CRAFT: Exploring Wearable Creative AI on Smart Glasses for Fiction Writing in Real-World Contexts
Runze Cai, Yuxuan Huang, Lin-Ping Yuan, Kexin Xiang, David Hsu, Collier Nogues, Jussi Holopainen, Shengdong Zhao
摘要
Creative writing increasingly integrates AI assistance, yet current tools miss in-situ moments when writers draw inspiration from real-world experiences. We envision Context-aware Reality-Fiction Transformation (CRAFT ), an approach for AI glasses that translates daily experiences into fiction narratives. We explored its desirability, feasibility, and potential viability through three studies. Interviews with nine writers yielded desires and three design goals: 1) augmenting in-situ perception to bridge reality-fiction gaps, 2) promoting authenticity grounded in real-world experiences while maintaining fictionalization, and 3) preserving creative agency, enjoyment, and life-art boundaries. Co-design workshops with 16 writers and researchers operationalized these goals into concrete interaction mechanisms using a technology probe. We then conducted supported field trials with eight writers across 24 sessions using a refined probe, revealing writer-perceived benefits (e.g., enriched fictional ideas from serendipitous encounters), emergent practices (e.g., micro-creation), and design considerations for future sustained use. We contribute design explorations for the CRAFT approach, offering design implications and empirical insights on ubiquitous human-AI creative collaboration in everyday life.
CCS Concepts: • Human-centered computing → Ubiquitous and mobile computing systems and tools; Empirical studies in interaction design.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper37
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah 等NeurIPS 2020 · 被引用 64,255 次
- Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma 等NeurIPS 2022 · 被引用 22,562 次
- Searching for MobileNetV3Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le 等ICCV 2019 · 被引用 9,163 次
- MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained TransformersWenhui Wang, Furu Wei, Li Dong, Hangbo Bao 等NeurIPS 2020 · 被引用 2,727 次
- Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry ProfessionalsPiotr Mirowski, Kory W. Mathewson, Jaylen Pittman, Richard EvansCHI 2023 · 被引用 235 次
相关 Paper
- Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing SystemsDashiel Carrera, Jeb Thomas-Mitchell, Daniel WigdorCHI 2026 · 被引用 2 次
- PlayWrite: A Multimodal System for AI Supported Narrative Co-Authoring Through Play in XREsen K. Tütüncü, Qian Zhou, Frederik Brudy, George W. Fitzmaurice 等CHI 2026 · 被引用 2 次
- Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing ProcessMohi Reza, Jeb Thomas-Mitchell, Peter Dushniku, Nathan Laundry 等CSCW 2025 · 被引用 29 次
- Vistoria: A Multimodal System to Support Fictional Story Writing through Instrumental Image-Text Co-EditingKexue Fu, Jingfei Huang, Long Ling, Sumin Hong 等CHI 2026 · 被引用 3 次
- Creative Reflections on Image-Making with Artificial Intelligence: Interactions with a Provocative 'Camera'Rowan Page, Jian Shin SeeCHI 2025 · 被引用 6 次
