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机器学习应用于多模态交互、自适应接口和无处不在的辅助技术

Machine Learning Applied to Multi-Modal Interaction, Adaptive Interfaces and Ubiquitous Assistive Technologies
课程网址: http://videolectures.net/nips09_madrid_sanchez_mla/  
主讲教师: Jaisiel Madrid-Sanchez
开课单位: 马德里卡洛斯三世大学
开课时间: 2010-01-19
课程语种: 英语
中文简介:
本演示文稿将描述在技术设计过程中出现的问题,这阻碍了残疾人和老年人在信息社会中的完全融合。为了应对这一挑战,INREDI项目旨在通过提出基本技术来创造个性化的渠道,以便与技术环境进行交流和互动,从而面对用户的个人需求,而不是解决普通用户的需求。为此,机器学习可以帮助构建有效的方法,以在用户界面上反映用户需求、偏好和期望(及其随时间的演变),从而提高满意度和性能。特别是,INREDI联盟内的学术界和工业界共同探讨了在多模式服务和无处不在的辅助技术以及根据用户和技术能力的自适应用户界面上进行机器学习的潜力。
课程简介: The presentation will describe the challenge of eInclusion in the technological design process, which impedes the complete integration of people with disabilities and elderly in Information Society. To face this challenge, the INREDIS project aims to face individual needs of users instead of addressing the needs of the average user, by proposing basic technologies that enables the creation of personalized channels for communication and interaction with the technological environment. For this purpose, Machine Learning can help constructing effective methods to reflect user needs, preferences and expectations (and their evolution over time) on user interfaces, consequently improving satisfaction and performance. In particular, academia and industry within the INREDIS consortium explore together the potential of Machine Learning on multimodal services and ubiquitous assistive technologies, as well as adaptive user interfaces according to user and technological capabilities.
关 键 词: 工艺设计; 个性化需求; 技术环境; 机器学习
课程来源: 视频讲座网
最后编审: 2020-06-01:wuyq
阅读次数: 41