Social Sensemaking with AI: Designing an Open-ended AI Experience with a Blind Child

Social Sensemaking with AI: Designing an Open-ended AI Experience with a Blind Child
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人工智能的社会意义建构:为盲童设计开放式人工智能体验

DOI:
10.1145/3411764.3445290
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发表时间:
2021
期刊:
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
A. Sellen
A. Sellen
中科院分区:
--
文献类型:
--
作者:
C. Morrison;Edward Cutrell;Martin Grayson;Anja Thieme;Alex S Taylor;G. Roumen;Camilla Longden;Sebastian Tschiatschek;R. Marques;A. Sellen

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人工智能技术通常用于帮助人们执行具有明确目标的离散任务(例如,识别图像中的面部)。提供连续、实时信息的新兴技术可以带来更多开放式的人工智能体验。在与一个盲童的合作中,我们探索了为一个旨在支持社会意义构建的系统设计人机交互的挑战和机遇。采用通过设计进行研究的观点,我们反思在设计这种体验时使用人工智能系统的不确定能力。我们的贡献:(i)一个开放式人工智能系统的具体例子,使一个盲童能够扩展自己的能力;(ii)说明想象和实际使用之间的三角洲,强调能力如何来自人类-人工智能交互,而不仅仅是人工智能系统;(iii)讨论设计选择,以制定持续的人类-人工智能交互,解决人工智能系统不确定输出的挑战。
AI technologies are often used to aid people in performing discrete tasks with well-defined goals (e.g., recognising faces in images). Emerging technologies that provide continuous, real-time information enable more open-ended AI experiences. In partnership with a blind child, we explore the challenges and opportunities of designing human-AI interaction for a system intended to support social sensemaking. Adopting a research-through-design perspective, we reflect upon working with the uncertain capabilities of AI systems in the design of this experience. We contribute: (i) a concrete example of an open-ended AI system that enabled a blind child to extend his own capabilities; (ii) an illustration of the delta between imagined and actual use, highlighting how capabilities derive from the human-AI interaction and not the AI system alone; and (iii) a discussion of design choices to craft an ongoing human-AI interaction that addresses the challenge of uncertain outputs of AI systems.
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