Artinter: AI-powered Boundary Objects for Commissioning Visual Arts

被引：5
作者：
Chung, John Joon Young [1 ]
Adar, Eytan [1 ]
机构：
[1] Univ Michigan, Ann Arbor, MI 48109 USA
来源：
DESIGNING INTERACTIVE SYSTEMS CONFERENCE, DIS 2023 | 2023年
关键词：
visual arts; creativity support tool; human-AI interaction; collaboration; COORDINATION;
D O I：
10.1145/3563657.3595961
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
When commissioning visual art, clients and artists communicate to agree on what is to be created. This often requires bridging a language gap in how they conceive art. To arrive at a mutual understanding, they leverage boundary objects-organized language and artifact instances. However, building and working with such objects is hard due to their innate subjectivity and ambiguity. Moreover, acquiring artifact instances, such as references and sketches, requires efort. We introduce Artinter, an AI-powered commission-support system for sharing, concretizing, and expanding boundary objects. Artinter helps artists and clients develop a mutually understood 'language' by allowing them to defne concepts with artifacts (e.g., what they mean by 'happy'). The system provides two AI-powered approaches for expanding commission boundary objects: 1) guided search with user-defned concepts and 2) instance generation by mixing concepts and artifacts. Our studies identify how AI features can support commissions and reveal future directions for AI-powered collaborative art-making.
引用
收藏
页码：1997 / 2018
页数：22
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