"When He Feels Cold, He Goes to the Seahorse"-Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts Therapy

Storymaking, as an integrative form of expressive arts therapy, is an effective means to foster family communication. Yet, the integration of generative AI as expressive materials in therapeutic storymaking remains underexplored. And there is a lack of HCI implications on how to support families and therapists in this context. Addressing this, our study involved five weeks of storymaking sessions with seven families guided by a professional therapist. In these sessions, the families used both traditional art-making materials and image-based generative AI to create and evolve their family stories. Via the rich empirical data and commentaries from four expert therapists, we contextualize how families creatively melded AI and traditional expressive materials to externalize their ideas and feelings. Through the lens of Expressive Therapies Continuum (ETC), we characterize the therapeutic implications of AI as expressive materials. Desirable interaction qualities to support children, parents, and therapists are distilled for future HCI research.Comment: to appear at ACM CHI '2

Detecting gender stereotypes in children digital storytelling

Gender is a major variable affecting identity and life opportunities from a young age. Our research aims to explore the persistence of gender stereotypes in multimedia stories created by children with the final purpose of attenuating this stereotypical thinking by proposing new processes and tools. The paper investigates the following research question: how can gender stereotypes be detected in the stories produced by children with Digital StoryTelling? We addressed this issue by analyzing 23 multimedia stories created by 83 children, aged 11-12 years. The main contribution of our work is an evaluation methodology to detect gender stereotypes. © 2019 Copyright held by the owner/author(s)