Towards Incentive Management Mechanisms in the Context of Crowdsensing Technologies based on TrackYourTinnitus Insights

Agrawal, Kushal and Mehdi, Muntazir and Reichert, Manfred and Hauck, Franz and Schlee, Winfried and Probst, Thomas and Pryss, Rüdiger (2018) Towards Incentive Management Mechanisms in the Context of Crowdsensing Technologies based on TrackYourTinnitus Insights. In: 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018), 13-15 Aug 2015, Gran Canaria, Spain.

[thumbnail of MobiSPC18_Agrawal-camera ready.pdf] PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (452kB)

Abstract

The increased use of mobile devices has led to an improvement in the public health care through participatory interventions. For example, patients were empowered to contribute in treatment processes with the help of mobile crowdsourcing and crowdsensing technologies. However, when using the latter technologies, one prominent challenge constitutes a continuous user engagement. Incentive management techniques can help to tackle this challenge by motivating users through rewards and recognition in exchange of task completion. For this purpose, we aim at developing a conceptual framework that can be integrated with existing mHealth mobile crowdsourcing and crowdsensing platforms. The development of this framework is based on insights we obtained from the TrackYourTinnitus (TYT) mobile crowdsensing platform. TYT, in turn, pursues the goal to reveal insights to the moment-to-moment variability of patients suffering from tinnitus. The work at hands presents evaluated data of TYT and illustrates how the results drive the idea of a conceptual framework for an incentive management in this context. Our results indicate that a proper incentive management should play an important role in the context of any mHealth platform that incorporates the idea of the crowd.

Item Type: Conference or Workshop Item (Paper)
Subjects: DBIS Research > Publications
Divisions: Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems > DBIS Research and Teaching > DBIS Research > Publications
Depositing User: Kushal Agrawal
Date Deposited: 07 Jul 2018 17:08
Last Modified: 12 Mar 2020 22:40
URI: http://dbis.eprints.uni-ulm.de/id/eprint/1634

Actions (login required)

View Item
View Item