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Proceedings of the 2019 Conference on Creativity and Cognition最新文献

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Multiscale Design Curation: Supporting Computer Science Students' Iterative and Reflective Creative Processes 多尺度设计策展:支持计算机科学学生的迭代和反思的创作过程
Pub Date : 2019-06-13 DOI: 10.1145/3325480.3325483
Nic Lupfer, A. Kerne, Rhema Linder, Hannah Fowler, Vijay Rajanna, M. Carrasco, Alyssa Valdez
We investigate new media to improve how teams of students create and organize artifacts as they perform design. Some design artifacts are readymade-e.g., prior work, reference images, code framework repositories-while others are self-made-e.g., storyboards, mock ups, prototypes, and user study reports. We studied how computer science students use the medium of free-form web curation to collect, assemble, and report on their team-based design projects. From our mixed qualitative methods analysis, we found that the use of space and scale was central to their engagement in creative processes of communication and contextualization. Multiscale design curation involves collecting readymade and creating self-made design artifacts, and assembling them-as elements, in a continuous space, using levels of visual scale-for thinking about, ideation, communicating, exhibiting (presenting), and archiving design process. Multiscale design curation instantiates a constructivist approach, elevating the role of design process representation. Student curations are open and unstructured, which helps avoid premature formalism and supported reflection in iterative design processes. Multiscale design curation takes advantage of human spatial cognition, through visual chunking, to support creative processes and collaborative articulation work, in integrated space.
我们研究新媒体,以改善学生团队在进行设计时如何创建和组织工件。有些设计工件是现成的,例如:,以前的工作,参考映像,代码框架存储库-而其他是自己制作的-例如。、故事板、模型、原型和用户研究报告。我们研究了计算机科学专业的学生如何使用自由形式的网络策划媒介来收集、组装和报告他们基于团队的设计项目。从我们的混合定性方法分析中,我们发现空间和规模的使用是他们参与交流和情境化的创造性过程的核心。多尺度设计策展包括收集现成的和自制的设计作品,并将它们作为元素组合在一起,在一个连续的空间中,使用视觉尺度的层次来思考、构思、交流、展示(呈现)和存档设计过程。多尺度设计策展实例化了一种建构主义的方法,提升了设计过程表征的作用。学生策展是开放和非结构化的,这有助于避免过早的形式主义,并支持在迭代设计过程中的反思。多尺度设计策展利用人类的空间认知,通过视觉分块,在综合空间中支持创意过程和协作衔接工作。
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引用次数: 7
Mothering Bacteria: A Speculative Forecast of the Body as an Interface 母体细菌:身体作为界面的推测性预测
Pub Date : 2019-06-13 DOI: 10.1145/3325480.3329173
Prophecy Sun, Freya Zinovieff, G. Sepúlveda
Bodies are interfaces, thresholds, vestibules, and gateways capable of hosting, carrying and birthing other life forms. Occupying indeterminable positions, interfacing with multidimensional borders, cultures, media, and ecologies; mediating internal and external inputs/relations - bodies feel vibrations, perceive and collect information, remediate, respond, negotiate expectations, and make connections through the limbs, eyes, ears, skin, cells and beyond. Scholars, critics, and theorists describe this complex interfacing as a multispecies relationship consisting of deep histories, continually re-forming and transitioning into something new (Dooren et al., 2016). What Eben Kirksey deems as the microorganism, Wolbachia, a post-human actor that meshes a variety of species together that exist in different time frames and realities (Kirksey, 2018). For this exhibition, we introduce Mothering Bacteria: A Speculative Forecast of the Body as an Interface (2018), a multichannel artwork with an embedded AI that interacts with bacteria, as it grows in real-time.
