Online Survey Methodology for User Experience Research: A Framework for Utility and Quality

被引：1

作者：

Callegaro, Mario ^{[1
]}

Villar, Ana ^{[2
]}

Sedley, Aaron ^{[3
]}

机构：

[1] Google Cloud, San Francisco, CA 94107 USA

[2] Facebook, Community Integr Res, Menlo Pk, CA USA

[3] Google Inc, User Voice Res, Mountain View, CA USA

来源：

CHI'20: EXTENDED ABSTRACTS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS | 2020年

关键词：

Web surveys; mobile web surveys; total survey error; cognitive processes of survey response; probability vs. nonprobability sampling; panel surveys; questionnaire design; standardized usability questionnaires; translation and localization; in product surveys; incentives; ethical; accessibility; legal considerations for web surveys;

D O I：

10.1145/3334480.3375048

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Online surveys are an extremely popular research method in HCI and UX research. Surveys are often perceived to be easy to create [1] and sometimes used even if they are not the most appropriate method [7]. This course will review state-of-the-art methods, drawing from the past 20 years of research on online surveys [3, 4] and present applications for the user experience and HCI context [8]. Upon completion of the class, attendees will have a framework of survey quality, a roadmap to plan & implement, and resources to extend their knowledge of surveys for HCI and UX research. The instructors have conducted hundreds of surveys that tech companies use on a regular basis to inform business and product decisions. They also consult and reviews surveys on a daily basis. Finally, they regularly teach survey research, and have been instrumental in connecting User Experience Research with survey research principles and measurement best practices.

引用

页数：4

共 50 条

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