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Analysis of Soft Data for Mass Provision of Stereoacuity Testing Through a Serious Game for Health

Lookup NU author(s): Dr Gary Ushaw, Dr Craig Sharp, Jessica Hugill, Sheima Rafiq, Carla Black, Therese Casanova, Dr Kathleen Vancleef, Professor Jenny ReadORCiD, Professor Graham MorganORCiD



This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by ACM, 2017.

For re-use rights please refer to the publisher's terms and conditions.


Mass provision of healthcare through a digital medium can be greatly enhanced by the use of serious games. The accessibility and engagement provided by a serious game to the subject can significantly increase participation. The commercial games industry employs numerous techniques to analyse soft data collected from early users of an application to evolve the application itself and improve the experience of playing it. A game for mass stereoacuity testing of young children is used as a case study in this paper, to illustrate how soft feedback can be used to improve the effectiveness of a clinical trial. The key to the approach is identified as rapid incremental evolution of the application and trial protocol in a manner which increases the amount and usefulness of soft data collected, and reacts to issues identified in the soft data in a timely fashion. It is hoped that the approach can be adopted for a wide range of digital applications for mass health provision.

Publication metadata

Author(s): Ushaw G, Sharp C, Hugill J, Rafiq S, Black C, Casanova T, Vancleef K, Read J, Morgan G

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Proceedings of the 2017 International Conference on Digital Health (DH '17)

Year of Conference: 2017

Pages: 216-220

Online publication date: 02/07/2017

Acceptance date: 02/05/2017

Date deposited: 24/05/2017

Publisher: ACM


DOI: 10.1145/3079452.3079496

Library holdings: Search Newcastle University Library for this item

ISBN: 9781450352499