oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An interface for IoT: feeding back health-related data to Parkinson's disease patients
Örebro University, Örebro University School of Business.ORCID iD: 0000-0002-2372-4226
Informatics, Business School, Örebro University, Örebro, Sweden.
Informatics, Business School, Örebro University, Örebro, Sweden.
Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden.
Show others and affiliations
2018 (English)In: Journal of Sensor and Actuator Networks, ISSN 1007-7294, E-ISSN 1089-747X, Vol. 7, article id 14Article in journal (Refereed) Published
Abstract [en]

This paper presents a user-centered design (UCD) process of an interface for Parkinson’s disease (PD) patients for helping them to better manage their symptoms. The interface is designed to visualize symptom and medication information, collected by an Internet of Things (IoT)-based system, which will consist of a smartphone, electronic dosing device, wrist sensor and a bed sensor. In our work, the focus is on measuring data related to some of the main health-related quality of life aspects such as motor function, sleep, medication compliance, meal intake timing in relation to medication intake, and physical exercise. A mock-up demonstrator for the interface was developed using UCD methodology in collaboration with PD patients. The research work was performed as an iterative design and evaluation process based on interviews and observations with 11 PD patients. Additional usability evaluations were conducted with three information visualization experts. Contributions include a list of requirements for the interface, results evaluating the performance of the patients when using the demonstrator during task-based evaluation sessions as well as opinions of the experts. The list of requirements included ability of the patients to track an ideal day, so they could repeat certain activities in the future as well as determine how the scores are related to each other. The patients found the visualizations as clear and easy to understand and could successfully perform the tasks. The evaluation with experts showed that the visualizations are in line with the current standards and guidelines for the intended group of users. In conclusion, the results from this work indicate that the proposed system can be considered as a tool for assisting patients in better management of the disease by giving them insights on their own aggregated symptom and medication information. However, the actual effects of providing such feedback to patients on their health-related quality of life should be investigated in a clinical trial.

Place, publisher, year, edition, pages
Multidisciplinary Digital Publishing Institute (MDPI) , 2018. Vol. 7, article id 14
Keyword [en]
Information visualization; user-centered design; internet of things; sensor technology; Parkinson’s disease; patient empowerment; quality of life
National Category
Human Computer Interaction
Research subject
Informatics
Identifiers
URN: urn:nbn:se:oru:diva-65675DOI: 10.3390/jsan7010014OAI: oai:DiVA.org:oru-65675DiVA, id: diva2:1189736
Projects
EMPARK
Funder
Knowledge Foundation, 20160176
Available from: 2018-03-12 Created: 2018-03-12 Last updated: 2018-03-12Bibliographically approved

Open Access in DiVA

An Interface for IoT: Feeding Back Health-Related Data to Parkinson’s Disease Patients(5660 kB)23 downloads
File information
File name FULLTEXT01.pdfFile size 5660 kBChecksum SHA-512
1afcc319cf180076c9e1d7a938b6add9d7d104236c27dfdf1e5bfee0cff0ff7e19695f9f5dcfde4a67db716cb82f9245bdbfec684c71a2ff75ab9aa0ec16acc5
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Memedi, MevludinKolkowska, EllaKlein, Gunnar O.

Search in DiVA

By author/editor
Memedi, MevludinKolkowska, EllaKlein, Gunnar O.
By organisation
Örebro University School of Business
In the same journal
Journal of Sensor and Actuator Networks
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar
Total: 23 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 65 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf