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arxiv: 2509.17608 · v3 · submitted 2025-09-22 · 💻 cs.HC · cs.AI· cs.CL

AutiHero: Engaging Parents in Creating Personalized, Multi-path Social Narratives for Autistic Children

Jungeun Lee , Kyungah Lee , Inseok Hwang , SoHyun Park , Young-Ho Kim This is my paper

Pith reviewed 2026-05-18 15:02 UTC · model grok-4.3

classification 💻 cs.HC cs.AIcs.CL
keywords social narrativesautistic childrengenerative AIparent involvementmulti-path storiesbehavioral guidancepersonalized contenthuman-computer interaction
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The pith

AutiHero uses generative AI to let parents create personalized multi-path social narratives that help autistic children explore behavioral choices and consequences.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper presents a system called AutiHero that uses generative AI to help parents of autistic children create and customize multi-path social stories targeting specific behaviors. These stories allow parents and children to explore different choices and see the causal outcomes together during reading sessions. A two-week study with 16 parent-child pairs found that parents actively made, changed, and read these stories, reporting greater confidence in handling everyday behavioral guidance. This approach reduces the time and effort parents traditionally spend on preparing such materials. If effective, it could make social narrative interventions more accessible and integrated into daily family routines.

Core claim

AutiHero is a generative AI-based social narrative system that supports parents to create personalized, multi-path stories targeting specific behaviors of their autistic children. It enables exploration of behavioral choices and causal consequences together in reading. In a two-week deployment with 16 autistic child-parent dyads, parents actively created, adapted, and read stories, showing increased confidence in everyday behavioral guidance. The work contributes real-world-contextualized text+image content creation approaches using GenAI for sensitive contexts.

What carries the argument

The AutiHero system, which harnesses generative AI to produce personalized text and image content for multi-path social narratives that branch based on behavioral choices.

Load-bearing premise

That self-reported increases in parental confidence from a short two-week study with 16 families reliably indicate lasting benefits without objective data on children's actual behavior.

What would settle it

A follow-up study measuring children's specific behavioral improvements or sustained parental confidence over several months with control groups showing no difference.

Figures

Figures reproduced from arXiv: 2509.17608 by Inseok Hwang, Jungeun Lee, Kyungah Lee, SoHyun Park, Young-Ho Kim.

Figure 1
Figure 1. Figure 1: AutiHero helps parents create personalized stories to guide their children’s behaviors, leveraging generative AI. Parents begin by identifying a specific target behavior for their child they want to address in daily life (○a )—for example, waiting for her turn to talk—and enter it into the Creator app (○b ). The system then generates a story that features the child as the protagonist (○c ), incorporates th… view at source ↗
Figure 2
Figure 2. Figure 2: Example story structure with desirable and undesirable paths. In the Challenge page ( [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Overview of the usage flow of AutiHero, from profile management to story creation, and story reading [PITH_FULL_IMAGE:figures/full_fig_p008_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Pipelines for generating story text and visual illustrations. First, the Topic type classifier ( [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Our deployment study participants using AutiHero at home during the introductory session. survey also asked parents to rate their perception of changes in their child’s behavior as well as the corresponding shifts in parental response strategies, for each target behavior they had entered into the system, using a 5-point Likert scale (from “Changed very nega￾tively” to “Changed very positively” with “Not ch… view at source ↗
Figure 6
Figure 6. Figure 6: Distribution of story creation and reading sessions on a daily basis over the course of 14-day deployment period. [PITH_FULL_IMAGE:figures/full_fig_p014_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Post-study ratings of parent participants on the technology acceptance model (TAM) subscales, evaluating the Creator [PITH_FULL_IMAGE:figures/full_fig_p016_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Illustrations excerpted from participants’ stories, seamlessly blending the interests, places, and persons chosen by [PITH_FULL_IMAGE:figures/full_fig_p017_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Distribution of story reading durations by hour of [PITH_FULL_IMAGE:figures/full_fig_p018_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Reported changes in children’s behaviors (a) and parental behaviors (b) in response to children’s behaviors, based [PITH_FULL_IMAGE:figures/full_fig_p019_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Prompt for generating story text per topic. [PITH_FULL_IMAGE:figures/full_fig_p024_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Prompt for generating story illustrations. [PITH_FULL_IMAGE:figures/full_fig_p025_12.png] view at source ↗
read the original abstract

Social narratives help autistic children understand and navigate social situations through stories. To ensure effective practice, however, they often require significant time and effort from parents in customizing the narrative materials and delivering repeated instructions on them. We present AutiHero, a generative AI (GenAI)-based social narrative system, which supports parents to create personalized, multi-path stories targeting specific behavior of their autistic children, while enabling them to explore behavioral choices and causal consequences together in reading. A two-week deployment study with 16 autistic child-parent dyads showed that parents actively created, adapted, and read stories with their children, with increased confidence in everyday behavioral guidance. Our work contributes real-world-contextualized text+image content creation approaches harnessing GenAI, ensuring user-aligned application in sensitive contexts involving autistic children and their parents.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The paper introduces AutiHero, a generative AI system that enables parents to create personalized, multi-path social narratives targeting specific behaviors of their autistic children, allowing joint exploration of choices and consequences during reading. It reports results from a two-week deployment study with 16 autistic child-parent dyads, in which parents actively created, adapted, and read stories, accompanied by self-reported increases in confidence for everyday behavioral guidance. The work positions this as a contribution to user-aligned GenAI applications in sensitive autism-support contexts.

Significance. If the reported benefits hold under more rigorous evaluation, the multi-path narrative design and GenAI-assisted personalization could meaningfully lower barriers for parents creating social stories. The system concept for real-world, text+image content creation in this domain is a clear strength and aligns with needs in HCI and special education. However, the current evidence is too preliminary to support strong claims about effectiveness or generalizability.

major comments (1)
  1. [Evaluation / Deployment Study] The deployment study (described in the Evaluation section) reports positive parental engagement and increased confidence after two weeks but provides no details on outcome measures, pre/post assessment instruments, statistical tests, control conditions, or any objective behavioral data collected from the children. Without these, the data cannot distinguish system effects from novelty, repeated engagement, or reporting bias, undermining the central claim that AutiHero produces benefits in behavioral guidance.
minor comments (2)
  1. [Abstract] The abstract states positive study outcomes without any reference to study limitations, sample size, or duration; adding a brief qualifier would improve balance and reader expectations.
  2. [System Design] Notation for story paths and behavioral branches could be clarified with a small diagram or explicit definition early in the System Design section to aid readers unfamiliar with multi-path narratives.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their constructive feedback and for recognizing the potential of the multi-path narrative approach in sensitive autism-support contexts. We address the major comment on the evaluation study below.

read point-by-point responses

  1. Referee: [Evaluation / Deployment Study] The deployment study (described in the Evaluation section) reports positive parental engagement and increased confidence after two weeks but provides no details on outcome measures, pre/post assessment instruments, statistical tests, control conditions, or any objective behavioral data collected from the children. Without these, the data cannot distinguish system effects from novelty, repeated engagement, or reporting bias, undermining the central claim that AutiHero produces benefits in behavioral guidance.

    Authors: We agree that the current reporting lacks sufficient detail on the evaluation methods. The two-week study was designed as an exploratory deployment to examine real-world parental engagement and perceived utility rather than as a controlled efficacy trial. Data were gathered via system usage logs (tracking story creation, adaptation, and reading frequency) and post-study semi-structured interviews in which parents described changes in their confidence for behavioral guidance. No standardized pre/post instruments, statistical tests, control conditions, or objective child behavioral observations were included, as the priority was ecological validity and minimizing burden on families. We will revise the Evaluation section to explicitly describe the interview protocol, provide example questions used to assess confidence, add a limitations subsection discussing self-report bias and the absence of controls, and adjust language to frame the confidence increases as parent-reported perceptions within an exploratory study. These changes will improve transparency while preserving the study's focus. revision: yes

Circularity Check

0 steps flagged

No circularity: empirical deployment study stands on observed usage and self-reports

full rationale

The paper describes a GenAI system for multi-path social narratives and reports results from a two-week deployment with 16 child-parent dyads. Central claims rest on parents actively creating/adapting stories and self-reported confidence gains. No equations, fitted parameters renamed as predictions, self-citation load-bearing for uniqueness theorems, or definitional loops appear. The study is presented as independent evidence rather than a tautology presupposing its own outcome.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 1 invented entities

The central claim depends on a new AI system design and a small user study. No free parameters are fitted in the usual sense. The main assumptions are standard in HCI deployment studies.

axioms (1)
  • domain assumption Parents can accurately self-report increases in their confidence for guiding child behavior after short-term tool use.
    The reported outcome of increased confidence relies on this self-report assumption.
invented entities (1)
  • AutiHero system no independent evidence
    purpose: Generative AI tool for creating personalized multi-path social narratives
    Newly introduced platform whose effectiveness is evaluated in the study.

pith-pipeline@v0.9.0 · 5683 in / 1258 out tokens · 75558 ms · 2026-05-18T15:02:00.958304+00:00 · methodology

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Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. StoryEcho: A Generative Child-as-Actor Storytelling System for Picky-Eating Intervention

    cs.HC 2026-04 unverdicted novelty 6.0

    A child-as-actor generative storytelling system updated by real-world food behavior increases preschoolers' willingness to try low-preference foods and reduces parental feeding pressure in a field study with 11 families.

Reference graph

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