IMPACT - Incentive Management in the context of Patient Assessments by using mobile crowdsourcing and Crowdsensing Technologies

Project Description


Incentive Management (IM) pursues the idea of offering benefits or rewards to the participants of a system. Usually this requires the achievement of specific goals or completion of certain activities. Today, IM techniques are increasingly used in various industries and research fields. In principal, IM techniques focus on the concrete actions and methods to increase the motivation of the participants, either by offering rewards or recognition for completing tasks. Moreover, IM techniques are supported by economic theories and mathematical models like the ‘Game Theory’, which illustrates the strategic behavior of the participants, involved in any particular setting and furthermore studies the decision making of these participants. Moreover, these models are also useful to design and run a strategically balanced system, in which the total system resources at any given point is a fixed constant.

When dealing with medical data, in turn, an added challenge emerges with respect to the privacy aspects because the data contains sensitive and personal information of users. In this context, Mobile Crowdsourcing (MCR) and Mobile Crowdsensing (MCS) are modern techniques that are increasingly used for gathering medical data in everyday life. MCR and MCS build on the notion of 'bring your own device' and the capabilities of contemporary smart mobile devices. Furthermore, MCS also eases the capturing of environmental data of patients through the inherited sensors of new age smartphones. To tackle the existing and emerging challenges, IMPACT builds on top of following 3 major pillars:

  1. Theoretical Models (Game Theory)
  2. Performance Metrics (Architecture and Algorithms)
  3. Experiments (Data Analysis)

Furthermore, to design a strategically balanced system IMPACT considers:

  1. Computational efficiency (System resources optimization)
  2. Individual rationality (User gets a non-negative utility)
  3. Profitability (System gets a non-negative utility)
  4. Truthfulness (Incentive compatibility)

Conceptual Framework


In IMPACT, we particularly place our focus on the application of MCR and MCS in the context of tinnitus and how tinnitus patients can be motivated to share their data that can be further evaluated to work on new treatment methods. Therefore, it is important to consider the IM techniques for designing useful MCR and MCS applications and thereby we distinguish two entities in this ecosystem:

  • The Platform (Application)
  • The User (Patients)

Framework Abstraction

Project Details

Project Team

Ulm University
Opens internal link in new windowM.Sc. Kushal Agrawal
Institute of Databases and Information Systems
Opens internal link in new windowDr. Rüdiger Pryss
Institute of Databases and Information Systems
Opens internal link in new windowProf. Dr. Manfred Reichert
Institute of Databases and Information Systems
Opens internal link in current windowM.Sc. Muntazir Mehdi
Institute of Distributed Systems
Opens internal link in new windowProf. Dr. Franz Hauck
Institute of Distributed Systems
University of Regensburg
Opens external link in new windowDr. Winfried Schlee
Department of Psychiatry and Psychotherapy

Project Partners

Institute of Databases and Information Systems, Ulm University
Institute of Distributed Systems, Ulm University
European School for Interdisciplinary Tinnitus Research (ESIT)

Project Duration

October 2017 to September 2020

Project Funding

This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement number 722064.