SHB: Medium: Quantitative Observational Practice in Family Studies: The Case of Reactivity

SHB：媒介：家庭研究中的定量观察实践：反应性案例

• 批准号: 1059095
• 负责人: Panayiotis Georgiou
• 金额: $ 76.65万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1059095&HistoricalAwards=false
• 关键词: SHB; Medium; Quantitative; Observational; Practice

In contrast to the prevalent uni-modal perspective, the project focuses on quantitatively integrating information residing in multiple modalities to yield observational behavior analysis descriptions that range from global categories to time continuous behavioral abstractions and contributes novel algorithms and models for recognizing and modeling communicative and affective interaction dynamics elicited in realistic settings of couples and family therapy. The computational challenges are multiple from automated perception of emotionally rich behaviors and cognition through models for domain specific interpretation of the sensed information, to action through combining the knowledge and expertise of humans with the information processing abilities of the machine.The research impacts a wide range of applications centered on observations of the human state and interactions, e.g., mental health applications, business customer services, negotiation tactics, law enforcement (interviews), etc. The project also provides multi-disciplinary training for undergraduate and graduate students. The expected outcomes include benefits to psychology through novel information augmentation, in technology through improved intelligent and robust human behavior computing, and in observational practice through the introduction of transformational tools.

与流行的单通道观点不同，该项目专注于定量整合驻留在多个通道中的信息，以产生从全局类别到时间连续行为抽象的观察性行为分析描述，并为识别和建模现实环境中夫妻和家庭治疗中引发的沟通和情感互动动力学提供了新的算法和模型。计算挑战是多重的，从通过特定领域解释感知信息的模型自动感知丰富的情感行为和认知，到通过将人类的知识和专业知识与机器的信息处理能力相结合来采取行动。研究影响到以观察人类状态和交互为中心的广泛应用，例如心理健康应用、商业客户服务、谈判策略、执法(面试)等。该项目还为本科生和研究生提供多学科培训。预期的结果包括通过新的信息增强对心理学的好处，通过改进智能和健壮的人类行为计算在技术方面的好处，以及通过引入变革性工具在观察实践中的好处。