Innovative Data-Driven Methods to Improve Digital User Experience
dc.contributor.author | Lee, Yoo Young | |
dc.contributor.author | Smith, Andy | |
dc.contributor.author | Calvert, Lisa | |
dc.contributor.author | Snajdr, Eric | |
dc.date.accessioned | 2016-05-24T19:11:18Z | |
dc.date.available | 2016-05-24T19:11:18Z | |
dc.date.issued | 2016-05-24 | |
dc.description.abstract | This presentation was held in 8th Qualitative and Quantitative Methods in Libraries (QQML) International Conference, London, United Kingdom. Digital user experience (DUX) is a combination of art and science. From an artistic point of view, DUX should provide a simple, clean and engaging web or mobile interface. In order to design such an artistic interface which guarantees the best user experience, scientific user research must be conducted to better understand users’ needs, their motivation to use websites, as well as their web behavior. This paper will explore new trends of qualitative and quantitative user research methods in each DUX stage in order to build excellent user experience on the library website. In general, DUX is comprised of 6 stages: Planning, user research, design, development, launch, and quality control. At Indiana University Purdue University Indianapolis (IUPUI) University Library, a variety of qualitative and quantitative usability research was conducted in different settings. This, along with data from Google Analytics and Google Webmaster Tools, were used before launch in order to know the users. After launch, user experience research was conducted during multiple library instruction sessions to ensure users had a good experience on the website. This paper will address diverse user research methods and discuss tools used during DUX research conducted from January 2014 to December 2015. In addition, the paper will compare pros and cons of DUX methods; discuss practical tips on how to apply data gathered from user research to design and improve websites; and share lessons learned such as DUX research planning, challenges, and effective methods in each DUX stage. | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/9639 | |
dc.language.iso | en_US | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | |
dc.subject | Web usability | en_US |
dc.subject | Digital user experience | en_US |
dc.subject | Quantitative and qualitative methods | en_US |
dc.subject | Academic library website | en_US |
dc.subject | Evidence-based practice | en_US |
dc.subject.lcsh | User centered system design | en_US |
dc.subject.lcsh | Library Web sites -- Use studies | en_US |
dc.subject.lcsh | Evidence-based library science | en_US |
dc.title | Innovative Data-Driven Methods to Improve Digital User Experience | en_US |
dc.type | Presentation | en_US |