An Adaptive, Structural and Content Gamification Concept for Regulated Daily Routines

In this work, we introduce our concept for regulating daily routines in assisted living environments by the use of gamification elements. Nowadays mobile devices and sensors are ubiquitous, so they are suitable for assisting users on reaching their personal goals. One of the most pressing challenges in this regard is the preservation of long-term user motivation. In this paper we propose a gamification concept for a mobile application that support the achievement of regulated daily routines. With our assistive knowledgeand modelbased approach SeMiWa, the system detects irregularities and their potential cause. These obtained insights are used to adapt the content of the application in a gamified way. A prototypical implementation substantiates our approach and introduces our forthcoming user study.

[1]  Lennart E. Nacke,et al.  From game design elements to gamefulness: defining "gamification" , 2011, MindTrek.

[2]  Thomas Schlegel,et al.  Enabling Virtual, Cloud-Based Sensors in Assisted Living Environments , 2013, 2013 IEEE 5th International Conference on Cloud Computing Technology and Science.

[3]  L. Sauermann,et al.  PIMO-a Framework for Representing Personal Information Models , 2007 .

[4]  Daniel Burmeister,et al.  A modular framework for Ambient Health Monitoring , 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.

[5]  Hongnian Yu,et al.  Elderly activities recognition and classification for applications in assisted living , 2013, Expert Syst. Appl..

[6]  T. Schlegel,et al.  Monitoring Daily Routine Anomalies in Assisted Living Environments , 2014 .

[7]  Thomas Schlegel,et al.  Enabling Cloud-Based and Personalized Sensors in Assisted Living Environments , 2014, Int. J. Organ. Collect. Intell..

[8]  Arne Bröring,et al.  StarFL – a modularised metadata language for sensor descriptions , 2014, Int. J. Digit. Earth.

[9]  Paul Müller,et al.  Ambient Intelligence in Assisted Living: Enable Elderly People to Handle Future Interfaces , 2007, HCI.

[10]  Petra Kaufmann.  The Gamification Of Learning And Instruction Fieldbook Ideas Into Practice , 2016 .

[11]  David Minors,et al.  Circadian Rhythms and the Human , 1981 .

[12]  Thomas Schlegel,et al.  A seamless integration, semantic middleware for cyber-physical systems , 2013, 2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC).

[13]  K. Werbach,et al.  For the Win: How Game Thinking Can Revolutionize Your Business , 2012 .

[14]  Michel Vacher,et al.  SVM-Based Multimodal Classification of Activities of Daily Living in Health Smart Homes: Sensors, Algorithms, and First Experimental Results , 2010, IEEE Transactions on Information Technology in Biomedicine.

[15]  Juho Hamari,et al.  Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification , 2014, 2014 47th Hawaii International Conference on System Sciences.

[16]  Junzhong Gu,et al.  SOCOM: Multi-sensor Oriented Context Model Based on Ontologies , 2012, 2012 Eighth International Conference on Intelligent Environments.