Intelligent Technologies for Interactive Entertainment. 8th International Conference, INTETAIN 2016, Utrecht, The Netherlands, June 28–30, 2016, Revised Selected Papers

Research Article

Design of an Adaptive Persuasive Mobile Application for Stimulating the Medication Adherence

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  • @INPROCEEDINGS{10.1007/978-3-319-49616-0_9,
        author={Franci Suni Lopez and Nelly Condori-Fernandez},
        title={Design of an Adaptive Persuasive Mobile Application for Stimulating the Medication Adherence},
        proceedings={Intelligent Technologies for Interactive Entertainment. 8th International Conference, INTETAIN 2016, Utrecht, The Netherlands, June 28--30, 2016, Revised Selected Papers},
        proceedings_a={INTETAIN},
        year={2017},
        month={1},
        keywords={Medication adherence Persuasive message Stress Fuzzy logic Inference system},
        doi={10.1007/978-3-319-49616-0_9}
    }
    
  • Franci Suni Lopez
    Nelly Condori-Fernandez
    Year: 2017
    Design of an Adaptive Persuasive Mobile Application for Stimulating the Medication Adherence
    INTETAIN
    Springer
    DOI: 10.1007/978-3-319-49616-0_9
Franci Suni Lopez1,*, Nelly Condori-Fernandez2,*
  • 1: Universidad Nacional de San Agustín
  • 2: VU University Amsterdam
*Contact email: fsunilo@unsa.edu.pe, n.condori-fernandez@vu.nl

Abstract

There is a variety of persuasive applications that have been proposed in different application domains like well-being, health-care and e-commerce. However many have been designed largely for a general audience. Designers of these technologies may achieve more success if applications consider contextual information of the user for making them more adaptable. This paper is an proposal for improving medication adherence by sending personalized persuasive message and reinforcing feedback. To do this, we propose an adaptive services oriented architecture, and a persuasion strategy defined for selecting the appropriate persuasiveness level according to contextual information such as time and stress. Stress measure is derived from physiological data (e.g. Electro Dermal Activity, heart rate, temperature), which is collected through a wearable wireless multi-sensor device.