身体是界面、门槛、前厅和入口,能够承载、携带和生育其他生命形式。占据不确定的位置,与多维边界、文化、媒体和生态相连接;调节内部和外部输入/关系-身体感觉振动,感知和收集信息,修复,回应,协商期望,并通过四肢,眼睛,耳朵,皮肤,细胞和其他部位建立联系。学者、评论家和理论家将这种复杂的界面描述为一种由深刻的历史组成的多物种关系,不断地重新形成并过渡到新的东西(Dooren et al., 2016)。Eben Kirksey认为的微生物沃尔巴克氏体是一个后人类演员,它将存在于不同时间框架和现实中的各种物种融合在一起(Kirksey, 2018)。在本次展览中,我们将介绍一件多通道艺术作品——《母性细菌:作为界面的身体的推测预测》(2018),这是一件嵌入人工智能的多通道艺术作品,随着细菌的实时生长,人工智能与细菌相互作用。
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引用次数: 2
Session details: Keynote 2 会议详情:主题演讲2
Pub Date : 2019-06-13 DOI: 10.1145/3340695
M. Maher
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引用次数: 0
Session details: Session 1: Design-Process Oriented 会议详情:会议1:面向设计过程
Pub Date : 2019-06-13 DOI: 10.1145/3340693
A. Kerne
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引用次数: 0
Projected Horizons 预计的视野
Pub Date : 2019-06-13 DOI: 10.1145/3325480.3329186
Grace Grothaus
Projected Horizons is an installation for the at the California Institute for Telecommunications and Information Technology (Calit2) comprised of visualizations of arctic horizons and an accompanying sound composition. Footage of the jagged horizons of arctic glaciers will slowly pan as an audio composition unfolds, comprised of hydrophone recordings of arctic aquatic life. The rise and fall of the linear line that comprises the horizon will be mirrored in the sonic arc of the accompanying composition.
投影地平线是加州电信和信息技术研究所(Calit2)的一个装置,由北极地平线的可视化和伴随的声音组成。随着音频组合的展开,北极冰川参差不齐的地平线的镜头将慢慢平移,音频组合由北极水生生物的水听器录音组成。构成地平线的直线的上升和下降将反映在伴随构图的声波弧中。
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引用次数: 0
Being Yourself to be Creative: How Self-Similar Avatars can Support the Generation of Original Ideas in Virtual Environments 做你自己有创造力:在虚拟环境中,自我相似的化身如何支持原创思想的产生
Pub Date : 2019-06-13 DOI: 10.1145/3325480.3325482
Manon Marinussen, A. D. Rooij
Creative idea generation, the generation of original yet effective ideas, can be supported in virtual environments when interactions are facilitated via avatars with an appearance similar to their user, i.e. self-similar avatars. However, it is not known how self-similar avatars support creative idea generation. We propose that self-similarity supports the generation of original ideas, because it (i) increases the identification a user has with its avatar, which (ii) increases positive affect, and (iii) influences the positive affect-original idea generation link. To test this conjecture, an experiment was conducted where people composed their own avatar to be either self-similar or non-self-similar, which they then used to engage in two idea generation tasks presented within a custom virtual environment. The results suggest that using a self-similar rather than a non-self-similar avatar positively influences the generation of original ideas; and that this depends on the influence of self-similarity on the link between identification and positive affect. Thus, this paper contributes a mechanism that explains how self-similar avatars support the generation of original ideas.
在虚拟环境中,当通过与用户外观相似的化身(即自相似的化身)进行交互时,可以支持创造性的想法产生,即产生原创但有效的想法。然而,目前尚不清楚自相似的头像如何支持创造性的想法产生。我们提出,自相似性支持原创想法的产生,因为它(i)增加了用户对其头像的识别,这(ii)增加了积极影响,(iii)影响了积极影响-原创想法产生的联系。为了验证这一猜想,研究人员进行了一项实验,让人们将自己的头像设置为自相似或非自相似,然后让他们在一个定制的虚拟环境中参与两项创意生成任务。结果表明,使用自相似头像比使用非自相似头像对原创想法的产生有积极影响;这取决于自我相似性对认同和积极情感之间联系的影响。因此,本文提供了一种机制来解释自相似头像如何支持原创思想的产生。
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引用次数: 13
Session details: Workshops 会议详情:工作坊
Pub Date : 2019-06-13 DOI: 10.1145/3340706
Paul Taele, T. Hammond
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引用次数: 0
Feedback and Creativity: A Practice-Exploration in Design Studios 反馈与创意:设计工作室的实践探索
Pub Date : 2019-06-13 DOI: 10.1145/3325480.3326557
Hoa Vo
The effect of feedback as an educational tool to nurture creativity varies via circumstances. My dissertation will propose an authentic-performance-based investigation of effective practices of feedback on creativity in an interior design studio. The primary work found that students with high feedback receptivity outperformed in creativity. The next step is examining the smaller percentage of those with low feedback receptivity but still achieved decent creative outcomes.
