Show simple item record

dc.contributor.advisorHu, Antonio
dc.contributor.authorCarlson, Ethan L.
dc.date.accessioned2022-01-14T15:13:39Z
dc.date.available2022-01-14T15:13:39Z
dc.date.issued2021-06
dc.date.submitted2021-06-25T20:19:41.160Z
dc.identifier.urihttps://hdl.handle.net/1721.1/139476
dc.description.abstractAs our mobile, digital lives have continued to grow, the usability of mobile applications has become a central design consideration for the organizations that deliver those applications and the users who consume them. Existing methods for evaluating the usability of new designs and design changes have drawbacks. Digital methods which track user actions and time spent are scalable, but it is difficult to know how a user was feeling when an action was taken, and therefore to know how to improve the experience. Alternatively, qualitative research methods allow designers to interview and observe users in real time to obtain high quality data on app usability. However, these methods are expensive and do not scale well to every product release, demographic, and geography. ‘Real Time UX’ is a phone case that measures several biometric signals available at the user’s hands and uses these data to infer stress, frustration, and engagement in context of app behavior. This insight can then be operationalized to provide automated usability feedback to mobile app designers (slow loop feedback) or it can be integrated directly into the mobile app itself in order to adapt the app functionality to the user (fast loop feedback). This paper presents the motivation for and design of Real Time UX, potential applications of the platform, feedback from users, and opportunities for future work in the space.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleOperationalizing Psychophysiological Correlates of Mobile App User Experience
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentSystem Design and Management Program.
dc.identifier.orcidhttps://orcid.org/0000-0003-0624-8667
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Engineering and Management


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record