Acceptance testing of mobile applications: automated emotion tracking for large user groups
Abstract
Mobile applications1 are nowadays used by everyone. The success of a mobile app highly depends on its user acceptance, which must be checked as part of quality assurance. However, such tests are costly because they usually include testers using the app manually. An obvious solution for improving efficiency is to automate certain test steps. In this article, we present an approach that tracks user emotions automatically to support acceptance testing. Furthermore, we consider user motivation in a positive way with gamification solutions and focus on data privacy aspects in order to gain the trust of potential test users.