活着的记忆:人工智能生成的角色作为数字纪念品

Pat Pataranutaporn, Valdemar Danry, Lancelot Blanchard, Lavanay Thakral, Naoki Ohsugi, P. Maes, Misha Sra
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引用次数: 0

摘要

每一种人类文化都发展了与纪念过去的人有关的习俗和仪式——无论是哀悼、文化保护还是了解历史事件。在本文中,我们提出了“生活记忆”的概念:由个人留下的日记、信件和数据创建的交互式数字纪念品。就像一张互动照片一样,活着的记忆可以被交谈,也可以被提问,从而很容易地获取一个人的知识、态度和过去的经历。为了证明我们的概念,我们创建了一个基于人工智能的系统,可以从任何数据源生成活记忆,并实现了三位历史人物“莱昂纳多·达·芬奇”、“Murasaki Shikibu”和“Robert Scott船长”的活记忆。作为第二个关键贡献,我们提出了一种新的度量方案来评估活记忆架构的准确性,并展示了我们的管道在基线上改进的准确性。最后,我们比较了与达芬奇生前记忆互动和阅读他的日记的用户体验和学习效果。我们的研究结果表明,除了简单地阅读日记外,与生活记忆互动可以提高学习效率和学习人物的动力。
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Living Memories: AI-Generated Characters as Digital Mementos
Every human culture has developed practices and rituals associated with remembering people of the past - be it for mourning, cultural preservation, or learning about historical events. In this paper, we present the concept of “Living Memories”: interactive digital mementos that are created from journals, letters and data that an individual have left behind. Like an interactive photograph, living memories can be talked to and asked questions, making accessing the knowledge, attitudes and past experiences of a person easily accessible. To demonstrate our concept, we created an AI-based system for generating living memories from any data source and implemented living memories of the three historical figures “Leonardo Da Vinci”, “Murasaki Shikibu”, and “Captain Robert Scott”. As a second key contribution, we present a novel metrics scheme for evaluating the accuracy of living memory architectures and show the accuracy of our pipeline to improve over baselines. Finally, we compare the user experience and learning effects of interacting with the living memory of Leonardo Da Vinci to reading his journal. Our results show that interacting with the living memory, in addition to simply reading a journal, increases learning effectiveness and motivation to learn about the character.
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