened harm recognition from a concentration on privacy and well-being to a more even distribution across 13 harm types, increasing Shannon entropy from 2.433 to 3.383, and broadened benefit recognition from 2.579 to 3.554 (Zhao et al., 16 Oct 2025). These results do not demonstrate psychotherapy outcomes, but they do show that stories reliably support reflection, perspective-taking, and ethical imagination.

6. Limits, controversies, and future directions

A recurrent misconception is that storytelling therapy is equivalent to generic comforting talk. The narrative-therapy literature instead emphasizes staged work on trust, externalization, re-authoring, and re-membering, and the INT ablation results indicate that simply telling a model to role-play a narrative therapist is not enough (Feng et al., 27 Jul 2025). A second misconception is that any interactive storytelling system is automatically therapeutic. Several papers explicitly resist that equation: Tinker Tales is “not a clinical tool,” TherapyView does not position itself as narrative therapy, and AI Stories is presented as a resource between education and play in pediatric wards rather than as treatment (Choi et al., 17 Apr 2025, Lin et al., 2023, Burtenshaw, 2020).

Clinical and ethical limits are repeatedly stressed. INT is not a replacement for professional therapy, especially in complex or high-risk cases; it was developed and evaluated in an English-speaking context; and long-term studies are still needed to determine whether observed narrative shifts translate into durable improvements in depression, anxiety, or other outcomes (Feng et al., 27 Jul 2025). TaleBot is framed as a technology probe rather than licensed therapy, and its AI-generated psychological commentary may be incomplete or biased because it lacks access to the child’s full life context (Chen et al., 26 Feb 2026). The older-adult storytelling agent is a health-promotion system rather than psychotherapy, and its argument-mining safeguards are informative but not fail-safe (Baskar et al., 11 May 2026).

There are also important technical controversies. Knowledge-graph control improved action-oriented or “kinetic” narratives but degraded “introspective” narratives under the small-model setting studied, suggesting that over-structuring can flatten emotional nuance (Pan et al., 30 May 2025). Physiological adaptation raises explicit ethical distinctions between biofeedback, neuroadaptive support, and “deceiving users,” with covert use of physiological signals treated as ethically problematic (Frey et al., 2020). In AI-supported family storymaking, polished generative outputs may enhance confidence and authorship for some children but also risk overemphasizing product, obscuring authorship, or shifting the locus of control away from the family unless the therapist treats AI images as materials rather than endpoints (Liu et al., 2024).

Future directions in the literature point toward tighter integration of therapeutic structure, controllability, and reflective oversight. These include long-term outcome studies; interactive therapist-in-the-loop systems; cross-cultural adaptation; multimodal story environments combining text, images, sound, and tangible materials; transcript analytics that track topic and narrative change over time; and safer grounding mechanisms such as explicit user models, argumentation schemes, editable knowledge graphs, and process measures like Innovative Moments (Feng et al., 27 Jul 2025, Lin et al., 2023, Wang et al., 15 Jun 2026). Taken together, the current research suggests that storytelling therapy is evolving from a set of largely human-led narrative practices into a broader technical and clinical field concerned with how stories can be structured, shared, measured, and ethically mediated without losing their central therapeutic functions of externalization, reflection, connection, and re-authoring.