University of Oulu

Simo Johannes Hosio, Jaro Karppinen, Esa-Pekka Takala, Jani Takatalo, Jorge Goncalves, Niels van Berkel, Shin’ichi Konomi, and Vassilis Kostakos. 2018. Crowdsourcing Treatments for Low Back Pain. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Paper 276, 12 pages. DOI:

Crowdsourcing treatments for low back pain

Saved in:
Author: Hosio, Simo Johannes1; ´Karppinen, Jaro2; Takala, Esa-Pekka2;
Organizations: 1Center for Ubiquitous Computing, University of Oulu, Finland
2Finnish Institute of Occupational Health, Finland
3Oulu University Hospital, Finland
4School of Computing and Information Systems, The University of Melbourne, Australia
5Faculty of Arts and Science, Kyushu University, Japan
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 3.9 MB)
Persistent link:
Language: English
Published: Association for Computing Machinery, 2018
Publish Date: 2019-01-23


Low back pain (LBP) is a globally common condition with no silver bullet solutions. Further, the lack of therapeutic consensus causes challenges in choosing suitable solutions to try. In this work, we crowdsourced knowledge bases on LBP treatments. The knowledge bases were used to rank and offer best-matching LBP treatments to end users. We collected two knowledge bases: one from clinical professionals and one from non-professionals. Our quantitative analysis revealed that non-professional end users perceived the best treatments by both groups as equally good. However, the worst treatments by non-professionals were clearly seen as inferior to the lowest ranking treatments by professionals. Certain treatments by professionals were also perceived significantly differently by non-professionals and professionals themselves. Professionals found our system handy for self-reflection and for educating new patients, while non-professionals appreciated the reliable decision support that also respected the non-professional opinion.

see all

ISBN: 978-1-4503-5620-6
Article number: 276
DOI: 10.1145/3173574.3173850
Host publication: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18. April 21-26, 2018, Montreal OC, Canada
Conference: ACM SIGCHI Annual Conference on Human Factors in Computing Systems
Type of Publication: A4 Article in conference proceedings
Field of Science: 3141 Health care science
113 Computer and information sciences
Funding: This work is partially funded by the Academy of Finland (Grants 276786-AWARE, 286386-CPDSS, 285459- iSCIENCE, 304925-CARE), the European Commission (Grant 6AIKA-A71143-AKAI), and Marie Skłodowska- Curie Actions (645706-GRAGE). We also acknowledge all the participants who were kind enough to share their stories and pains with us.
EU Grant Number: (645706) GRAGE - Grey and green in Europe: elderly living in urban areas
Academy of Finland Grant Number: 276786
Detailed Information: 276786 (Academy of Finland Funding decision)
286386 (Academy of Finland Funding decision)
285459 (Academy of Finland Funding decision)
304925 (Academy of Finland Funding decision)
Copyright information: © Copyright is held by the owner/author(s). Publication rights licensed to ACM. 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18),