Snappy App: a mobile continuous performance test with physical activity measurement for assessing hyperactivity disorder

Tools

Young, Zoe, Craven, Michael P., Groom, Madeleine J. and Crowe, John A. (2014) Snappy App: a mobile continuous performance test with physical activity measurement for assessing hyperactivity disorder. Lecture Notes in Computer Science, 8512 . pp. 363-373. ISSN 0302-9743

Full text not available from this repository.

Abstract

A Continuous Performance Test (CPT) was incorporated into a smartphone application (App) to measure three symptom domains associated with Attention Deficit Hyperactivity Disorder (ADHD); attention, impulsivity and hyperactivity. The App was pilot tested on 11 healthy adults over three testing sessions. No differences in performance were found between testing sessions suggesting good test consistency. A decrement in performance over time was only found for one measure of attention and on one testing session. The CPT showed some sensitivity to ADHD-related symptoms where self-reported impulsive behaviour was related to the CPT measures of impulsivity and activity. User acceptability was good although some design improvements were suggested. Further pilot testing of the App in a clinical population is needed.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/1000315
Additional Information: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-07227-2_35 Chapter in: Human-computer interaction: applications and services: 16th International Conference, HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014, Proceedings, Part III ISBN 978-3-319-07226-5
Keywords: Attention deficit hyperactivity disorder, Continuous Performance Test, m-Health, Ecological interfaces, New technology and its usefulness, Psychological application for user interface, Qualitative and quantitative measurement and evaluation.
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Psychiatry and Applied Psychology
Identification Number: https://doi.org/10.1007/978-3-319-07227-2_35
Depositing User: Eprints, Support
Date Deposited: 12 Feb 2016 15:07
Last Modified: 04 May 2020 20:18
URI: https://eprints.nottingham.ac.uk/id/eprint/31663

Actions (Archive Staff Only)

Edit View Edit View