ITR: Adaptive Interfaces for Collecting Survey Data from Users

本研究的目的是确定如何最好地设计从用户那里收集数据（而不是向用户提供数据）的计算机系统。政府机构可能会使用这些系统来收集实际数据，用于计算失业率或消费者价格指数。三套实验室实验侧重于实际和模拟桌面（即键盘和鼠标输入）和语音调查访谈系统。第一组研究考察了反应的准确性和用户对监测用户反应速度和语言模式的系统的满意度，以便诊断用户何时误解了调查问题中的概念，并可以使用额外的澄清。第二组研究检查了用户响应的准确性和对界面的满意度，这些界面通过对话（或不）定制了这种澄清。第三组研究对比了需要用户自学如何解释问题的界面和让用户参与对话以找出正确答案的界面。该项目使用实验心理学的方法，为从用户那里收集信息的界面的未来开发提供指导。这项研究可以显著提高政府机构和其他机构在网上收集的数据的准确性。

The objective of this research is to determine how best to design computer systems for collecting data from (rather than providing data to) users. Government agencies might use such systems to gather the factual data used to calculate the unemployment rate or the Consumer Price Index. Three sets of laboratory experiments focus on actual and simulated desktop (i.e., keyboard and mouse entry) and speech survey interviewing systems. The first set of studies examines response accuracy and user satisfaction with systems that monitor users' speed of responding and speech patterns in order to diagnose when users misinterpret concepts in the survey questions and could use additional clarification. The second set of studies examines user response accuracy and satisfaction with interfaces that do (or do not) tailor this clarification through dialogue. The third set of studies contrasts interfaces that require users to educate themselves about how the questions should be interpreted with interfaces that engage users in dialogue to figure out the correct answer. The project uses the methods of experimental psychology to provide guidelines for future development of interfaces that collect information from users. This research could significantly improve the accuracy of data collected online by government agencies and others.