SBIR Phase II: Cloud-Enabled Analysis Of Facial Affect

SBIR 第二阶段：基于云的面部影响分析

• 批准号: 1152261
• 负责人: Rana elKaliouby
• 金额: $ 50万
• 依托单位: Affectiva, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-03-15 至 2016-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1152261&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Cloud; Enabled

This Small Business Innovation Research (SBIR) Phase II project will commercialize theworld?s first cloud-based emotion measurement platform. Today, the majority of marketresearch is expensive and slow, relying either on subjective self-reports or costly,obtrusive lab-based technologies. The proposed emotion measurement platform aims todemocratize market research by translating nonverbal facial expressions into intuitiveemotional insights. It also drives down research costs and improves market reachthrough the use of widely available webcams as the means to record faces. Thisplatform enables businesses of any size to capture consumer?s emotional reactions asthey engage with their brands, particularly in the areas of advertising, product designand packaging. For example, brand managers, marketers and agencies can optimize adeffectiveness by evaluating viewers' tacit, moment-by-moment emotional response, inreal-time over the web, and through the platform?s emotion norms database. Thetechnical objectives of this project focus on implementing automated facial analysis as ascalable cloud-based software-as-a-service platform, building the emotion normsdatabase, and deploying the platform with leading market research partners.The broader impact/commercial potential of this project is to disrupt longstandingmethods in market research by objectively measuring people?s emotional experiencesa) unobtrusively b) in real-time, c) at scale, and d) cost-effectively. While thisdifferentiated emotion measurement technology can be leveraged in several targetmarkets, the company?s initial focus is on measuring advertising effectiveness andmedia research to deliver actionable insights to leading media and market researchcompanies. In addition, the proposed cloud-based emotion measurement platform hasthe potential to significantly accelerate research in behavioral sciences by enabling thecrowd sourcing of huge corpuses of naturalistic and spontaneous responses to a widerange of interactions and experiences from online learning to social gaming. It alsoallows entirely new research questions to be asked, and tackled with ecologically validdata, such as whether individuals on the autism spectrum respond differently to content.Thus, in line with the origins of this technology, our product accelerates psychologicaland clinical research on social-emotional intelligence. The long-term vision for thissoftware as a service platform is to ?emotion-enable? the Internet, giving consumers andorganizations the ability to add emotion context to all online interactions.

这个小企业创新研究（SBIR）第二阶段项目将商业化世界？第一个基于云的情绪测量平台。今天，大多数市场研究都是昂贵和缓慢的，要么依赖于主观的自我报告，要么依赖于昂贵的、突兀的实验室技术。拟议中的情绪测量平台旨在通过将非语言面部表情转化为直观的情感洞察来使市场研究民主化。它还通过使用广泛使用的网络摄像头作为记录面部的手段，降低了研究成本，提高了市场覆盖率。这个平台使任何规模的企业能够抓住消费者？当他们与自己的品牌接触时，特别是在广告、产品设计和包装方面，他们的情绪反应。例如，品牌经理，营销人员和代理商可以通过评估观众的默契，每时每刻的情绪反应，实时通过网络，并通过平台优化效果？的情感规范数据库。该项目的技术目标是将自动面部分析作为一个可扩展的基于云的软件即服务平台，建立情感规范数据库，并与领先的市场研究合作伙伴部署该平台。的情感体验a）不显眼地B）实时地，c）大规模地，以及d）经济有效地。虽然这种差异化的情绪测量技术可以在几个目标市场中发挥作用，但该公司？最初的重点是衡量广告效果和媒体研究，为领先的媒体和市场研究公司提供可操作的见解。此外，提出的基于云的情感测量平台有可能通过使大量自然和自发反应的语料库能够对从在线学习到社交游戏的广泛互动和体验进行批量采购来显着加速行为科学的研究。它还允许提出全新的研究问题，并使用生态上有效的数据进行处理，例如自闭症谱系的个体对内容的反应是否不同。因此，与这项技术的起源相一致，我们的产品加速了对社会情绪智力的心理和临床研究。这个软件作为服务平台的长期愿景是？情绪化互联网，使消费者和组织能够添加情感背景的所有在线互动。