Integrating Machine Learning into the UX Design Process
| dc.contributor.advisor | Walsh, Greg | |
| dc.contributor.advisor | Blodgett, Bridget | |
| dc.contributor.author | Ahmed, Tauhid | |
| dc.contributor.department | University of Baltimore. School of Information Arts and Technologies | en_US |
| dc.contributor.program | Masters of Science in Interaction Design and Information Architecture | en_US |
| dc.date.accessioned | 2019-04-01T20:27:05Z | |
| dc.date.available | 2019-04-01T20:27:05Z | |
| dc.date.issued | 2018-12 | |
| dc.description | M.S. -- University of Baltimore, 2018 | |
| dc.description | Thesis submitted to the Yale Gordon College of Arts and Sciences of the University of Baltimore in partial fulfillment of the requirements for the degree of Master of Science in Interaction Design and Information Architecture | |
| dc.description.abstract | The following paper discusses how machine learning is becoming the new user experience tool for designers. Throughout the last decade, machine learning has vastly improved the user experience and human-machine interfacing by permitting machines to learn who we are and how we would like our systems to communicate with us. Machine learning opens the door for user interface and user experience design opportunities that could further meet users’ needs. To explore this phenomenon, Coupon Buddy was designed using a prototyping strategy to explore how machine learning could classify comments and adapt to user interaction and feedback. More specifically, the application functioned as a research channel to observe how UX designers could improve design processes for better user experiences through the accumulation of machine learning. Coupon Buddy was designed to allow users to save all their coupons in one place and use it for their shopping needs. Not only did the creation of Coupon Buddy prototypes allow us to investigate how much knowledge of machine learning our participants already had, but it facilitated ideas for how machine learning corresponds to a stronger UX design approach. | en_US |
| dc.format.extent | 41 leaves | en_US |
| dc.format.mimetype | application/pdf | |
| dc.genre | theses | en_US |
| dc.identifier | doi:10.13016/m2p0ew-6tnl | |
| dc.identifier.other | UB_2018_Ahmed_T | |
| dc.identifier.uri | http://hdl.handle.net/11603/13292 | |
| dc.language.iso | en_US | en_US |
| dc.subject | machine learning | en_US |
| dc.subject | Prototyping | en_US |
| dc.subject | crowdsourcing | en_US |
| dc.subject | feedback analysis | en_US |
| dc.title | Integrating Machine Learning into the UX Design Process | en_US |
| dc.type | Text | en_US |