Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Supporting Rapid Product Changes through Emotional Tracking

 
: Mennig, Patrick; Scherr, Simon André; Elberzhager, Frank

:

IEEE/ACM 4th International Workshop on Emotion Awareness in Software Engineering, SEmotion 2019 : 28-28 May 2019, Montreal, QC, Canada
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-2280-9
ISBN: 978-1-7281-2281-6
S.8-12
International Workshop on Emotion Awareness in Software Engineering (SEmotion) <4, 2019, Montreal>
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
02K14A182; Opti4Apps
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
03SBE112D; EnStadt: Pfaff
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
03SBE112G; EnStadt: Pfaff
Englisch
Konferenzbeitrag
Fraunhofer IESE ()
Cameras; Three-dimensional displays; Sensors; Smart phones; Streaming media; Libraries; Real-time systems

Abstract
Agile principles have led to short development cycles with rapid changes in requirements, especially for mobile apps. The success of apps highly depends on their acceptance by the users. However, testing user acceptance is usually costly and timeconsuming. This imposes a conflict between quality and agility. As current verification and validation methods for requirements do not always fit the demands for volatile requirements, we propose the idea of emotional tracking. In this positional paper, we present how the vision of tracking emotions shown by users while interacting with an app might be realized by using 3D sensing cameras in smartphones. We propose a plan for the technical and organizational process of emotional tracking on the user's device and the backend and an experiment setup to link muscular positions to emotions, to preserve user privacy. With emotional tracking, we provide a new method for verification and validation of software requirements. Our method can be used in parallel to development activities and combines quantitative usage data with users' feelings and emotions to get a fast and holistic idea of an app's user acceptance.

: http://publica.fraunhofer.de/dokumente/N-565136.html