CAREER: Data-Driven User Interface Designs for Culturally Diverse Groups

职业：针对文化多元化群体的数据驱动用户界面设计

• 批准号: 1651487
• 负责人: Katharina Reinecke
• 金额: $ 55.64万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1651487&HistoricalAwards=false
• 关键词: CAREER; Data; Driven; User; Interface

This research will systematically investigate how to make information technology more accessible to users from varied cultural backgrounds. Research shows that user interfaces designed for undifferentiated markets are less usable, less intuitive, and less appealing than are locally designed interfaces, making users less efficient and less satisfied. The results will inform novel user interface design guidelines and help build both models and tools for interface designers and end users that support the automated adaption of web interfaces to specific cultural groups. Guidelines and tools to be produced in this project will assist businesses in making decisions about, reducing costs associated with, and increasing total revenue and net income derived from preparing products for international markets. Educational goals of this project are to (1) involve high school and undergraduate students from varied cultural and demographic backgrounds in this research, (2) create and disseminate open-source educational materials that immediately affect designers' understanding and creation of inclusive website designs, and (3) use citizen scientists to participate in and promote research results to the public. To foster information inclusiveness, this research aims to translate seminal lab-based studies on visual perception into large-scale online experiments that will be administered globally on our experiment platform, LabintheWild. The research will systematically investigate the influence of human diversity on visual perception and on user interface design. Traditional academic studies conducted with small, locally recruited convenience samples are not always generalizable given their skew toward unrepresentative test subjects. This research will vastly extend conventional study populations using a proven crowdsourced experiment platform and thereby more generalizably contribute to the knowledge domains of visual perception, cultural psychology, human-computer interaction, and adaptive user interfaces by providing: (1) scientific findings on human perception that compare people from at least 30 countries and varied demographic backgrounds (2) best practice, data-driven user interface design guidelines for these groups, (3) predictive models and tools that support the automated adaption of web interfaces to varied user backgrounds, and (4) evaluations of whether these tools successfully improve work efficiency and user satisfaction.

这项研究将系统地研究如何使信息技术从各种文化背景中更容易访问。研究表明，与本地设计的界面相比，专为未分化市场设计的用户界面较不可能，直观且吸引力较低，从而使用户效率降低且不满意。结果将为新颖的用户界面设计指南提供信息，并帮助构建界面设计人员和最终用户的模型和工具，以支持Web接口自动适应特定文化群体。该项目中要生产的准则和工具将有助于企业做出有关与国际市场准备产品所获得的总收入和净收入的决策，减少成本以及增加总收入和净收入。 该项目的教育目标是（1）涉及这项研究中各种文化和人口背景的高中和本科生，（2）创建和传播开源教育材料，这些材料立即影响设计师对包容性网站设计的理解和创建，（3）使用公民科学家参与公众的研究和促进公众的研究结果。为了培养信息包容性，这项研究旨在将基于开创性的视觉感知研究转化为大规模在线实验，这些研究将在我们的实验平台Labinthewild上全球管理。该研究将系统地研究人类多样性对视觉感知和用户界面设计的影响。鉴于它们偏向非代表性的测试对象，并非总是可以推广到本地招募的便利样本进行的传统学术研究。 This research will vastly extend conventional study populations using a proven crowdsourced experiment platform and thereby more generalizably contribute to the knowledge domains of visual perception, cultural psychology, human-computer interaction, and adaptive user interfaces by providing: (1) scientific findings on human perception that compare people from at least 30 countries and varied demographic backgrounds (2) best practice, data-driven user interface design guidelines for these groups, （3）支持Web界面对各种用户背景的自动适应的预测模型和工具，以及（4）评估这些工具是否成功提高了工作效率和用户满意度。

项目成果

Keep it Simple: How Visual Complexity and Preferences Impact Search Efficiency on Websites

• DOI: 10.1145/3313831.3376849
• 发表时间: 2020-01-01
• 期刊: PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)
• 作者: Baughan, Amanda;August, Tal;Reinecke, Katharina
• 通讯作者: Reinecke, Katharina

How Online Tests Contribute to the Support System for People With Cognitive and Mental Disabilities

在线测试如何为认知和精神障碍人士的支持系统做出贡献

• DOI: 10.1145/3441852.3471229
• 发表时间: 2021
• 期刊: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility
• 作者: Li, Qisheng;Lee, Josephine;Zhang, Christina;Reinecke, Katharina
• 通讯作者: Reinecke, Katharina