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相关论文: Kahaani: A Multimodal Co-Creative Storytelling Sys…

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Human emotions are essentially molded by lived experiences, from which we construct personalised meaning. The engagement in such meaning-making process has been practiced as an intervention in various psychotherapies to promote wellness.…

人机交互 · 计算机科学 2024-03-06 Qian Wan , Xin Feng , Yining Bei , Zhiqi Gao , Zhicong Lu

Human and AI are increasingly interacting and collaborating to accomplish various complex tasks in the context of diverse application domains (e.g., healthcare, transportation, and creative design). Two dynamic, learning entities (AI and…

人机交互 · 计算机科学 2019-10-29 Yi-Ching Huang , Yu-Ting Cheng , Lin-Lin Chen , Jane Yung-jen Hsu

Large Language Models show promise for AI-assisted storytelling, yet current tools often generate predictable, unoriginal narratives. To address this limitation, we present NarrativeLoom, a multi-persona co-creative system grounded in…

人机交互 · 计算机科学 2026-03-10 Yuxi Ma , Yongqian Peng , Fengyuan Yang , Siyu Zha , Chi Zhang , Zixia Jia , Zilong Zheng , Yixin Zhu

Emphasizing problem formulation in AI literacy activities with children is vital, yet we lack empirical studies on their structure and affordances. We propose that participatory design involving teachable machines facilitates problem…

人机交互 · 计算机科学 2024-03-01 Utkarsh Dwivedi , Salma Elsayed-Ali , Elizabeth Bonsignore , Hernisa Kacorri

We propose co-creative learning as a novel paradigm where humans and AI, i.e., biological and artificial agents, mutually integrate their partial perceptual information and knowledge to construct shared external representations, a process…

人机交互 · 计算机科学 2025-06-19 Ryota Okumura , Tadahiro Taniguchi , Akira Taniguchi , Yoshinobu Hagiwara

As a popular form of science communication, science stories attract readers because they combine engaging narratives with comprehensible scientific knowledge. However, crafting such stories requires substantial skill and effort, as writers…

人机交互 · 计算机科学 2025-04-30 Yu Zhang , Kexue Fu , Zhicong Lu

New systems employ Machine Learning to sift through large knowledge sources, creating flexible Large Language Models. These models discern context and predict sequential information in various communication forms. Generative AI, leveraging…

人工智能 · 计算机科学 2023-07-19 Ted Selker

Large Language Models (LLMs) have revolutionized AI systems by enabling communication with machines using natural language. Recent developments in Generative AI (GenAI) like Vision-Language Models (GPT-4V) and Gemini have shown great…

计算与语言 · 计算机科学 2024-07-17 Jakub M. Tomczak

Generative artificial intelligence (GenAI) can reshape education and learning. While large language models (LLMs) like ChatGPT dominate current educational research, multimodal capabilities, such as text-to-speech and text-to-image, are…

人工智能 · 计算机科学 2025-04-03 Ville Heilala , Roberto Araya , Raija Hämäläinen

This paper presents a speculation on a fictive co-creation scenario that extends classical interaction patterns with generative models. While existing interfaces are restricted to the input and output layers, we suggest hidden layer…

人机交互 · 计算机科学 2023-04-28 Imke Grabe , Jichen Zhu

Can visual artworks created using generative visual algorithms inspire human creativity in storytelling? We asked writers to write creative stories from a starting prompt, and provided them with visuals created by generative AI models from…

人机交互 · 计算机科学 2021-10-29 Safinah Ali , Devi Parikh

Mathematical language is a cornerstone of a child's mathematical development, and children can effectively acquire this language through storytelling with a knowledgeable and engaging partner. In this study, we leverage the recent advances…

人机交互 · 计算机科学 2024-02-28 Chao Zhang , Xuechen Liu , Katherine Ziska , Soobin Jeon , Chi-Lin Yu , Ying Xu

This research explores the opportunities of Generative AI (GenAI) in the realm of higher education through the design and development of a multimodal chatbot for an undergraduate course. Leveraging the ChatGPT API for nuanced text-based…

人机交互 · 计算机科学 2025-09-25 Johnny Chan , Yuming Li

This chapter examines the potential of generative AI in enhancing science literacy across the K-16+ grade span, including its benefits as well as the conceptual and practical challenges that doing so presents. It begins with a discussion of…

计算机与社会 · 计算机科学 2026-03-10 Xiaoming Zhai , James W. Pellegrino , Matias Rojas , Jongchan Park , Matthew Nyaaba , Clayton Cohn , Gautam Biswas

Educators have started to turn to Generative AI (GenAI) to help create new course content, but little is known about how they should do so. In this project, we investigated the first steps for optimizing content creation for advanced math.…

人工智能 · 计算机科学 2025-05-20 Yongan Yu , Alexandre Krantz , Nikki G. Lobczowski

We introduce Toyteller, an AI-powered storytelling system where users generate a mix of story text and visuals by directly manipulating character symbols like they are toy-playing. Anthropomorphized symbol motions can convey rich and…

人机交互 · 计算机科学 2025-01-24 John Joon Young Chung , Melissa Roemmele , Max Kreminski

AI Advancements have augmented casual writing and story generation, but their usage poses challenges in collaborative storytelling. In role-playing games such as Dungeons & Dragons (D&D), composing prompts using generative AI requires a…

人机交互 · 计算机科学 2023-04-05 Jose Ma. Santiago , Richard Lance Parayno , Jordan Aiko Deja , Briane Paul V. Samson

Generative Artificial Intelligence (GAI) can be seen as a double-edged weapon in education. Indeed, it may provide personalized, interactive and empowering pedagogical sequences that could favor students' intrinsic motivation, active…

计算机与社会 · 计算机科学 2023-11-13 Rania Abdelghani , Hélène Sauzéon , Pierre-Yves Oudeyer

Generative artificial intelligence (GenAI) is increasingly used to support a wide range of human tasks, yet empirical evidence on its effect on creativity remains scattered. Can GenAI generate ideas that are creative? To what extent can it…

人机交互 · 计算机科学 2025-05-26 Niklas Holzner , Sebastian Maier , Stefan Feuerriegel

Current conversational AI systems aim to understand a set of pre-designed requests and execute related actions, which limits them to evolve naturally and adapt based on human interactions. Motivated by how children learn their first…