预测性交互Predictive Interaction |
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课程网址: | https://videolectures.net/videos/kdd2016_heer_predictive_interact... |
主讲教师: | Jeffrey Heer |
开课单位: | KDD 2016研讨会 |
开课时间: | 2025-02-04 |
课程语种: | 英语 |
中文简介: | 我们如何构建交互式系统,使其对我们试图执行的任务有更好的模型,随着时间的推移学习,帮助细化模糊的用户意图,并扩展到大型或重复的工作负载?在这次演讲中,我将介绍预测交互,这是一个用于交互系统的框架,它将一些规范的负担从用户转移到算法,同时保留了人类的指导和表达能力。其核心思想是为软件注入特定领域的用户任务模型,进而为预测方法提供动力,以建议各种可能的行动。我将通过从广泛部署的数据转换和可视化系统中提取的示例来说明这些概念(据报道,生产率提高了一个数量级),然后讨论相关的设计考虑因素和未来的研究方向。 |
课程简介: | How might we architect interactive systems that have better models of the tasks we're trying to perform, learn over time, help refine ambiguous user intents, and scale to large or repetitive workloads? In this talk I will present Predictive Interaction, a framework for interactive systems that shifts some of the burden of specification from users to algorithms, while preserving human guidance and expressive power. The central idea is to imbue software with domain-specific models of user tasks, which in turn power predictive methods to suggest a variety of possible actions. I will illustrate these concepts with examples drawn from widely-deployed systems for data transformation and visualization (with reported order-of-magnitude productivity gains) and then discuss associated design considerations and future research directions. |
关 键 词: | 预测性交互; 交互式系统; 可视化系统 |
课程来源: | 视频讲座网 |
数据采集: | 2025-02-27:liyq |
最后编审: | 2025-02-27:liyq |
阅读次数: | 5 |