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Smart augmented reality mHealth for medication adherence
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation.ORCID iD: 0000-0003-1428-1950
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-4072-8795
2018 (English)In: AIH 2018. Joint workshop on AI in health: Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), co-located with AAMAS 2018, ICML 2018, IJCAI 2018 and ICCBR 2018 / [ed] Isabelle Bichindaritz; Christian Guttmann; Pau Herrero; Andrew Koster; Richard Lenz; Cindy Marling, Ohio University; Sara Montagna; Stefania Montani; Manfred Reichert; David Riaño; Michael I. Schumacher; Annette ten Teije; Nirmalie Wiratunga, CEUR-WS , 2018, p. 157-168Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this paper is to introduce a smart mHealth application based on the augmented reality (AR)-paradigm that can support patients with common problems, related to management of their medication. This smart mHealth application is designed and implemented as a medication coach intelligent agent, called Medication Coach Intelligent Agent (MCIA). The MCIA will have to manage different types of information such as the medication plan (medication regime) of the patients, medication restrictions, as well as the patient’s preferences and sensor input data from an AR-headset. Considering all this information, the MCIA leads with holistic decisions in order to offer personalized and unobtrusive interventions, in an autonomous way, to the patients. From a long term perspective, the MCIA should also evaluate its performance over time and adapt in order to improve its interventions with the patients. To show the feasibility of our approach, a proof-of-concept prototype was implemented and evaluated. The results show a high potential for using the MCIA in real settings.

Place, publisher, year, edition, pages
CEUR-WS , 2018. p. 157-168
Series
CEUR workshop proceedings, ISSN 1613-0073
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-258524Scopus ID: 2-s2.0-85050921142OAI: oai:DiVA.org:umu-258524DiVA, id: diva2:2098582
Conference
1st Joint Workshop on AI in Health, AIH 2018 organized as part of the Federated AI Meeting, FAIM 2018, co-located with AAMAS 2018, ICML 2018, IJCAI 2018 and ICCBR 2018
Available from: 2026-09-04 Created: 2026-09-04 Last updated: 2026-09-04Bibliographically approved

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Ingeson, MartinBlusi, MadeleineNieves, Juan Carlos

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Ingeson, MartinBlusi, MadeleineNieves, Juan Carlos
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CiteExportLink to record
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