反馈作为一种培养创造力的教育工具,其效果因环境而异。我的论文将提出一个真实的基于性能的调查在室内设计工作室的创造力反馈的有效实践。初步研究发现,反馈接受度高的学生在创造力方面表现优异。下一步是研究那些接受反馈能力较低但仍取得不错创意成果的少数人。
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引用次数: 1
How a Stylistic, Machine-Generated Thesaurus Impacts a Writer's Process 一个体裁的、机器生成的同义词典如何影响作家的写作过程
Pub Date : 2019-06-13 DOI: 10.1145/3325480.3326573
K. Gero, Lydia B. Chilton
Writers regularly use a thesaurus to help them write well; the thesaurus is one of the few widespread writing support tools and many writers find it integral to their writing practice. A normal thesaurus is hand-crafted and structured around strict synonymy for a given word sense. However, writers rarely look for a perfectly synonymous word -- instead they have additional ideas or constraints, such as words that are less cliche, more specific, or less gendered. Poets describe their usage as searching for words that "hold more interesting connotations." We present a machine learning approach to thesaurus generation, using word embeddings, that leverages stylistically distinct corpora -- such as naturalist writing, novels by a particular author, or writing from a technical discipline. We show examples of how stylistic thesauruses differ from each other and from a regular thesaurus, as well as preliminary responses from two writers who are given multiple stylistic thesauruses. Writers describe these thesauruses as reflective of style, unique from each other, and more exploratory and associative than a regular thesaurus. They also describe an increased attention to connotation. We outline plans for quantitative evaluation of stylistic thesauruses, and user studies to understand their impact on specific tasks.
作家经常使用同义词词典来帮助他们写得更好;同义词典是少数广泛的写作支持工具之一,许多作家发现它是他们写作实践的组成部分。正常的同义词典是围绕给定词义的严格同义词手工制作和构建的。然而,作家很少寻找一个完全同义的词——相反,他们有额外的想法或限制,比如不那么陈词滥调、更具体或不那么性别化的词。诗人将其描述为寻找“拥有更有趣内涵”的词语。我们提出了一种机器学习方法来生成同义词库,使用词嵌入,利用风格不同的语料库——比如自然主义者的作品,特定作者的小说,或者来自技术学科的作品。我们展示了风格同义词典如何彼此不同以及如何与常规同义词典不同的例子,以及来自两个作者的初步回应,他们被给予多个风格同义词典。作者将这些同义词典描述为风格的反映,彼此独特,并且比常规同义词典更具探索性和关联性。他们还描述了对内涵的日益关注。我们为文体同义词典的定量评估和用户研究概述计划,以了解它们对特定任务的影响。
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引用次数: 10
In Fleeting Visions: Deep Neural Music Fickle Play 在稍纵即逝的视觉:深层神经音乐变幻无常的发挥
Pub Date : 2019-06-13 DOI: 10.1145/3325480.3329175
S. Dubnov
We describe a series of short music pieces that is generated in a semi-improvised manner by a computer, using deep representations and temporal memory model constructed from learning a corpus of piano works by Sergei Prokofiev. Inspired by Prokofiev's piece of a similar name, this work explores imaginative capabilities of generative music machine through a series of passing-by sonic visions triggered by fleeting activations of the underlying musical network from a musician performer input. Unlike most other common machine learning and neural music compositions that explore stylistic imitation, the impetus here is to provide a rainbow of unimagined possibilities enabling creative human intervention and interaction with a complex system, realized in a series of improvisations, each with a different form, texture and character.
我们描述了一系列由计算机以半即兴的方式生成的短音乐作品,使用深度表示和时间记忆模型,这些模型是通过学习谢尔盖·普罗科菲耶夫的钢琴作品语料库构建的。受普罗科菲耶夫同名作品的启发,该作品通过一系列经过的声音视觉来探索生成音乐机器的想象能力,这些声音视觉是由音乐家表演者输入的底层音乐网络的短暂激活触发的。与大多数其他常见的机器学习和探索风格模仿的神经音乐作品不同,这里的推动力是提供一系列无法想象的可能性,使创造性的人类干预和与复杂系统的互动成为可能,在一系列即兴创作中实现,每个都有不同的形式,质地和特征。
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引用次数: 1
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Proceedings of the 2019 Conference on Creativity and Cognition
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