Probabilistic modeling of human responses in complex interaction

复杂交互中人类反应的概率建模

• 批准号: DP160104195
• 负责人: Prof Tamás (Tom) Gedeon
• 金额: $ 22.07万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-05-10 至 2019-12-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160104195
• 关键词: Probabilistic; modeling; human; responses; complex

The project aims to develop computational ability to reliably detect and hence act on implicit user preferences. It aims to develop techniques combining advanced non-intrusive sensor measures of conscious and non-conscious behaviour during interaction tasks to enable very high-level computerised support for human goal-seeking in complex data and design environments. It plans to use a user’s physiology and preference evaluation to capture their complex interaction with the data they view, probability models to accumulate information to identify their underlying preferences and extract relationships to find possible ‘hidden variables’ which may help explain and leverage the user's choices.

该项目旨在开发计算能力，以可靠地检测并根据隐式用户偏好采取行动。它的目的是开发技术相结合的先进的非侵入性传感器措施的有意识和无意识的行为在交互任务，使非常高层次的计算机支持人类的目标寻求在复杂的数据和设计环境。它计划使用用户的生理和偏好评估来捕捉他们与所查看数据的复杂交互，概率模型来积累信息以识别他们的潜在偏好，并提取关系以找到可能的“隐藏变量”，这可能有助于解释和利用用户的选择。