发表机构
Singapore University of Technology and Design（新加坡科技设计大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究针对面向教师的智能体创作系统开展有限追踪研究，提出可问责翻译分析框架，揭示自然语言应用构建流程中专业意图在多环节转换的问题，扩展人机交互相关研究。
AI 中文摘要
自然语言应用构建工具让领域专家能创建软件，但其流程会在编译、生成、检查和批准环节中转换专业意图。我们报告一项面向教师的智能体创作系统的有限追踪研究，证据包含来自三个账户的六次合格构建尝试，以及来自23个显示名称的37个工作坊单元构成的独立语料库，该语料库在不关联个人层面的情况下明确相关承诺。编译后的规范增加了治理要求，而下游表示有时会将特定案例的学习关系规范化。尽管分析器存在保留意见且与需求的对应关系未解决，仍有两个草稿达到了存储包/安全阈值；一个账户的四次尝试未产生可用有效载荷，且修复消息未将内部术语转换为领域可理解的修订。我们提出可问责翻译作为分析框架，用于让重要变更可归因、可检查、验证范围内且可争议，该框架通过在异构技术与组织交接处定位专业权威和修复权利，扩展了人机交互领域的可追踪性与终端用户调试相关研究。
英文摘要
Natural-language app builders let domain experts create software, but their pipelines transform professional intent across compilation, generation, checking, and approval. We report a bounded trace study of a teacher-facing agentic authoring system. Evidence comprises six eligible build attempts across three accounts; a separate corpus of 37 workshop units from 23 display names contextualizes commitments without person-level linkage. Compiled specifications added governance requirements, while downstream representations sometimes normalized case-specific learning relations. Two drafts met a stored package/security threshold despite analyzer reservations and unresolved correspondence to their briefs; four attempts in one account produced no usable payload, and repair messages did not translate internal terms into domain-legible revisions. We develop accountable translation as an analytic framework for making consequential changes attributable, inspectable, scoped in validation, and contestable. It extends HCI accounts of traceability and end-user debugging by locating professional authority and repair rights across heterogeneous technical and organizational handoffs.
Comments22 pages, 4 figures, 5 tables. Preprint; not peer reviewed. Includes ancillary de-identified analytic materials
