arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2307.04481cs.HCcs.AI
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面向所有人的数字建模:探索新手如何进行基于语音的3D建模

Digital Modeling for Everyone: Exploring How Novices Approach Voice-Based 3D Modeling

University of Bari Aldo Moro(巴里大学);LMU Munich(慕尼黑大学)

Giuseppe Desolda, Andrea Esposito, Florian Müller, Sebastian Feger

AI总结:

本研究通过高保真Wizard of Oz实验(22名参与者)探索新手在语音3D建模中的心智模型,提出语音助手需处理模糊命令、提供简单命令集及多种对象选择策略的设计启示。

摘要:

诸如3D打印机之类的制造工具已变得对社会大众可及,使得“人人皆可数字制造”的承诺看似触手可及。尽管如今实际制造过程已基本自动化,用户仍需掌握复杂设计应用的知识,才能生产现成设计的对象、根据需求调整它们,或从头设计新对象。为降低个性化3D模型设计与定制的门槛,我们通过一项高保真“巫师之Oz”研究(Wizard of Oz study)探索了新手在基于语音的3D建模中的心智模型,该研究共有22名参与者。我们对收集的数据进行了主题分析,以理解新手的心智模型如何转化为基于语音的3D建模。最后,我们总结了对语音助手的设计启示。例如,语音助手必须:处理模糊、不完整和错误的命令;提供一组简单明了的命令来塑造简单和复合对象;并提供不同的策略来选择3D对象。

英文摘要:

Manufacturing tools like 3D printers have become accessible to the wider society, making the promise of digital fabrication for everyone seemingly reachable. While the actual manufacturing process is largely automated today, users still require knowledge of complex design applications to produce ready-designed objects and adapt them to their needs or design new objects from scratch. To lower the barrier to the design and customization of personalized 3D models, we explored novice mental models in voice-based 3D modeling by conducting a high-fidelity Wizard of Oz study with 22 participants. We performed a thematic analysis of the collected data to understand how the mental model of novices translates into voice-based 3D modeling. We conclude with design implications for voice assistants. For example, they have to: deal with vague, incomplete and wrong commands; provide a set of straightforward commands to shape simple and composite objects; and offer different strategies to select 3D objects.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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