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arXiv 2310.01282cs.HCcs.AI
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Grasping AI:面向设计师的体验式练习

Grasping AI: experiential exercises for designers

TU Delft(代尔夫特理工大学)

Dave Murray-Rust, Maria Luce Lupetti, Iohanna Nicenboim, Wouter van der Hoog

AI总结:

针对设计师难以平衡AI技术可能性与人类交互需求的问题,研究在交互设计课程中引入9项结合多类设计理念的AI体验式练习,证实其能帮助学生更具反思性与责任感地开展AI相关设计。

摘要:

人工智能(AI)与机器学习(ML)正日益融入实体和数字产品的运行过程,为交互方式与功能实现创造了前所未有的机遇。但设计师面临着在这一创意场景中开展构思的挑战,需要平衡技术可能性与人类交互相关需求。我们研究了用于探索和反思AI系统的交互可供性、独特关系可能性及更广泛社会影响的方法。我们在一门交互设计课程(n=100)中引入了9项“AI练习”,这些练习借鉴了超人类设计、负责任AI和思辨性展演方法,围绕AI交互设计打造体验式参与环节。我们发现,围绕隐喻和展演设计的练习能让训练与学习、隐私与同意、自主性与能动性相关问题更具具象性,从而帮助学生在设计过程和成果中,更具反思性与责任感地开展结合AI及其复杂特性的设计工作。

英文摘要:

Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into the functioning of physical and digital products, creating unprecedented opportunities for interaction and functionality. However, there is a challenge for designers to ideate within this creative landscape, balancing the possibilities of technology with human interactional concerns. We investigate techniques for exploring and reflecting on the interactional affordances, the unique relational possibilities, and the wider social implications of AI systems. We introduced into an interaction design course (n=100) nine 'AI exercises' that draw on more than human design, responsible AI, and speculative enactment to create experiential engagements around AI interaction design. We find that exercises around metaphors and enactments make questions of training and learning, privacy and consent, autonomy and agency more tangible, and thereby help students be more reflective and responsible on how to design with AI and its complex properties in both their design process and outcomes.

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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