Master Thesis MSTR-2016-41

BibliographyAuda, Jonas: Investigation of Delay Opportunities of Mobile Notifications.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 41 (2016).
157 pages, english.
Abstract

Notifications and interrupts are closely related. Interruptions might mitigate the performance of its receipt and therefore impede the fulfillment of tasks. Notifications can cause such interruptions. Nowadays, smartphones became ubiquitous. A certain amount of notifications is issued to their users every day. Logically, the user of a smartphone is exposed to a certain amount of interruptions. Previews work focused on identifying opportune moments for the notification delivery at which the adverse effects of an interruption is minimal. Smartphones provide various sensors. The data which these sensors acquire can be used to determine the context of the user. With contextual information more suitable moments for the notification delivery can be found. Snoozing mobile notifications by its recipient was not a popular research target. Motivated to investigate this field we developed a concept for snoozing mobile notifications. Further, we developed a second concept of rules that are capable of acting on incoming notifications automatically. We implemented both concepts in a mobile Android application. Afterward, we conducted two studies to gather data. For the first study, we published our application. We collected snooze behavior data from users all over the world. The second study we conducted was a controlled in-situ user study with 18 participants. 16 participants successfully participated. These participants used an updated version of our application. This version allowed them to create rules that can handle their incoming notifications automatically. The rules were able to either suppress incoming notifications, add them to a notification summary, or snooze them to a particular point in time. Further, we gathered qualitative statements through interviews we conducted at the end of the study. We evaluated the data of both studies and discussed the results. We found that snoozing is used for SMS and instant messaging more often that for other application categories. Further, we found that a rule-based approach can bring benefits to the rule creator.

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Department(s)University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
Superviser(s)Henze, Jun.-Prof. Niels; Weber, Dominik; Voit, Alexandra
Entry dateMay 23, 2019
   Publ. Computer Science